Papers from 2007 on: I haven't been good at keeping this page up to date, and only a few papers have been added here.
But you can almost certainly find what you need
on Google Scholar,
Semantic Scholar, or on the
Stanford NLP Group publications page. They're almost always up to date!
Papers up till 2006: almost every paper of mine up till 2006 is available here, usually as a PDF file.
Sometime when I have extra time, I'll stick up the rest....
2025
Weixin Liang, Yaohui Zhang, Zhengxuan Wu, Haley Lepp, Wenlong Ji, Xuandong Zhao, Hancheng Cao, Sheng Liu, Siyu He, Zhi Huang, Diyi Yang, Christopher Potts, Christopher D. Manning, and James Zou. 2025.
Quantifying large language model usage in scientific papers.
Nature Human Behaviour.
https://nlp.stanford.edu/~manning/papers/Liang_et_al-2025-Nature_Human_Behaviour.pdf
pdf
Nature
Varun Magesh, Faiz Surani, Matthew Dahl, Mirac Suzgun, Christopher D. Manning, and Daniel E. Ho. 2025.
Hallucination-Free? Assessing the Reliability of Leading AILegal Research Tools.
Journal of Empirical Legal Studies 22: 216–242.
https://nlp.stanford.edu/~manning/papers/Magesh-Hallucination‐Free-2025.pdf
pdf
2024
Faiz Surani, Mirac Suzgun, Vyoma Raman, Christopher D. Manning, Peter Henderson, and Daniel E. Ho. 2024.
AI for Scaling Legal Reform: Mapping and Redacting Racial Covenants in Santa Clara County.
Ms. Stanford RegLab.
https://dho.stanford.edu/wp-content/uploads/Covenants.pdf
pdf
web
Zhengxuan Wu, Aryaman Arora, Zheng Wang, Atticus Geiger, Dan Jurafsky, Christopher D Manning, and Christopher Potts. 2024.
ReFT: Representation finetuning for language models
arXiv preprint arXiv:2404.03592.
https://arxiv.org/pdf/2404.03592
pdf
2023
Katherine Tian, Eric Mitchell, Allan Zhou, Archit Sharma, Rafael Rafailov, Huaxiu Yao, Chelsea Finn, and Christopher D. Manning. 2023. Just Ask for Calibration: Strategies for Eliciting Calibrated Confidence Scores from Language Models Fine-Tuned with Human Feedback.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing (EMNLP 2023), pp. 5433–5442.
https://aclanthology.org/2023.emnlp-main.330.pdf
pdf
Rafael Rafailov, Archit Sharma, Eric Mitchell, Stefano Ermon, Christopher D. Manning, and Chelsea Finn. 2023. Direct Preference Optimization: Your Language Model is Secretly a Reward Model.
Advances in Neural Information Processing Systems 36 (NeurIPS 2023), pp. 53728-53741.
https://arxiv.org/pdf/2305.18290
pdf
2022
Christopher D. Manning. 2022. Human Lanugage Understanding & Reasoning.
Dædalus 151(2): 127–138.
https://nlp.stanford.edu/~manning/papers/Daedalus_Sp22_09_Manning.pdf
pdf
web1
web2
Ruth-Ann Armstrong, John Hewitt, and Christopher D. Manning. 2022. JamPatoisNLI: A Jamaican Patois Natural Language Inference Dataset.
Findings of EMNLP 2022.
https://nlp.stanford.edu/pubs/armstrong2022jampatoisnli.pdf
pdf
2021
Siddharth Karamcheti, Ranjay Krishna, Li Fei-Fei, and Christopher Manning. 2021.
Mind Your Outliers! Investigating the Negative Impact of Outliers on Active Learning for Visual Question Answering.
Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, Volume 1: Long Papers, pp. 7265–7281.
https://aclanthology.org/2021.acl-long.564.pdf
pdf
Yuhao Zhang, Yuhui Zhang, Peng Qi, Christopher D Manning, and Curtis P Langlotz. 2021.
Biomedical and clinical English model packages for the Stanza Python NLP library.
Journal of the American Medical Informatics Association, 28(9): 1892–1899.
https://doi.org/10.1093/jamia/ocab090
web
Marie-Catherine de Marneffe, Christopher D. Manning, Joakim Nivre, and Daniel Zeman. 2021.
Universal Dependencies.
Computational Linguistics 47(2): 255–308.
https://nlp.stanford.edu/~manning/papers/Universal_Dependencies_coli_a_00402.pdf
pdf
web
2020
Yuhao Zhang, Derek Merck, Emily Bao Tsai, Christopher D. Manning, Curtis P. Langlotz. 2020.
Optimizing the Factual Correctness of a Summary: A Study of Summarizing Radiology Reports.
Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics (ACL 2020), pp. 5108-5120.
https://aclanthology.org/2020.acl-main.458.pdf
pdf
Christopher D. Manning, Kevin Clark, John Hewitt, Urvashi Khandelwal, and Omer Levy. 2020.
Emergent linguistic structure in artificial neural networks trained by self-supervision.
Proceedings of the National Academy of Sciences (PNAS) 117(48): 30046–30054.
https://www.pnas.org/content/117/48/30046
pdf
web
Kevin Clark, Minh-Thang Luong, Quoc V. Le, and Christopher D. Manning. 2020.
ELECTRA: Pre-training text encoders as discriminators rather than generators.
Proceedings of the International Conference on Learning Representations (ICLR 2020).
https://arxiv.org/pdf/2003.10555.pdf
pdf
Joakim Nivre, Marie-Catherine de Marneffe, Filip Ginter, Jan Hajic, Christopher D. Manning, Sampo Pyysalo, Sebastian Schuster, Francis Tyers, and Daniel Zeman. 2020.
Universal Dependencies v2: An Evergrowing Multilingual Treebank Collection.
Proceedings of The 12th Language Resources and Evaluation Conference (LREC 2020).
https://nlp.stanford.edu/~manning/papers/nivre2020UDv2.pdf
pdf
Yuhao Zhang, Hang Jiang, Yasuhide Miura, Christopher D Manning, and Curtis P Langlotz. 2020.
Contrastive learning of medical visual representations from paired images and text.
arXiv preprint arXiv:2010.00747.
https://arxiv.org/pdf/2010.00747.pdf
pdf
2019
Abigail See, Aneesh Pappu, Rohun Saxena, Akhila Yerukola, and Christopher D. Manning. 2019.
Do Massively Pretrained Language Models Make Better Storytellers?
Proceedings of the 23rd Conference on Computational Natural Language Learning (CoNLL 2019), pp. 843–861.
https://aclanthology.org/K19-1079.pdf
pdf
Kevin Clark, Minh-Thang Luong, Urvashi Khandelwal, Christopher D. Manning, and Quoc V. Le. 2019.
BAM! Born-Again Multi-Task Networks for Natural Language Understanding.
Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics (ACL 2019), pp. 5931-5937.
https://www.aclweb.org/anthology/P19-1595.pdf
pdf
Drew A. Hudson and Christopher D. Manning. 2019.
Learning by abstraction: The neural state machine.
Advances in Neural Information Processing Systems 32 (NeurIPS 2019).
https://nlp.stanford.edu/pubs/hudson2019learning.pdf
pdf
Drew A. Hudson and Christopher D. Manning. 2019.
GQA: A new Dataset for Real-World Visual Reasoning and Compositional Question Answering.
CVPR 2019.
https://arxiv.org/pdf/1902.09506.pdf
pdf
2018
Timothy Dozat and Christopher D. Manning. 2018.
Simpler but More Accurate Semantic Dependency Parsing.
In
Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers), pp. 484–490.
https://aclanthology.org/P18-2077.pdf
pdf
Drew A. Hudson and Christopher D. Manning. 2018. Compositional Attention Networks for Machine Reasoning.
In
International Conference on Learning Representations (ICLR 2018).
https://arxiv.org/pdf/1803.03067.pdf
pdf
web
Peng Qi, Timothy Dozat, Yuhao Zhang, and Christopher D. Manning. 2018. Universal Dependency Parsing from Scratch.
Proceedings of the CoNLL 2018 Shared Task: Multilingual Parsing from Raw Text to Universal Dependencies (CoNLL 2018), pp. 160-170.
https://www.aclweb.org/anthology/K18-2016.pdf
pdf
2017
Timothy Dozat, Peng Qi, and Christopher D. Manning. 2017.
Stanford’s Graph-based Neural Dependency Parser at the CoNLL 2017 Shared Task.
In
CoNLL 2017 Shared Task: Multilingual Parsing from Raw Text to Universal Dependencies, pp. 20-30.
http://aclweb.org/anthology/K17-3002.pdf
pdf
Abigail See, Peter J. Liu and Christopher D. Manning. 2017.
