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bigbosskai/nlpstudy

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细粒度情感分析

  1. Attention-based LSTM for Aspect-level Sentiment Classification(emnlp2016)
  2. Effective LSTMs for Target-Dependent Sentiment Classfifcation(COLING 2016)
  3. Recurrent Attention Network on Memory for Aspect Sentiment Analysis(emnlp2017)
  4. Learning to Attend via Word-Aspect Associative Fusion for Aspect-Based Sentiment Analysis
  5. IARM: Inter-Aspect Relation Modeling with Memory Networks in Aspect-Based Sentiment Analysis(emnlp2018
  6. An Interactive Multi-Task Learning Network for End-to-End Aspect-Based Sentiment Analysis(acl2019)
  7. Semantic Compositionality through Recursive Matrix-Vector Spaces
  8. Hierarchical Attention Based Position-aware Network for Aspect-level Sentiment Analysis(CoNLL2018)
  9. Parameterized Convolutional Neural Networks for Aspect Level Sentiment Classification(emnlp2018)
  10. Self-Attention: A Better Building Block for Sentiment Analysis Neural Network Classifiers(acl2018)
  11. Progressive Self-Supervised Attention Learning for Aspect-Level Sentiment Analysis(acl2019)
  12. Adaptive Recursice Neural Network for Target-dependent Twitter Sentiment Classification(acl2014)
  13. Aspect Level Sentiment Classification with Deep Memory Network(emnlp2016)
  14. Interactive Attention Networks for Aspect-Level Sentiment Classfification(ijcai2017)
  15. Aspect Based Sentiment Analysis with Gated Convolutional Networks(acl2018)
  16. Refining Word Embeddings for Sentiment Analysis(emnlp2017)
  17. Improved Semantic Representations From Tree-Structured Long Short-Term Memory Networks
  18. 结合自注意力机制和Tree-LSTM的情感分析模型
  19. 基于混合多头注意力和胶囊网络的特定目标情感分析
  20. Syntax-Aware Aspect Level Sentiment Classification with Graph Attention Networks

句法分析

  1. Viable Dependency Parsing as Sequence Labeling(naacl2019)
  2. Sequence Labeling Parsing by Learning Across Representation(acl2019)
  3. Efficient Third-order Dependency Parsers(acl2010)
  4. Dependency-Based Word Embeddings(acl2014)
  5. Joint Optimization for Chinese POS Tagging and Dependency Parsing( IEEE/ACM TRANSACTIONS ON AUDIO, SPEECH, AND LANGUAGE PROCESSING 2014)
  6. Online Learning of Approximate Dependency Parsing Algorithms
  7. Online Large-Margin Training of Dependency Parsers
  8. Efficient Second-Order TreeCRF for Neural Dependency Parsing
  9. Neural Joint Model for Transition-based Chinese Syntactic Analysis
  10. A Graph-based Model for Joint Chinese Word Segmentation and Dependency Parsing
  11. Graph-based Dependency Parsing with Bidirectional LSTM
  12. Second-Order Semantic Dependency Parsing with End-to-End Neural Networks(2019acl)
  13. DEEP BIAFFINE ATTENTION FOR NEURAL DEPENDENCY PARSING(ICLR2017)
  14. A Fast and Accurate Dependency Parser using Neural Networks
  15. A Top-down Model for Character-level Chinese Dependency Parsing
  16. Adaptation of Multilingual Transformer Encoder forRobust Enhanced Universal Dependency Parsing(acl2020)
  17. Stack-Pointer Networks for Dependency Parsing
  18. Graph-based Dependency Parsing with Graph Neural Networks
  19. Self-attentive Biaffine Dependency Parsing
  20. A Simple and Effective Dependency parser for Telugu
  21. 基于多特征融合编码的神经网络依存句法分析模型名童师兄转移句法发的中文信息学报
  22. coling2018seq2seq dependency parsing用生成的方法做依存句法
  23. A Fast Unified Model for Parsing and Sentence Understanding基于转移的句法和文本分类一起做
  24. 2020aaai parsing as pretraining垃圾论文
  25. 2019aclGraph-based Dependency Parsing with Graph Neural Networks垃圾论文
  26. 2019ijcaiSelf-attentive Biaffine Dependency ParsingLSTM换成selfattention都能发ijcai???

