自然语言推断(NLI)、文本相似度相关开源项目推荐(Pytorch 实现)

Awesome-Repositories-for-NLI-and-Semantic-Similarity
mainly record pytorch implementations for NLI and similarity computing

REPOSITORY	REFERENCE
baidu/SimNet	SEVERAL
NTSC-Community/awaresome-neural-models-for-semantic-match	SEVERAL
lanwuwei/SPM_toolkit:  ①DecAtt  ②ESIM  ③PWIM  ④SSE	Neural Network Models for Paraphrase Identification, Semantic Textual Similarity, Natural Language Inference, and Question Answering
MatchZoo:  ①DSSM  ②CDSSM  ③ARC-I  ④ARC-II  ⑤MV-LSTM  ⑥DRMM  ⑦K-NRM  ⑧CONV-KNRM  ⑨DRMM-TKS  ⑩BiMPM  ...	MatchZoo: A Toolkit for Deep Text Matching ...
likejazz/Siamese-LSTM	Siamese Recurrent Architectures for Learning Sentence Similarity
dhwajraj/deep-siamese-text-similarity(TF Implement)	Siamese Recurrent Architectures for Learning Sentence Similarity
vishnumani2009/siamese-text-similarity	①Learning Text Similarity with Siamese Recurrent Networks ②Siamese Recurrent Architectures for Learning Sentence Similarity
MaLSTM	Siamese Recurrent Architectures for Learning Sentence Similarity
Enhanced LSTM	Enhanced LSTM for Natural Language Inference
sdnr1/EBIM-NLI :Enhanced BiLSTM Inference Model	Enhanced LSTM for Natural Language Inference
allennlp/esim	Enhanced LSTM for Natural Language Inference
SiameseCNN
airalcorn2/Deep-Semantic-Similarity-Model	A Latent Semantic Model with Convolutional-Pooling Structure for Information Retrieval
preke/CNN_based_sentences_similarity	Detecting Semantically Equivalent Questions in Online User Forums
lsrock1/abcnn_pytorch	Attention-Based Convolutional Neural Network for Modeling Sentence Pairs
chiragjn/deep-char-cnn-lstm	①Siamese Recurrent Architectures for Learning Sentence Similarity (2016) ②Character-Aware Neural Language Models (2015)
Max bag-of-embeddings
easonnie/ResEncoder	Shortcut-Stacked Sentence Encoders for Multi-Domain Inference
simple baselines (SIF/InferSent/GoogleSentenceEncoder)	SEVERAL
universal-sentence-encoder(official)	Universal Sentence Encoder
facebookresearch/InferSent(official)	Supervised Learning of Universal Sentence Representations from Natural Language Inference Data