Get To The Point: Summarization with Pointer-Generator Networks.
In
ACL 2017.
https://nlp.stanford.edu/pubs/see2017get.pdf
pdf
Timothy Dozat, Christopher D. Manning. 2017.
Deep Biaffine Attention for Neural Dependency Parsing.
In
ICLR 2017.
https://arxiv.org/pdf/1611.01734.pdf
pdf
Mihail Eric and Christopher D. Manning. 2017.
A Copy-Augmented Sequence-to-Sequence Architecture Gives Good Performance on Task-Oriented Dialogue.
In
Proceedings of the 15th Conference of the European Chapter of the Association for Computational Linguistics: Volume 2, Short Papers, pp. 468–473.
https://aclanthology.org/E17-2075.pdf
pdf
2016
Danqi Chen, Jason Bolton, and Christopher D. Manning. 2016. A Thorough Examination of the CNN/Daily Mail Reading Comprehension Task.
In
ACL 2016 (
Outstanding Paper Award).
https://arxiv.org/pdf/1606.02858v2.pdf
pdf
Kevin Clark and Christopher D. Manning. 2016.
Improving Coreference Resolution by Learning Entity-Level Distributed Representations.
In
Association for Computational Linguistics (ACL 2016).
http://nlp.stanford.edu/pubs/clark2016improving.pdf
pdf
Minh-Thang Luong and Christopher D. Manning. 2016.
Achieving Open Vocabulary Neural Machine Translation with Hybrid Word-Character Models.
In
Association for Computational Linguistics (ACL 2016).
http://nlp.stanford.edu/~manning/papers/P16-1100.pdf
pdf
2015
Samuel R. Bowman, Christopher Potts, and Christopher D. Manning. 2015.
Recursive Neural Networks Can Learn Logical Semantics.
Proceedings of the 3rd Workshop on Continuous Vector Space Models and their Compositionality, pp. 12–21.
https://nlp.stanford.edu/pubs/bpm_logical_semantics.pdf
pdf
Christopher D. Manning. 2015. Computational Linguistics and Deep
Learning.
Computational Linguistics 41(4): 701-707.
http://nlp.stanford.edu/~manning/papers/Manning-Last-Words-COLI_a_00239.pdf
pdf
Julia Hirschberg and Christopher D. Manning. 2015.
Advances in natural language processing.
Science 349(6):261-266.
You can get the pdf of the paper, but you need to access it directly from Julia's page,
because of AAAS's funny rules. Sorry about the extra step!
link
Spence Green, Jeffrey Heer, and Christopher D. Manning. 2015.
Natural Language Translation at the Intersection of AI and HCI.
Communications of the ACM 58(9): 46-53.
Also published in
ACM Queue 13(6).
http://nlp.stanford.edu/~manning/papers/p46-green.pdf
CACM link
ACM Queue link
CACM pdf
ACM Queue pdf
2014
Jeffrey Pennington, Richard Socher, and Christopher D. Manning. 2014. GloVe: Global Vectors for Word Representation.
Proceedings of the 2014 Conference on Empirical Methods in Natural Language Processing (EMNLP 2014), pp. 1532–1543.
https://aclanthology.org/D14-1162.pdf
pdf
Gabor Angeli and Christopher D. Manning. 2014. NaturalLI: Natural Logic Inference for Common Sense Reasoning.
Proceedings of the 2014 Conference on Empirical Methods in Natural Language Processing (EMNLP 2014), pp. 534-545.
https://www.aclweb.org/anthology/D14-1059.pdf
pdf
Angel Chang, Manolis Savva, and Christopher D. Manning. 2014.
Learning Spatial Knowledge for Text to 3D Scene Generation.
Proceedings of the 2014 Conference on Empirical Methods in Natural Language Processing (EMNLP 2014), pp. 2028–2038.
https://nlp.stanford.edu/pubs/spatial-emnlp2014.pdf
pdf
Himabindu Lakkaraju, Richard Socher, and Christopher Manning. 2014. Aspect Specific Sentiment Analysis using Hierarchical Deep Learning.
NIPS 2014 Deep Learning and Representation Learning Workshop.
http://nlp.stanford.edu/~manning/papers/lakkaraju2014sentiment.pdf
pdf
Christopher D. Manning, Mihai Surdeanu, John Bauer, Jenny Finkel, Steven
J. Bethard, and David McClosky. 2014. The Stanford CoreNLP Natural
Language Processing Toolkit.
ACL 2014 Demo Session
http://nlp.stanford.edu/~manning/papers/StanfordCoreNlp2014.pdf
pdf
Mengqiu Wang and Christopher D. Manning. 2014.
Cross-lingual Projected Expectation Regularization for Weakly Supervised
Learning.
Transactions of the Association for Computational Linguistics (TACL)
2: 55−66.
http://nlp.stanford.edu/~manning/papers/TACL2014-Wang-CLIPPER-40.pdf
pdf
Richard Socher, Andrej Karpathy, Quoc V. Le, Christopher D. Manning and
Andrew Y. Ng. 2014.
Grounded Compositional Semantics for Finding and Describing Images with Sentences.
Transactions of the Association for Computational Linguistics (TACL)
2: 207-218.
http://nlp.stanford.edu/~manning/papers/Socher2014-Grounded-Compositional-52.pdf
pdf
Marie-Catherine de Marneffe, Timothy Dozat, Natalia Silveira, Katri
Haverinen, Filip Ginter, Joakim Nivre, and Christopher D. Manning. 2014.
Universal Stanford Dependencies: A cross-linguistic typology.
Proceedings of the Ninth International Conference on Language
Resources and Evaluation (LREC-2014). A slight revision that is
fully compatible with
Universal Dependencies v.1.0 is also available.
http://nlp.stanford.edu/~manning/papers/USD_LREC14_paper_camera_ready.pdf
pdf
revised pdf
Bill MacCartney and Christopher D. Manning. 2014. Natural logic and
natural language inference. In Harry Bunt, Johan Bos, and Stephen Pulman
(eds.),
Computing Meaning, volume 4, pp. 129–147. Springer.
http://nlp.stanford.edu/~manning/papers/natlog-cm.pdf
pdf
2013
Richard Socher, Alex Perelygin, Jean Wu, Jason Chuang, Christopher D. Manning, Andrew Ng, and Christopher Potts. 2013.
Recursive Deep Models for Semantic Compositionality Over a Sentiment Treebank. In
Proceedings of the 2013 Conference on Empirical Methods in Natural Language Processing (EMNLP 203), pp. 1631–1642.
http://nlp.stanford.edu/~manning/papers/D13-1170.pdf
Paper introducting the Stanford Sentiment Treebank (SST). ACL 10-Year Test-of-Time Award.
pdf
suppl. pdf
Spence Green, Jeffrey Heer, and Christopher D. Manning. 2013. The
Efficacy of Human Post-Editing for Language Translation. In
Proceedings of the SIGCHI Conference on Human Factors in Computing
Systems (CHI 2013). pp. 439–438. Best
Paper Award.
link
Daniel A. McFarland, Daniel Ramage, Jason Chuang, Jeffrey Heer, and
Christopher D. Manning, and Daniel Jurafsky. 2013.
Differentiating Language Usage through Topic Models
Poetics 41(6): 607-625.
link
pdf
Jason Chuang, Sonal Gupta, Christopher D. Manning, and Jeffrey Heer.
2013. Topic Model Diagnostics: Assessing Domain Relevance via Topical
Alignment.
Proceedings of the International Conference on Machine Learning (ICML 2013).
http://nlp.stanford.edu/~manning/papers/2013-TopicModelDiagnostics-ICML.pdf
pdf
suppl. pdf
2012
Marie-Catherine de Marneffe, Christopher D. Manning, and Christopher Potts. 2012.
Did It Happen? The Pragmatic Complexity of Veridicality Assessment.
Computational Linguistics, 38(2):301–333.
http://nlp.stanford.edu/~manning/papers/Socher-MVRNN-D12-1110.pdf
pdf
Richard Socher, Brody Huval, Christopher D. Manning and Andrew
Y. Ng. 2012. Semantic Compositionality through Recursive Matrix-Vector Spaces.
Proceedings of the 2012 Joint Conference on Empirical Methods
in Natural Language Processing and Computational Natural
Language Learning, pp. 1201–1211.
https://aclanthology.org/J12-2003.pdf
pdf
Jason Chuang, Christopher D. Manning, and Jeffrey Heer. 2012. "Without
the clutter of unimportant words": Descriptive keyphrases for text visualization.