如何使用句法

  1. Joint Chinese Word Segmentation and Part-of-speech Tagging via Two-way Attentions of Auto-analyzed Knowledge(acl2020)
  2. Syntax-Aware Aspect Level Sentiment Classification with Graph Attention Networks
  3. emnlp2011-Semantic Compositionality through Recursive Matrix-Vector Spaces1在树上合并词的语义
  4. 2019emnlp Improving Language Generation from Feature-Rich Tree-Structured Data with Relational Graph Convolutional Encoders整个树做时间序列
  5. 2019emnlpBacteria Biotope Relation Extraction via Lexical Chains and Dependency Graphs把树当成图,然后用图神经网络

句子匹配(复述识别,自然语言推理,QA)

  1. Original Semantics-Oriented Attention and Deep Fusion Network for Sentence Matching(emnlp2019)
  2. Neural Graph Matching Networks for Chinese Short Text Matching
  3. Syntax-Aware Attention for Natural Language Inference with Phrase-Level Matching
  4. Natural Language Inference by Tree-Based Convolution and Heuristic Matching
  5. Syntax-Aware Attention for Natural Language Inference with Phrase-Level Matching名童师兄用短语结构树和TreeLSTM做句对分类
  6. 2016acl-Natural Language Inference by Tree-Based Convolution and Heuristic MatchingTreeCNN做句对分类
  7. Neural Tree Indexers for Text Understanding树与树之间做交叉注意力
  8. Attention-Fused Deep Matching Network for Natural Language Inference匹配多次
  9. 2017acl-ESIM模型-Enhanced LSTM for Natural Language Inference经典论文交叉注意力

预训练语言模型

  1. ERNIE 2.0: A Continual Pre-Training Framework for Language Understanding

其他

  1. Attention Is All You Need
  2. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
  3. FLAT: Chinese NER Using Flat-Lattice Transformer(acl2020)
  4. Design Challenges and Misconceptions in Neural Sequence Labeling
  5. Attentive Pooling with Learnable Norms for Text Representation
  6. Neural Architectures for Named Entity Recognition
  7. State-of-the-art Chinese Word Segmentation with Bi-LSTMs
  8. Convolutional Neural Networks for Sentence Classification
  9. Attention-Based Bidirectional Long Short-Term Memory Networks for Relation Classification
  10. Effective Approaches to Attention-based Neural Machine Translation
  11. A Study of Reinforcement Learning for Neural Machine Translation
  12. Neural Machine Translation by Jointly Learning to Align and Translate
  13. 2019emnlpText Level Graph Neural Network for Text Classification
  14. Multi-Task Learning Using Uncertainty to Weigh Losses for Scene Geometry and Semantics
  15. Design Challenges and Misconceptions in Neural Sequence Labeling
  16. Attentive Pooling with Learnable Norms for Text Representation
  17. Gradient Normalization for Adaptive Loss Balancing in Deep Multitask Networks
  18. State-of-the-art Chinese Word Segmentation with Bi-LSTMs
  19. Neural Architectures for Named Entity RecognitionLSTM-CRF做实体抽取
  20. LCQMC A Large-scale Chinese Question Matching Corpus(1)LCQMC数据集论文
  21. 2014emnlpConvolutional Neural Networks for Sentence ClassificationCNN文本分类经典论文
  22. 2016aclAttention-Based Bidirectional Long Short-Term Memory Networks for Relation Classification关系抽取金典论文
  23. 基于LSTM-Attention的中文新闻文本分类
  24. Effective Approaches to Attention-based Neural Machine Translationseq2seq机器翻译金典论文
  25. A Study of Reinforcement Learning for Neural Machine Translation强化学习做机器翻译
  26. 2016SEQUENCE LEVEL TRAINING WITH RECURRENT NEURAL NETWORKS机器翻译训练的测试不匹配加上随机方法
  27. iclr2015Neural Machine Translation by Jointly Learning to Align and Translate经典论文seq2seq机器翻译
  28. Multi-Task Deep Neural Networks for Natural Language Understanding如何训练多个任务,这些任务后前后关系
  29. 2017-Multi-Task Learning Using Uncertainty to Weigh Losses for Scene Geometry and Semantics不知道好还是坏
  30. 2019aaaiGraph Convolutional Networks for Text Classification句子当成节点单词也当成节点

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