自然语言推断(NLI)文本相似度相关开源项目推荐(Pytorch 实现)

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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 Learning Text Similarity with Siamese Recurrent Networks
Siamese 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 Siamese Recurrent Architectures for Learning Sentence Similarity (2016)
Character-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



















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