ACM Transactions on Computer-Human Interaction (TOCHI)
19(3), 1-29.
http://nlp.stanford.edu/~manning/papers/2012-Keyphrases-TOCHI.pdf
pdf
Mihai Surdeanu, Julie Tibshirani, Ramesh Nallapati, Christopher
D. Manning. 2012. Multi-instance Multi-label Learning for Relation
Extraction. In the
Proceedings of the 2012 Conference on Empirical Methods in
Natural Language Processing and Natural Language Learning
(EMNLP-CoNLL), pp. 455-465.
http://nlp.stanford.edu/~manning/papers/emnlp2012-mimlre.pdf.pdf
pdf
code
2011
Richard Socher, Eric H. Huang, Jeffrey Pennington, Andrew Y. Ng, and
Christopher D. Manning. 2011. Dynamic Pooling and Unfolding
Recursive Autoencoders for Paraphrase Detection.
Advances in Neural Information Processing Systems
(NeurIPS 2011).
http://nlp.stanford.edu/~manning/papers/Socher-Huang-Pennington-Ng-Manning_NIPS2011.pdf
pdf
Richard Socher, Jeffrey Pennington, Eric Huang, Andrew Y. Ng, and Christopher
D. Manning. 2011. Semi-Supervised Recursive Autoencoders for
Predicting Sentiment Distributions.
Conference on Empirical Methods in Natural
Language Processing (EMNLP 2011).
http://nlp.stanford.edu/~manning/papers/Socher-Pennington-Huang-Ng-Manning_EMNLP2011.pdf
pdf
Richard Socher, Cliff Lin, Andrew Y. Ng, and Christopher
D. Manning. 2011. Parsing Natural Scenes and Natural Language with
Recursive Neural Networks.
The 28th
International Conference on Machine Learning (ICML 2011).
Distinguished Application Paper Award.
http://nlp.stanford.edu/pubs/SocherLinNgManning_ICML2011.pdf
pdf
Richard Socher, Andrew Maas, Christopher D. Manning. 2011.
Spectral Chinese Restaurant Processes: Nonparametric Clustering
Based on Similarities.
Fourteenth
International Conference on Artificial Intelligence and Statistics
(AISTATS 2011).
http://nlp.stanford.edu/~manning/papers/Socher-Maas-Manning_AISTATS2011.pdf
pdf
Marie-Catherine de Marneffe, Christopher D. Manning, and Christopher
Potts. 2011. Veridicality and utterance understanding. In
Proceedings of the Fifth IEEE International Conference on Semantic
Computing: Workshop on Semantic Annotation for Computational Linguistic
Resources, Stanford, CA: IEEE Computer Society Press.
http://nlp.stanford.edu/pubs/icsc11.pdf
pdf
Ramesh Nallapati, Daniel McFarland and
Christopher Manning. 2011. TopicFlow model: Unsupervised learning of topic-specific influences of
hyperlinked documents. Journal of Machine Learning Research
Workshop and Conference Proceedings 15:543-551. [Artificial Intelligence
and Statistics 2011 proceedings].
Mihai Surdeanu,
Ramesh Nallapati and Christopher Manning. 2011. Risk Analysis for
Intellectual Property Litigation. International Conference on
Artificial Intelligence and Law.
Christopher D. Manning. 2011. Part-of-Speech Tagging from 97% to 100%:
Is It Time for Some Linguistics? In Alexander Gelbukh
(ed.),
Computational Linguistics and Intelligent Text Processing,
12th International Conference, CICLing 2011, Proceedings, Part I. Lecture Notes in
Computer Science 6608, pp. 171--189. Springer.
http://nlp.stanford.edu/~manning/papers/CICLing2011-manning-tagging.pdf
pdf
2010
Sharon Goldwater, Dan Jurafsky, and Christopher D. Manning. 2010. Which
words are hard to recognize? Prosodic, lexical, and disfluency factors
that increase speech recognition error rates.
Speech Communication 52:
181-200.
http://nlp.stanford.edu/~manning/papers/goldwater10.pdf
pdf
Marie-Catherine de Marneffe, Christopher D. Manning, and Christopher
Potts. 2010. "Was it good? It was provocative." Learning the meaning of
scalar adjectives. In
Proceedings of the 48th Annual Meeting of the
Association for Computational Linguistics (ACL 2010), pp. 167-176.
http://nlp.stanford.edu/pubs/scalarAdj_acl2010.pdf
pdf
Daniel Cer, Michel Galley, Daniel Jurafsky and Christopher D. Manning. 2010.
Phrasal: A Toolkit for Statistical Machine Translation with Facilities
for Extraction and Incorporation of Arbitrary Model Features.
In Proceedings of the North American Association of Computational
Linguistics Human Language Technologies 2010 (NAACL HLT 2010):
Demonstration Session, pp. 9-12.
http://www.aclweb.org/anthology/N/N10/N10-2003.pdf
pdf
2009
Sebastian Padó, Daniel Cer, Michel Galley, Dan Jurafsky, and
Christopher D. Manning. 2009.
Measuring Machine Translation Quality as Semantic Equivalence: A Metric
Based on Entailment Features.
Machine Translation 23: 181-193. DOI: 10.1007/s10590-009-9060-y.
http://dx.doi.org/10.1007/s10590-009-9060-y
Springer page
Jenny Rose Finkel and Christopher
D. Manning. 2009.
Nested Named Entity Recognition.
In
Proceedings of the 2009 Conference on Empirical Methods in Natural
Language Processing, pp. 141-150.
http://nlp.stanford.edu/~manning/papers/nested-ner.pdf
pdf
Daniel Ramage, David Hall, Ramesh Nallapati and Christopher D. Manning.
2009.
Labeled LDA: A supervised topic model for credit attribution in
multi-labeled corpora.
In
Proceedings of the 2009 Conference on Empirical Methods in Natural
Language Processing, pp. 248-256.
http://nlp.stanford.edu/~manning/papers/llda-emnlp09.pdf
pdf
Spence Green, Conal Sathi, and Christopher D. Manning. 2009. NP subject
detection in verb-initial Arabic clauses. In
Proceedings of the Third
Workshop on Computational Approaches to Arabic Script-based Languages (CAASL3).
http://nlp.stanford.edu/~manning/papers/caasl3-npsubj.pdf
pdf
Michel Galley, Spence Green, Daniel Cer, Pi-Chuan Chang, and Christopher
D. Manning. 2009. Stanford University's Arabic-to-English Statistical
Machine Translation System for the 2009 NIST Evaluation.
The 2009 NIST Open Machine Translation Evaluation Workshop.
http://nlp.stanford.edu/~manning/papers/nist09-stanford.pdf
pdf
Sebastian Padó, Michel Galley, Dan Jurafsky, and Chris Manning. 2009.
Robust Machine Translation Evaluation with Entailment Features.
In
Proceedings of the Joint Conference of the 47th Annual Meeting of
the ACL and the 4th International Joint Conference on Natural Language
Processing of the AFNLP (ACL 2009), pp. 297-305.
http://www.nlpado.de/~sebastian/pub/papers/acl09_pado.pdf
pdf
Pi-Chuan Chang, Huihsin Tseng, Dan Jurafsky, and Christopher
D. Manning. 2009. Discriminative Reordering with Chinese Grammatical
Relations Features.
Third Workshop on Syntax and Structure in
Statistical Translation, pp. 51-59.
http://nlp.stanford.edu/~manning/papers/ssst09-corrected.pdf
pdf
Sebastian Padó, Michel Galley, Dan Jurafsky, and Christopher
D. Manning. 2009. Textual Entailment Features for Machine Translation
Evaluation.
Proceedings of the Fourth Workshop on Statistical
Machine Translation, pp. 37-41.
http://nlp.stanford.edu/~manning/papers/wmt09_pado.pdf
pdf
Pi-Chuan Chang, Dan Jurafsky and Christopher D. Manning. 2009.
Disambiguating "DE" for Chinese-English Machine Translation.
In
EACL 2009 Fourth Workshop on Statistical Machine
Translation.
http://nlp.stanford.edu/~manning/papers/eacl-wmt09-de.pdf
pdf
Daniel Ramage, Paul Heymann, Christopher D. Manning, and Hector
Garcia-Molina. 2009. Clustering the Tagged Web. In
Second ACM
International Conference on Web Search and Data Mining (WSDM 2009).
http://nlp.stanford.edu/~manning/papers/cluster-wsdm09.pdf
pdf
Bill MacCartney and Christopher D. Manning. 2009.
An extended model of natural logic.
