Natural Language Processing Best Practices & Examples
an ambient intelligence library
PhoBERT: Pre-trained language models for Vietnamese (EMNLP-2020 Findings)
텐서플로2와 머신러닝으로 시작하는 자연어처리 (로지스틱회귀부터 BERT와 GPT3까지) 실습자료
A Natural Language Inference (NLI) model based on Transformers (BERT and ALBERT)
Tableau-based Theorem Prover for Natural Logic and Language
GTS Engine: A powerful NLU Training System。GTS引擎(GTS-Engine)是一款开箱即用且性能强大的自然语言理解引擎,聚焦于小样本任务,能够仅用小样本就能自动化生产NLP模型。
Open source library for few shot NLP
VerifAI initiative to build open-source easy-to-deploy generative question-answering engine that can reference and verify answers for correctness (using posteriori model)
Open-source benchmark datasets and pretrained transformer models in the Filipino language.
Topic Inference with Zeroshot models
Natural Language Attacks in a Hard Label Black Box Setting.
Implementation of the NLI model in our ACL 2019 paper: Augmenting Neural Networks with First-order Logic.
Codes for the experiments in our EMNLP 2021 paper "Open Aspect Target Sentiment Classification with Natural Language Prompts"
Visualization tool for interpreting NLP models
pytorch implementation of various models for snli and mnli task
Code for the paper EMNLP 2021 workshop paper "Generalization in NLI: Ways (Not) To Go Beyond Simple Heuristics"
Implementation of models in our EMNLP 2019 paper: A Logic-Driven Framework for Consistency of Neural Models
The dataset and code for ACL 2022 paper "SciNLI: A Corpus for Natural Language Inference on Scientific Text" are released here.
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