整理了最近几年关于Sentences Match 以及 Relevance Match 相关的顶会论文，对于公开代码，给出了git 链接

Model	Paper	OpenSource	Link	Year
DSSM	Learning Deep Structured Semantic Models for Web Search using Clickthrough Data; CIKM 2013	Y	https://github.com/baharefatemi/DSSM	2013
CDSSM	A latent semantic model with convolutional-pooling structure for information retrieval; CIKM 2014	Y	https://github.com/nishnik/Deep-Semantic-Similarity-Model-PyTorch/blob/master/cdssm.py	2014
ARC-I/ARC-II	Convolutional Neural Network Architectures for Matching Natural Language Sentences; NIPS 2014	N		2014
CNTN	Convolutional Neural Tensor Network Architecture for Community-Based Question Answering; IJCAI 2015	N		2015
MultiGranCNN	MultiGranCNN: An Architecture for General Matching of Text Chunks on Multiple Levels of Granularity; ACL 2015	N		2015
LSTM-RNN	Deep Sentence Embedding Using the Long Short Term Memory Network: Analysis and Application to Information Retrieval; TASLP 2016	N		2016
MatchPyramid	Text Matching as Image Recognition; AAAI 2016	Y	https://github.com/pl8787/MatchPyramid-TensorFlow	2016
MV-LSTM	A Deep Architecture for Semantic Matching with Multiple Positional Sentence Representations; AAAI 2016	N		2016
Match-SRNN	Match-SRNN: Modeling the Recursive Matching Structure with Spatial RNN; IJCAI 2016	N		2016
Decomposable Attention Model	A Decomposable Attention Model for Natural Language Inference; EMNLP 2016	Y	https://github.com/HsiaoYetGun/Decomposable-Attention	2016
DRMM	A Deep Relevance Matching Model for Ad-hoc Retrieval; CIKM 2016	Y	https://github.com/sebastian-hofstaetter/neural-ranking-drmm	2016
hybrid of ConvNet and BiLSTM	Pairwise Word Interaction Modeling with Deep Neural Networks for Semantic Similarity Measurement; NAACL-HLT 2016	N		2016
ABCNN	ABCNN: Attention-Based Convolutional Neural Network for Modeling Sentence Pairs; TACL 2016	Y	https://github.com/galsang/ABCNN	2016
SeqMatchSeq	A compare-aggregate model for matching text sequences	Y	https://github.com/shuohangwang/SeqMatchSeq	2016
K-NRM	End-to-End Neural Ad-hoc Ranking with Kernel Pooling; SIGIR 2017	Y	https://github.com/AdeDZY/K-NRM	2017
DeepRank	DeepRank: a New Deep Architecture for Relevance Ranking in Information Retrieval; CIKM 2017	N		2017
BiMPM	Bilateral Multi-Perspective Matching for Natural Language Sentences; IJCAI 2017	Y	https://github.com/zhiguowang/BiMPM	2017
ESIM	Enhancing and Combining Sequential and Tree LSTM for Natural Language Inference; ACL 2017	Y	https://github.com/lukecq1231/nli	2017
PACRR	PACRR: A Position-Aware Deep Model for Relevance Matching in Information Retrieval; EMNLP 2017	Y	https://github.com/khui/copacrr	2017
LMLDR	Learning to Match Using Local and Distributed Representations of Text for Web Search; WWW 2017	N		2017
weak-supervision	Neural ranking models with weak supervision ; SIGIR 2017	Y	https://github.com/hamed-zamani/snrm	2017
K-NRM	End-to-end neural ad-hoc ranking with kernel pooling; SIGIR 2017	Y	https://github.com/AdeDZY/K-NRM	2017
Conv-KNRM	Convolutional Neural Networks for Soft-Matching N-Grams in Ad-hoc Search; WSDM 2018	Y	https://github.com/thunlp/EntityDuetNeuralRanking	2018
MIX	Multi-Channel Information Crossing for Text Matching; KDD 2018	N		2018
DIIN	Natural Language Inference over interaction space; ICLR 2018	Y	https://github.com/YichenGong/Densely-Interactive-Inference-Network	2018
AdaQA	Learning Context-Sensitive Convolutional Filters for Text Processing; EMNLP 2018	N		2018
ComProp	Compare, Compress and Propagate: Enhancing Neural Architectureswith Alignment Factorization for Natural Language Inference; EMNLP 2018	N		2018
DSA	Dynamic Self-Attention : Computing Attention over Words Dynamically for Sentence Embedding	N		2018
ElBis	Element-wise Bilinear Interaction for Sentence Matching; JCLCS 2018	N		2018
HSF	Matching Natural Language Sentences with Hierarchical Sentence Factorization; WWW 2018	Y	https://github.com/BangLiu/SentenceMatching	2018
MwAN	Mutliway Attention Networks for Modeling Sentences Pairs; IJCAI 2018	N		2018
pair2vec	pair2vec: Compositional Word-Pair Embeddings for Cross-Sentence Inference	N		2018
DCNN	Deconvolutional Paragraph Representation Learning; NIPS2018	Y	https://github.com/dreasysnail/textCNN_public	2018
HiNT	Modeling Diverse Relevance Patterns in Ad-hoc Retrieval; SIGIR 2018	N		2018
MCAN	Multi-Cast Attention Networks for Retrieval-based Question Answering and Response Prediction; KDD2018	N		2018
DLCM	Learning a Deep Listwise Context Model for Ranking Refinement; SIGIR 2018	Y	https://github.com/QingyaoAi/Deep-Listwise-Context-Model-for-Ranking-Refinement	2018
Co-PACRR	A Context-Aware Neural IR Model for Ad-hoc Retrieval; WSDM 2018	Y	https://github.com/khui/copacrr	2018
DRCN	Semantic Sentence Matching with Densely-connected Recurrent and Co-attentive Information; AAAI 2019	N		2019