The Eighth International Conference on Computational Semantics
(IWCS-8),
Tilburg, Netherlands.
pdf
2008
Sebastian Padó, Marie-Catherine de Marneffe, Bill MacCartney,
Anna N. Rafferty, Eric Yeh, and Christopher D. Manning. 2008. Deciding Entailment and Contradiction with Stochastic
and Edit Distance-based Alignment.
Proceedings of the First Text Analysis
Conference (TAC 2008).
pdf
Bill MacCartney, Michel Galley, and Christopher D. Manning. 2008.
A phrase-based alignment model for natural language inference.
The 2008 Conference on Empirical Methods in Natural Language
Processing (EMNLP-08), pp..
pdf
Michel Galley and Christopher D. Manning. 2008.
A Simple and Effective Hierarchical Phrase Reordering Model.
The 2008 Conference on Empirical Methods in Natural Language
Processing (EMNLP-08), pp. 848-856.
pdf
Ramesh Nallapati and Christopher D. Manning. 2008. Legal Docket
Classification: Where Machine Learning Stumbles.
The 2008 Conference on Empirical Methods in Natural Language
Processing (EMNLP-08), pp. 438-446.
pdf
David Hall, Daniel Jurafsky and Christopher D. Manning. 2008. Studying the
History of Ideas Using Topic Models.
Proceedings of the 2008
Conference on Empirical Methods in Natural Language Processing,
pp. 363-371.
http://nlp.stanford.edu/~manning/papers/D08-1038.pdf
pdf
Bill MacCartney and Christopher D. Manning. 2008. Modeling semantic
containment and exclusion in natural language inference.
The 22nd International Conference on Computational Linguistics
(Coling 2008), Manchester, UK, August 2008.
[Received Springer Best Paper Award.]
pdf
Marie-Catherine de Marneffe and Christopher D. Manning. 2008.
The Stanford typed dependencies representation.
In
Proceedings of the workshop on Cross-Framework and
Cross-Domain Parser Evaluation, pp. 1-8.
http://nlp.stanford.edu/~manning/papers/dependencies-coling08.pdf
pdf
Marie-Catherine de Marneffe, Anna N. Rafferty and Christopher
D. Manning. 2008. Finding Contradictions in Text.
Proceedings of the 46th Annual Meeting of the
Association for Computational Linguistics (ACL 2008).
http://nlp.stanford.edu/~manning/papers/contradiction-acl08-revised-camera-ready.pdf
pdf
Jenny Rose Finkel, Alex Kleeman, and Christopher
D. Manning. 2008. Efficient, Feature-based, Conditional Random Field Parsing.
Proceedings of the 46th Annual Meeting of the
Association for Computational Linguistics (ACL 2008), pp. 959-967.
http://nlp.stanford.edu/~manning/papers/acl08_discpcfg_final.pdf
pdf
Sharon Goldwater, Dan Jurafsky, and Christopher D. Manning. 2008.
Which Words Are Hard to Recognize? Prosodic, Lexical, and Disfluency
Factors that Increase ASR Error Rates.
Proceedings of the 46th Annual Meeting of the
Association for Computational Linguistics (ACL 2008), pp. 380-388.
http://nlp.stanford.edu/~manning/papers/sgwater08a.pdf
pdf
Jenny Rose Finkel and Christopher
D. Manning. 2008. Enforcing Transitivity in Coreference Resolution.
Proceedings of the 46th Annual Meeting of the
Association for Computational Linguistics (ACL 2008), Short Papers,
pp. 45-48.
http://nlp.stanford.edu/~manning/papers/acl08_coref_ilp_final.pdf
pdf
Daniel Cer, Daniel Jurafsky, and Christopher D. Manning.
2008. Regularization and Search for Minimum Error Rate Training.
Proceedings of the Third Workshop on Statistical Machine
Translation, pp. 26-34.
http://nlp.stanford.edu/~manning/papers/mert_smoothing_camera.pdf
pdf
Pi-Chuan Chang, Michel Galley, and Christopher D. Manning.
2008. Optimizing Chinese Word Segmentation for Machine Translation Performance.
Proceedings of the Third Workshop on Statistical Machine
Translation, pp. 224-232.
http://nlp.stanford.edu/~manning/papers/acl08-cws-final.pdf
pdf
Christopher D. Manning, Prabhakar Raghavan and Hinrich Schütze. 2008.
Introduction to Information Retrieval.
Cambridge: Cambridge University Press.
http://www.informationretrieval.org/
pdf
CUP
web
Michel Galley, Pi-Chuan Chang, Daniel Cer, Jenny R. Finkel, and
Christopher D. Manning. 2008. NIST Open Machine Translation 2008
Evaluation: Stanford University's System Description.
Unpublished working notes of the 2008 NIST Open Machine Translation
Evaluation Workshop. March 2008.
http://nlp.stanford.edu/~manning/papers/SU_chinese_sys_desc.pdf
pdf
Kristina Toutanova, Aria Haghighi, and Christopher D. Manning. 2008. A
Global Joint Model for Semantic Role Labeling.
Computational
Linguistics 34(2): 161-191 (Special Issue on Semantic Role Labeling).
http://www.aclweb.org/anthology/J/J08/J08-2002.pdf
pdf
2007
Yun-Hsuan Sung, Constantinos Boulis, Christopher Manning and Dan
Jurafsky. 2007. Regularization, Adaptation, and Non-Independent
Features Improve Hidden Conditional Random Fields for Phone
Classification. In
IEEE Automatic Speech Recognition and Understanding Workshop.
http://nlp.stanford.edu/~manning/papers/asru2007-hcrf.pdf
ps
pdf
Bill MacCartney and Christopher D. Manning. 2007.
Natural logic for textual inference.
ACL-PASCAL Workshop on Textual Entailment and Paraphrasing, pp. 193-200.
http://nlp.stanford.edu/~manning/papers/natlog-wtep07-final.pdf
ps
pdf
Nathanael Chambers, Daniel Cer, Trond Grenager, David Hall, Chloé
Kiddon, Bill MacCartney, Marie-Catherine de Marneffe, Daniel Ramage,
Eric Yeh and Christopher D. Manning. 2007.
Learning Alignments and Leveraging Natural Logic.
ACL-PASCAL Workshop on Textual Entailment and Paraphrasing, pp. 165-170.
http://nlp.stanford.edu/~manning/papers/rte3-report.pdf
ps
pdf
Jenny Rose Finkel, Trond Grenager and Christopher D. Manning. 2007.
The Infinite Tree.
Proceedings of the 45th Annual Meeting of the
Association for Computational Linguistics (ACL 2007), pp. 272-279.
http://nlp.stanford.edu/~manning/papers/unsupdep.pdf
ps
pdf
Marie-Catherine de Marneffe, Trond Grenager, Bill MacCartney, Daniel
Cer, Daniel Ramage, Chloé Kiddon, Christopher D. Manning. 2007.
Aligning semantic graphs for textual inference and machine reading.
AAAI Spring Symposium Series: Machine Reading.
http://nlp.stanford.edu/~manning/papers/sss07.pdf
ps
pdf
2006
Gang Ji and Jeff Bilmes and Jeff Michels and Katrin Kirchhoff and Chris
Manning. 2006. Graphical Model Representations of Word Lattices.
In IEEE/ACL 2006 Workshop on Spoken Language Technology (SLT2006).
Nick Chater and Christopher D. Manning. 2006.
Probabilistic models of language processing and acquisition.
TRENDS in Cognitive Sciences, 10(7): 335-344. (Special Issue:
Probabilistic models of cognition.)
link
Trond Grenager and Christopher D. Manning. 2006.
Unsupervised Discovery of a Statistical Verb Lexicon.
2006 Conference on Empirical Methods in Natural Language Processing
(EMNLP 2006), pp. 1-8.
http://nlp.stanford.edu/~manning/papers/verblex.pdf
ps
pdf
Jenny Rose Finkel, Christopher D. Manning and Andrew
Y. Ng. 2006. Solving the Problem of Cascading Errors: Approximate
Bayesian Inference for Linguistic Annotation Pipelines.
2006 Conference on Empirical Methods in Natural Language Processing
(EMNLP 2006), pp. 618-626.
http://nlp.stanford.edu/~manning/papers/pipeline.pdf
ps
pdf
Vijay Krishnan and Christopher D. Manning. 2006.
An Effective Two-Stage Model for Exploiting Non-Local Dependencies in
Named Entity Recognition.
Proceedings of the 21st International Conference on Computational
Linguistics and 44th Annual Meeting of the Association for
Computational Linguistics, pp. 1121-1128.
http://nlp.stanford.edu/~manning/papers/Vijay-NER-2pass.pdf
ps
pdf
Bill MacCartney, Trond Grenager, Marie-Catherine de Marneffe, Daniel
Cer, and Christopher D. Manning. 2006.
Learning to recognize features of valid textual entailments.
Proceedings of the Human Language Technology Conference of the North
American Chapter of the Association for Computational Linguistics
(HLT-NAACL 2006), pp. 41-48.
http://nlp.stanford.edu/~manning/papers/rte-naacl06.pdf
ps
pdf
Marie-Catherine de Marneffe, Bill MacCartney, and
Christopher D. Manning. 2006. Generating Typed Dependency Parses from
Phrase Structure Parses.
5th International Conference on Language Resources and Evaluation
(LREC 2006), pp. 449-454.
http://nlp.stanford.edu/~manning/papers/LREC_2.pdf
ps
pdf
Marie-Catherine de Marneffe, Bill MacCartney, Trond Grenager, Daniel
Cer, Anna Rafferty and
Christopher D. Manning. 2006. Learning to distinguish valid textual
entailments.
Second PASCAL Challenges Workshop.
http://nlp.stanford.edu/~manning/papers/rte-report.pdf
ps
pdf
Christopher D. Manning. 2006. Local Textual Inference: It's hard to
circumscribe, but you know it when you see it - and NLP needs it.
MS, Stanford University.
http://nlp.stanford.edu/~manning/papers/LocalTextualInference.pdf
ps
pdf
Christopher D. Manning. 2006. Ergativity. In Keith Brown, ed.,
Encyclopedia of Language & Linguistics, Second Edition,
volume 4, pp. 210-217. Oxford: Elsevier.
2005
Aria Haghighi, Andrew Y. Ng, and Christopher D. Manning. 2005. Robust
Textual Inference via Graph Matching.
HLT-EMNLP 2005, pp. 387-394.
http://nlp.stanford.edu/~manning/papers/rte-emnlp05.pdf
ps
pdf
Huihsin Tseng, Pichuan Chang, Galen Andrew, Daniel Jurafsky, and Christopher
Manning. 2005. A Conditional Random Field Word Segmenter.
Fourth SIGHAN Workshop on Chinese Language Processing, pp. 168-171.
http://nlp.stanford.edu/~manning/papers/sighan_seg.pdf
pdf
Huihsin Tseng, Daniel Jurafsky, and Christopher Manning. 2005. Morphological
features help POS tagging of unknown words across language varieties.
Fourth SIGHAN Workshop on Chinese Language Processing, pp. 32-39.
http://nlp.stanford.edu/~manning/papers/sighan_pos.pdf
pdf
Aria Haghighi, Kristina Toutanova, and Christopher
D. Manning. 2005. A Joint Model for Semantic Role Labeling.
Ninth
Conference on Computational Natural Language Learning (CoNLL 2005),
pp. 173-176.
http://nlp.stanford.edu/~manning/papers/conll2005new.pdf
ps
pdf
Kristina Toutanova, Aria Haghighi, and Christopher
D. Manning. 2005. Joint Learning Improves Semantic Role Labeling.
Proceedings of the 43rd Annual Meeting of the Association for
Computational Linguistics (ACL 2005), pp. 589-596.
http://nlp.stanford.edu/~manning/papers/acl2005-srl.pdf
ps
pdf
Jenny Rose Finkel, Trond Grenager, and Christopher Manning. 2005.
Incorporating Non-local Information into Information Extraction
Systems by Gibbs Sampling.
Proceedings of the 43rd Annual Meeting of the Association for
Computational Linguistics (ACL 2005), pp. 363-370.
http://nlp.stanford.edu/~manning/papers/gibbscrf3.pdf
ps
pdf
Trond Grenager, Dan Klein, and Christopher
D. Manning. 2005. Unsupervised Learning of Field Segmentation Models for
Information Extraction.
Proceedings of the 43rd Annual Meeting of the Association for
Computational Linguistics (ACL 2005), pp. 371-378.
http://nlp.stanford.edu/~manning/papers/unsupie_final.pdf
ps
pdf
Rajat Raina, Andrew Y. Ng, and Christopher Manning. 2005.
Robust textual inference via learning and abductive reasoning.
AAAI 2005, pp. 1099-1105.
http://nlp.stanford.edu/~manning/papers/aaai05-learnabduction.pdf
ps
pdf
Dan Klein and Christopher D. Manning. 2005. Natural language grammar
induction with a generative constituent-context model.
Pattern Recognition 38(9): 1407-1419.
link
Rajat Raina, Aria Haghighi, Christopher Cox, Jenny Finkel, Jeff Michels,
Kristina Toutanova, Bill MacCartney, Marie-Catherine de Marneffe,
Christopher D. Manning, and Andrew Y. Ng. 2005. Robust Textual
Inference using Diverse Knowledge Sources.
First PASCAL Challenges Workshop.
http://nlp.stanford.edu/~manning/papers/rte.pdf
ps
pdf
Christopher Cox, Jamie Nicolson, Jenny Rose Finkel, Christopher Manning,
and Pat Langley. 2005. Template Sampling for Leveraging Domain
Knowledge in Information Extraction.
First PASCAL Challenges Workshop.
http://nlp.stanford.edu/~manning/papers/pascalMLIEAbstract.pdf
ps
pdf
Kristina Toutanova, Christopher D. Manning, Dan Flickinger, and
Stephan Oepen. 2005. Stochastic HPSG Parse Disambiguation
using the Redwoods Corpus.
Research on Language and
Computation, 3(1): 83-105.
link
Jenny Finkel, Shipra Dingare, Christopher Manning, Malvina Nissim,
Beatrice Alex, and Claire Grover. 2005.
Exploring the Boundaries: Gene and Protein Identification in
Biomedical Text.
BMC Bioinformatics 6 (Suppl 1).
http://nlp.stanford.edu/~manning/papers/bmc_BioInf.pdf
ps
pdf
2004
Stephan Oepen, Dan Flickinger, Kristina Toutanova, and Christopher
D. Manning. 2004. LinGO Redwoods: A Rich and Dynamic
Treebank for HPSG.
Research on Language and
Computation 2(4): 575-596.
pdf
link
Ben Taskar, Dan Klein, Michael Collins, Daphne Koller, and Christopher
Manning. 2004. Max-Margin Parsing. EMNLP 2004, pp. 1-8.
Best paper award.*
http://nlp.stanford.edu/~manning/papers/EMNLP2004-max-margin.pdf
ps
pdf
Galen Andrew, Trond Grenager, and Christopher Manning. 2004.
Verb Sense and Subcategorization: Using Joint Inference to Improve
Performance on Complementary Tasks. EMNLP 2004, pp. 150-157.
http://nlp.stanford.edu/~manning/papers/synsense.pdf
ps
pdf
Kristina Toutanova, Penka Markova, and Christopher Manning. 2004.
The Leaf Projection Path View of Parse Trees: Exploring String Kernels
for HPSG Parse Selection. EMNLP 2004, pp. 166-173.
http://nlp.stanford.edu/~manning/papers/leafpaths-emnlp2004-final.pdf
ps
pdf
Shipra Dingare, Jenny Finkel, Malvina Nissim, Christopher Manning,
and Claire Grover. 2004. A System For Identifying Named Entities in
Biomedical Text: How Results From Two Evaluations Reflect on Both the
System and the Evaluations. In The 2004 BioLink meeting: Linking
Literature, Information and Knowledge for Biology at ISMB 2004.
Republished as Shipra Dingare, Malvina Nissim, Jenny Finkel,
Christopher Manning, and Claire Grover. 2005.
Comparative and
Functional Genomics 6: 77-85.
http://nlp.stanford.edu/~manning/papers/ismb2004.pdf
ps
pdf
Jenny Finkel, Shipra Dingare, Huy Nguyen, Malvina Nissim, Christopher
Manning, and Gail Sinclair. 2004. Exploiting Context for Biomedical
Entity Recognition: From Syntax to the Web. Joint Workshop on Natural
Language Processing in Biomedicine and its Applications (NPBA/BioNLP
2004) at Coling 2004.
http://nlp.stanford.edu/~manning/papers/bionlp-camera.pdf
ps
pdf
Dan Klein and Christopher D. Manning. 2004. Corpus-Based Induction of
Syntactic Structure: Models of Dependency and Constituency.
Proceedings of the 42nd Annual Meeting of the Association for
Computational Linguistics (ACL 2004), pp. 479-486.
http://nlp.stanford.edu/~manning/papers/factored-induction-camera.pdf
ps
pdf
Roger Levy and Christopher D. Manning. 2004. Deep dependencies from
context-free statistical parsers: correcting the surface dependency
approximation.
Proceedings of the 42nd Annual Meeting of the
Association for Computational Linguistics (ACL 2004), pp. 328-335.
http://nlp.stanford.edu/~manning/papers/levy-manning-acl04-twocol.pdf
ps
pdf
Philip Beineke, Trevor Hastie, Christopher Manning, and Shivakumar
Vaithyanathan. 2004. Exploring Sentiment Summarization. In
Yan Qu, James Shanahan, and Janyce Wiebe (eds.),
Exploring Attitude
and Affect in Text: Theories and Applications. AAAI Spring Symposium
Technical Report SS-04-07, pp. 12-15.
pdf
Satoshi Oyama and Christopher D. Manning. 2004. Using Feature Conjunctions
Across Examples for Learning Pairwise Classifiers. in
European
Conference on Machine Learning 2004, pp. 322-333.
pdf
Iddo Lev, Bill MacCartney, Christopher D. Manning, and Roger Levy. 2004.
Solving Logic Puzzles: From Robust Processing to Precise Semantics.
2nd Workshop on Text Meaning and Interpretation at ACL 2004, pp. 9-16.
http://nlp.stanford.edu/~manning/papers/robust_precise_acl04.pdf
ps
pdf
Dan Klein and Christopher D. Manning. 2004. Parsing and Hypergraphs.
In Harry Bunt, John Carroll and Giorgio Satta (eds), New Developments
in Parsing Technology. Dordrecht: Kluwer Academic Publishers, pp. 351-372.
Kristina Toutanova, Christopher D. Manning, and Andrew Y. Ng. 2004.
Learning Random Walk Models for Inducing Word Dependency Distributions.
Proceedings of the 21st International Conference on Machine Learning
(ICML 2004), pp. 815-822.
http://nlp.stanford.edu/~manning/papers/ICML2004-ppwalks.pdf
ps
pdf
Miriam Corris, Christopher Manning, Susan Poetsch, and Jane
Simpson. 2004. How useful and usable are dictionaries for speakers of
Australian Indigenous languages?
International Journal of
Lexicography 17:33-68.
journal pdf
Shipra Dingare, Jenny Finkel, Christopher Manning, Malvina Nissim,
and Beatrice Alex. 2004. Exploring the Boundaries: Gene and
Protein Identification in Biomedical Text.
Proceedings of the BioCreative Workshop, Granada.
http://nlp.stanford.edu/~manning/papers/BioCreativeTask1A.pdf
pdf
Dan Klein and Christopher D. Manning. 2004. Corpus-Based Induction
of Syntactic Structure: Models of Constituency and
Dependency. In Paul Cohen, Andy Clark, Eduard Hovy, Tim
Oates, and Michael Witbrock, eds.,
Language Learning: An
Interdisciplinary Perspective. 2004 AAAI Spring Symposium.
Technical Report SS-04-05, pp. 32-38. ISBN 1-57735-197-5.
See ACL 2004 paper for a revised longer version.
Ofer Dekel, Christopher D. Manning, Yoram Singer. 2004. Log-Linear
Models for Label Ranking. In Sebastian Thrun, Lawrence K. Saul, and
Bernhard Schölkopf (eds),
Advances in Neural Information Processing
Systems 16 (NeurIPS 2003). Cambridge, MA: MIT Press, pp. 497-504.
http://nlp.stanford.edu/~manning/papers/NIPS2003-ranking.pdf
ps
pdf
2003
Kristina Toutanova, Mark Mitchell and Christopher
Manning. 2003. Optimizing Local Probability Models for Statistical
Parsing. In
Proceedings of 14th European Conference on Machine
Learning (ECML 2003), pp. 409-420.
http://nlp.stanford.edu/~manning/papers/regression.pdf
ps
pdf
Cynthia A. Thompson, Roger Levy, and Christopher D. Manning. 2003.
A Generative Model for Semantic Role Labeling.
ECML 2003,
pp. 397-408.
http://nlp.stanford.edu/~manning/papers/fnet-ecml.pdf
ps
pdf
Cynthia A. Thompson and Joseph Smarr and Huy Nguyen and Christopher
Manning. 2003. Finding Educational Resources on the Web: Exploiting Automatic
Extraction of Metadata. In
ECML Workshop on Adaptive Text Extraction and Mining, Croatia,
2003.
ps
pdf
Kristina Toutanova, Christopher D. Manning, Stephan Oepen, and Dan
Flickinger. 2003. Parse Selection on the Redwoods Corpus: 3rd Growth
Results. Technical report dbpubs 2003-64, Stanford University.
ps
pdf
Dan Klein and Christopher D. Manning. 2003. Accurate
Unlexicalized Parsing.
ACL 2003, pp. 423-430.
http://nlp.stanford.edu/~manning/papers/unlexicalized-parsing.pdf
ps
pdf
Roger Levy and Christopher D. Manning. 2003. Is it harder to parse
Chinese, or the Chinese Treebank?
ACL 2003, pp. 439-446.
http://nlp.stanford.edu/~manning/papers/acl2003-chinese.pdf
ps
pdf
Dan Klein and Christopher D. Manning. 2003. Factored A* Search for
Models over Sequences and Trees.
IJCAI 2003, pp. 1246-1251.
http://nlp.stanford.edu/~manning/papers/factored-astar.pdf
ps
pdf
Sepandar D. Kamvar, Dan Klein, and Christopher D. Manning. 2003.
Spectral Learning.
IJCAI 2003, pp. 561-566.
http://nlp.stanford.edu/~manning/papers/spectral.pdf
ps
pdf
Dan Klein, Joseph Smarr, Huy Nguyen, and Christopher D. Manning. 2003.
Named Entity Recognition with Character-Level Models.
Proceedings
the Seventh Conference on Natural Language Learning, pp. 180-183.
http://nlp.stanford.edu/~manning/papers/conll-ner.pdf
ps
pdf
Christopher D. Manning. 2003. Probabilistic Syntax.
In Rens Bod, Jennifer Hay, and Stefanie Jannedy (eds),
Probabilistic
Linguistics, pp. 289-341. Cambridge, MA: MIT Press.
The version here is from 12 Jan 2002; it doesn't
reflect final revisions, corrections, and copyediting that appear in the
published version.
ps
pdf
Kristina Toutanova, Dan Klein, Christopher D. Manning, and Yoram
Singer. 2003. Feature-Rich Part-of-Speech Tagging with a Cyclic
Dependency Network.
HLT-NAACL 2003.
http://nlp.stanford.edu/~manning/papers/tagging.pdf
ps
pdf
Dan Klein and Christopher D. Manning. 2003. A* Parsing: Fast Exact
Viterbi Parse Selection.
HLT-NAACL 2003.
http://nlp.stanford.edu/~manning/papers/pcfg-astar.pdf
ps
pdf
Taher Haveliwala, Sepandar Kamvar, Dan Klein, Chris Manning, and
Gene Golub. 2003.
Computing PageRank using Power Extrapolation.
Stanford University Technical Report dbpubs/2003-45.
http://nlp.stanford.edu/~manning/papers/PowerExtrapolation.pdf
ps
pdf
Sepandar D. Kamvar, Taher H. Haveliwala, Christopher D. Manning, and
Gene H. Golub. 2003.
Exploiting the Block Structure of theWeb for Computing
PageRank. Stanford University
Technical Report dbpubs/2003-17.
http://nlp.stanford.edu/~manning/papers/BlockRank.pdf
ps
pdf
Sepandar D. Kamvar, Taher H. Haveliwala,
Christopher D. Manning, and Gene H. Golub. 2003. Extrapolation Methods for
Accelerating PageRank Computations.
WWW 2003, pp. 261-270.
http://nlp.stanford.edu/~manning/papers/extrapolation.pdf
ps
pdf
Dan Klein and Christopher D. Manning. 2003. Fast Exact Inference with a
Factored Model for Natural Language Parsing. In Suzanna Becker, Sebastian
Thrun, and Klaus Obermayer (eds),
Advances in Neural Information
Processing Systems 15 (NeurIPS 2002). Cambridge, MA: MIT Press, pp. 3-10.
http://nlp.stanford.edu/~manning/papers/lex-parser.pdf
ps
pdf
Christopher D. Manning. 2003. Statistical approaches to
natural language processing. In Lynn Nadel (ed.) Encyclopedia of
Cognitive Science. London: Nature Publishing Group.
2002
Kristina Toutanova, Christopher D. Manning, Stuart M. Shieber, Dan
Flickinger, and Stephan Oepen. 2002.
Parse Disambiguation for
a Rich HPSG Grammar.
First Workshop on Treebanks and Linguistic
Theories (TLT2002), pp. 253-263. Sozopol, Bulgaria.
ps
pdf
Stephan Oepen, Dan Flickinger, Kristina Toutanova, and
Christopher D. Manning. 2002. LinGO Redwoods. A Rich and Dynamic Treebank
for HPSG.
First Workshop on Treebanks and Linguistic Theories (TLT2002),
pp. 139-149. Sozopol, Bulgaria.
ps
pdf
Stephan Oepen, Kristina Toutanova, Stuart Shieber, Christopher Manning,
Dan Flickinger, and Thorsten Brants. 2002. The LinGO Redwoods Treebank:
Motivation and Preliminary Applications.
Proceedings of the 17th
International Conference on Computational Linguistics (COLING 2002),
pp. 1253-1257.
http://nlp.stanford.edu/~manning/papers/Coling2002.pdf
ps
pdf
Kristina Toutanova and Christopher D. Manning. 2002.
Feature Selection for a Rich HPSG Grammar Using
Decision Trees.
Proceedings of the Sixth Conference on Natural Language Learning
(CoNLL-2002). Taipei, Taiwan.
http://nlp.stanford.edu/~manning/papers/conll02-35.pdf
ps
pdf
Dan Klein and Christopher D. Manning. 2002. Conditional Structure versus
Conditional Estimation in NLP Models.
2002 Conference on Empirical
Methods in Natural Language Processing (EMNLP 2002), pp. 9-16.
http://nlp.stanford.edu/~manning/papers/objective-functions.pdf
ps
pdf
Kristina Toutanova, H. Tolga Ilhan, and Christopher
D. Manning. 2002. Extensions to HMM-based Statistical Word Alignment
Models.
2002 Conference on Empirical
Methods in Natural Language Processing (EMNLP 2002), pp. 87-94.
http://nlp.stanford.edu/~manning/papers/hmmalign.pdf
pdf
Dan Klein and Christopher D. Manning. 2002. A Generative Constituent-Context
Model for Improved Grammar Induction.
Proceedings of the 40th
Annual Meeting of the Association for Computational Linguistics,
pp. 128-135.
http://nlp.stanford.edu/~manning/papers/KleinManningACL2002.pdf
ps
pdf
Dan Klein, Kristina Toutanova, H. Tolga Ilhan, Sepandar D. Kamvar,
and Christopher D. Manning. 2002. Combining Heterogeneous
Classifiers for Word-Sense Disambiguation.
In
Workshop on Word Sense Disambiguation: Recent Successes
and Future Directions at ACL 40, pp. 74-80.
ps
pdf
Sepandar D. Kamvar, Dan Klein, and Christopher D. Manning. 2002.
Interpreting and Extending Classical Agglomerative Clustering Algorithms
using a Model-Based Approach.
Proceedings of the 19th International
Conference on Machine Learning, pp. 283-290.
ps
Dan Klein, Sepandar D. Kamvar, and Christopher D. Manning. 2002.
From Instance-level Constraints to Space-level Constraints: Making the
Most of Prior Knowledge in Data Clustering.
Proceedings of the 19th
International Conference on Machine Learning, pp. 307-314.
ps
Stephan Oepen, Ezra Callahan, Dan Flickinger, Christopher D. Manning,
and Kristina Toutanova. 2002.
LinGO Redwoods: A Rich and Dynamic Treebank
for HPSG.
Beyond PARSEVAL: Towards Improved Evaluation Measures for Parsing Systems workshop at the Third International
Conference on Language Resources and Evaluation (LREC 2002)
Las Palmas, Spain, pp. 17–22..
ps
pdf
Miriam Corris, Christopher Manning, Susan Poetsch and Jane Simpson. 2002.
Dictionaries and Endangered Languages. In David Bradley and Maya
Bradley (eds), Language Endangerment and Language
Maintenance. London: RoutledgeCurzon, pp. 329-347.
Christopher Manning. 2002. Review of Rens Bod, Beyond Grammar: An
Experience-based Theory of Language. Journal of
Linguistics 38(2): 441-442.
Dan Klein and Christopher D. Manning. 2002.
A* Parsing: Fast Exact Viterbi Parse Selection. Stanford University
Technical Report dbpubs/2002-16.
Superseded by Klein and Manning
HLT-NAACL 2003.
ps
Dan Klein and Christopher D. Manning. 2002.
Natural Language Grammar Induction using
a Constituent-Context Model. In Thomas
G. Dietterich, Suzanna Becker, and Zoubin Ghahramani (eds),
Advances in Neural Information Processing Systems 14 (NeurIPS 2001).
Cambridge, MA: MIT Press, vol. 1, pp. 35-42.
http://nlp.stanford.edu/~manning/papers/nips-gi-camera-mt.pdf
ps
pdf
2001
Dan Klein and Christopher D. Manning. 2001. Parsing and Hypergraphs.
Proceedings of the 7th International Workshop on Parsing Technologies
(IWPT-2001), pp. 123-134.
http://nlp.stanford.edu/~manning/papers/klein_and_manning-parsing_and_hypergraphs-IWPT_2001.pdf
ps
pdf
H. Tolga Ilhan, Sepandar D. Kamvar, Dan Klein,
Christopher D. Manning, Kristina Toutanova. 2001.
Combining Heterogeneous Classifiers for Word-Sense Disambiguation.
Proceedings of SENSEVAL-2, the Second
International Workshop on Evaluating Word Sense Disambiguation Systems,
pp. 87-90.
http://nlp.stanford.edu/~manning/papers/wsd-short.pdf
ps
pdf
Joan Bresnan, Shipra Dingare, and Christopher D. Manning. 2001.
Soft Constraints Mirror Hard Constraints: Voice and Person in English
and Lummi.
Proceedings
of the LFG01 Conference, pp. 13-32, Hong Kong.
http://nlp.stanford.edu/~manning/papers/lfg01bresnanetal.pdf
ps
pdf
Dan Klein and Christopher D. Manning. 2001. Distributional Phrase
Structure Induction.
Proceedings of the Fifth Conference on
Natural Language Learning (CoNLL-2001), pp. 113-120.
http://nlp.stanford.edu/~manning/papers/klein_and_manning-distributional_phrase_structure_induction-CoNLL_2001.pdf
ps
pdf
Dan Klein and Christopher D. Manning. 2001.
Parsing with Treebank Grammars:
Empirical Bounds, Theoretical Models, and the Structure of the
Penn Treebank.
Proceedings of the 39th Annual Meeting of the
ACL, pp. 330-337.
http://nlp.stanford.edu/~manning/papers/klein_and_manning-exhaustive_parsing-ACL_2001.pdf
ps
pdf
Christopher Manning and Kristen Parton. 2001.
What's needed for lexical
databases? Experiences with Kirrkirr. In
Proceedings of the IRCS
Workshop on Linguistic Databases, pp. 167-173.
University of Pennsylvania, Philadelphia.
http://nlp.stanford.edu/~manning/papers/KK-IRCS-2001.pdf
ps
pdf
Christopher D. Manning, Kevin Jansz, and Nitin Indurkhya. 2001
Kirrkirr: Software for browsing and visual exploration of a structured
Warlpiri dictionary.
Literary and Linguistic Computing, 16(2):
135-151.
link
Dan Klein and Christopher D. Manning. 2001.
An
O(
n3) Agenda-Based Chart
Parser for Arbitrary Probabilistic Context-Free Grammars.
Stanford Technical Report dbpubs/2001-16.
ps
pdf
2000
Kristina Toutanova and Christopher D. Manning. 2000.
Enriching the
Knowledge Sources Used in a Maximum Entropy Part-of-Speech Tagger.
Proceedings of the Joint SIGDAT Conference on
Empirical Methods in Natural Language Processing and
Very Large Corpora (EMNLP/VLC-2000), pp. 63-70. Hong Kong.
http://nlp.stanford.edu/~manning/papers/emnlp2000.pdf
ps
pdf
Christopher D. Manning and Bob Carpenter. 2000.
Probabilistic Parsing Using Left Corner Language Models.
In Harry Bunt and Anton Nijholt (eds), Advances in Probabilistic and
Other Parsing Technologies. Kluwer Academic Publishers,
pp. 105-124.
Christopher D. Manning, Kevin Jansz, and Nitin Indurkhya.
Kirrkirr: Software for browsing and visual exploration of a structured
Warlpiri dictionary. Paper presented at ALLC/ACH 2000.
Revised version appears
in
Literary and Linguistic Computing, 16(1): 123-139, 2001.
doc
Miriam Corris, Christopher Manning, Susan Poetsch, and Jane Simpson. 2000.
Bilingual Dictionaries for Australian Languages: User studies on the
place of paper and electronic dictionaries. Proceedings of the Ninth
Euralex International Congress (Euralex 2000), Stuttgart, pp. 169-181.
ps
pdf
Kevin Jansz, Wee Jim Sng, Nitin Indurkhya and Christopher Manning. 2000.
Using XSL And XQL For Efficient Customised Access To Dictionary
Information.
Proceedings of AusWeb 2000, the
Sixth Australian World Wide Web Conference, pp. 167-181.
link
Strasberg HR, Manning CD, Rindfleisch TC, Melmon KL. 2000.
What's related? Generalizing approaches to related articles in medicine.
Proceedings AMIA Fall Symposium 2000: 838-42.
pdf
1999
Christopher D. Manning and Ivan A. Sag. 1999.
Dissociations between Argument Structure and
Grammatical Relations. In Webelhuth, Gert,
Jean-Pierre Koenig and Andreas Kathol (eds.),
Lexical And
Constructional Aspects of Linguistic Explanation, CSLI Publications,
pp. 63-78.
http://nlp.stanford.edu/~manning/papers/tuebingen97.pdf
ps
pdf
Christopher D. Manning and Hinrich Schütze. 1999.
Foundations of
Statistical Natural Language
Processing. Cambridge, MA: MIT Press.
web
Avery D. Andrews and Christopher D. Manning. 1999.
Complex Predicates and Information Spreading in LFG. Stanford,
CA: CSLI Publications.
web
Kevin Jansz, Christopher D. Manning, and Nitin Indurkhya. 1999.
Kirrkirr: Interactive Visualisation And Multimedia From A
Structured Warlpiri Dictionary.
Proceedings of AusWeb99, the Fifth Australian World Wide Web Conference,
pp. 302-316.
link
Christopher D. Manning, Ivan A. Sag and Masayo Iida. 1999.
The Lexical Integrity of Japanese Causatives.
In Robert D. Levine and Georgia M. Green (eds), 1999,
Studies in
Contemporary Phrase Structure Grammar, Cambridge: Cambridge
University Press, pp. 39-79.
ps
pdf
Miriam Corris, Christopher Manning, Susan Poetsch and Jane Simpson. 1999.
Dictionaries and endangered languages. Paper
presented at the Endangered Languages Workshop, La Trobe
University, 30 November 1999. (Earlier version presented at the
1999 Perth Congress of the Applied Linguistics Association of
Australia.) Published version above, under 2002.
ps
rtf
1998
Christopher D. Manning and Ivan A. Sag. 1998. Argument Structure,
Valence, and Binding. Nordic Journal of Linguistics
21(2): 107-144.
I Wayan Arka and Christopher Manning. 1998.
Voice and grammatical relations in
Indonesian: A new perspective. Proceedings of the
1998 International Lexical Functional Grammar conference.
(Perhaps) To appear in Peter K. Austin & Simon Musgrave (eds),
Voice
and Grammatical Functions in Austronesian, CSLI Publications.
pdf
ps
html
Christopher Manning. 1998.
Rethinking text segmentation models: An information extraction case study.
Technical report SULTRY-98-07-01, University of Sydney.
ps
1997
Christopher D. Manning and Bob Carpenter. 1997. Probabilistic Parsing
Using Left Corner Language Models. Proceedings of the Fifth
International Workshop on Parsing Technologies (IWPT-97), MIT,
pp. 147-158.
ps
Christopher D. Manning. 1997. Grammatical Relations versus Binding: On
the Distinctness of Argument Structure. In F. Corblin, D. Godard, and
J.-M. Marandin (eds), Empirical Issues in Formal Syntax and
Semantics, pp. 79-102. Bern: Peter Lang ISBN 3-906757-73-0.
Christopher D. Manning. Review of David Pesetsky. Zero Syntax:
Experiencers and Cascades. Language 73: 608-611.
1996
Christopher D. Manning. 1996.
Ergativity: Argument Structure and
Grammatical Relations. Stanford, CA: CSLI Publications/Cambridge
University Press Dissertations in Linguistics series.
ISBN: 1575860368 (pbk), 1575860376 (hbk).
Amazon
Christopher D. Manning. 1996. Argument
structure as a locus for binding theory. Proceedings of LFG-96, the
First International LFG Colloquium and Workshops. Grenoble, France.
ps
Christopher D. Manning. 1996. Romance Complex Predicates: In defence of
the right-branching structure. Paper presented at the
Workshop on Surface-Based Syntax and Romance Languages, 1996 European
Summer School on Logic, Language, and Information, Prague.
ps
pdf
John T. Maxwell III and Christopher D. Manning. 1996. A Theory of
Non-constituent Coordination based on Finite State Rules. In
Proceedings
of the First LFG Conference, Grenoble, France. Also presented at the
Symposium on coordination, 1996 European Summer School on Logic,
Language, and Information, Prague.
ps
1995
Christopher D. Manning. 1995. Ergativity:
Argument Structure and Grammatical Relations. Paper presented at
the 69th annual meeting of the Linguistic Society of America, New Orleans.
http://nlp.stanford.edu/~manning/papers/lsa95.ps
ps
Christopher D. Manning and Ivan A. Sag. 1995. Dissociations between
Argument Structure and Grammatical Relations. Paper presented at the
Tübingen HPSG workshop.
A much revised version of part of
this paper appears under 1998. However, a lot of other material is
touched on in this version.
http://nlp.stanford.edu/~manning/papers/tuebingen.pdf
ps
pdf
hnd-ps
Christopher D. Manning. 1995. Valency versus binding: On the
distinctness of argument structure. Paper presented at the
Colloque de Syntaxe et Sémantique de Paris.
http://nlp.stanford.edu/~manning/papers/paris-erg.ps
ps
Christopher D. Manning. 1995. Dissociating functor-argument structure
from surface phrase structure: the relationship of HPSG Order Domains to
LFG. Ms., Carnegie Mellon University.
http://nlp.stanford.edu/~manning/papers/hpsglfg1.pdf
ps
pdf
1994
Masayo Iida, Christopher D. Manning, Patrick O'Neill and Ivan A. Sag. 1994.
The lexical integrity of Japanese causatives. Paper presented at the
68th annual meeting of the Linguistic Society of America, Boston.
Ms., Stanford University, Stanford CA.
A revised version was published in
1999, but this version is still useful as a short informal presentation
of the data and argument.
http://nlp.stanford.edu/~manning/papers/jcaus-lsa.ps
ps
Christopher D. Manning. 1994.
Ergativity: Argument Structure and
Grammatical Relations, PhD Thesis, Stanford.
Revised version published by
CSLI Publications is under 1996, above.
https://nlp.stanford.edu/~manning/dissertations/Manning-Christopher-ergativity-1994.pdf
pdf
1993
A. D. Andrews and Christopher D. Manning. 1993. Information Spreading
and Levels of Representation in LFG. CSLI Technical Report CSLI-93-176,
Stanford University, Stanford CA.
http://nlp.stanford.edu/~manning/papers/proj.ps
ps
pdf
Christopher D. Manning. 1993. Automatic acquisition of a large
subcategorization dictionary from corpora.
Proceedings of the 31st
ACL, pp. 235-242.
http://nlp.stanford.edu/~manning/papers/subcats.pdf
ps
pdf
Christopher D. Manning. 1993. Analyzing the verbal noun: Internal and
external constraints. In Soonja Choi (ed),
Japanese/Korean Linguistics
3, Stanford, CA: Stanford Linguistics Association, pp. 236-253.
http://nlp.stanford.edu/~manning/papers/verbnoun.ps
ps
1992
Christopher D. Manning. 1992. Romance is so complex.
Technical Report CSLI-92-168, Stanford University, Stanford CA.
http://nlp.stanford.edu/~manning/papers/romance.pdf
ps
pdf
Christopher D. Manning. 1992. Presents embedded under pasts.
ms., Stanford University.
http://nlp.stanford.edu/~manning/papers/tense.pdf
ps
pdf
1991
Christopher D. Manning. 1991. LFG within King's descriptive formalism.
ms. Stanford University, Stanford CA.
http://nlp.stanford.edu/~manning/papers/mathling.pdf
ps
pdf
Christopher D. Manning. 1991. Lexical Conceptual Structure and
Marathi. ms. Stanford University, Stanford CA.
http://nlp.stanford.edu/~manning/papers/marathi.pdf
ps
pdf
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http://nlp.stanford.edu/~manning/papers/
Christopher Manning
<manning@cs.stanford.edu> -
27 Nov 2024