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Match

★ 43 Open GitHub ↗

sentences pair match, relevance match

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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](https://www.microsoft.com/en-us/research/publication/learning-deep-structured-semantic-models-for-web-search-using-clickthrough-data/) | Y          | https://github.com/baharefatemi/DSSM                         | 2013 |
| CDSSM                        | [A latent semantic model with convolutional-pooling structure   for information retrieval; CIKM 2014](http://www.iro.umontreal.ca/~lisa/pointeurs/ir0895-he-2.pdf) | 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](https://papers.nips.cc/paper/5550-convolutional-neural-network-architectures-for-matching-natural-language-sentences.pdf) | N          |                                                              | 2014 |
| CNTN                         | [Convolutional Neural Tensor Network Architecture for   Community-Based Question Answering; IJCAI 2015](https://www.ijcai.org/Proceedings/15/Papers/188.pdf) | N          |                                                              | 2015 |
| MultiGranCNN                 | [MultiGranCNN: An Architecture for General Matching of Text   Chunks on Multiple Levels of Granularity; ACL 2015](http://www.aclweb.org/anthology/P15-1007) | N          |                                                              | 2015 |
| LSTM-RNN                     | [Deep Sentence Embedding Using the Long Short Term Memory   Network: Analysis and Application to Information Retrieval; TASLP 2016](https://arxiv.org/abs/1502.06922) | N          |                                                              | 2016 |
| MatchPyramid                 | [Text Matching as Image Recognition; AAAI 2016](https://arxiv.org/abs/1602.06359) | Y          | https://github.com/pl8787/MatchPyramid-TensorFlow            | 2016 |
| MV-LSTM                      | [A Deep Architecture for Semantic Matching with Multiple   Positional Sentence Representations; AAAI 2016](https://arxiv.org/abs/1511.08277) | N          |                                                              | 2016 |
| Match-SRNN                   | [Match-SRNN: Modeling the Recursive Matching Structure with   Spatial RNN; IJCAI 2016](https://arxiv.org/abs/1604.04378) | N          |                                                              | 2016 |
| Decomposable Attention Model | [A Decomposable Attention Model for Natural Language   Inference; EMNLP 2016](https://arxiv.org/abs/1606.01933) | Y          | https://github.com/HsiaoYetGun/Decomposable-Attention        | 2016 |
| DRMM                         | [A Deep Relevance Matching Model for Ad-hoc Retrieval; CIKM   2016](https://arxiv.org/abs/1711.08611) | 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](http://www.aclweb.org/anthology/N16-1108) | N          |                                                              | 2016 |
| ABCNN                        | [ABCNN: Attention-Based Convolutional Neural Network for   Modeling Sentence Pairs; TACL 2016](https://arxiv.org/abs/1512.05193) | Y          | https://github.com/galsang/ABCNN                             | 2016 |
| SeqMatchSeq                  | [A compare-aggregate model for matching text sequences](https://arxiv.org/abs/1611.01747) | Y          | https://github.com/shuohangwang/SeqMatchSeq                  | 2016 |
| K-NRM                        | [End-to-End Neural Ad-hoc Ranking with Kernel Pooling; SIGIR   2017](https://arxiv.org/abs/1706.06613) | Y          | https://github.com/AdeDZY/K-NRM                              | 2017 |
| DeepRank                     | [DeepRank: a New Deep Architecture for Relevance Ranking in   Information Retrieval; CIKM 2017](https://arxiv.org/abs/1710.05649) | N          |                                                              | 2017 |
| BiMPM                        | [Bilateral Multi-Perspective Matching for Natural Language   Sentences; IJCAI 2017](https://arxiv.org/abs/1702.03814) | Y          | https://github.com/zhiguowang/BiMPM                          | 2017 |
| ESIM                         | [Enhancing and Combining Sequential and Tree LSTM for Natural   Language Inference; ACL 2017](https://arxiv.org/abs/1609.06038) | Y          | https://github.com/lukecq1231/nli                            | 2017 |
| PACRR                        | [PACRR: A Position-Aware Deep Model for Relevance Matching in   Information Retrieval; EMNLP 2017](https://arxiv.org/abs/1704.03940) | Y          | https://github.com/khui/copacrr                              | 2017 |
| LMLDR                        | [Learning to Match Using Local and Distributed Representations   of Text for Web Search; WWW 2017](https://www.microsoft.com/en-us/research/wp-content/uploads/2016/10/wwwfp0192-mitra.pdf) | N          |                                                              | 2017 |
| weak-supervision             | [Neural ranking models with weak supervision ; SIGIR 2017](https://arxiv.org/abs/1704.08803) | Y          | https://github.com/hamed-zamani/snrm                         | 2017 |
| K-NRM                        | [End-to-end neural ad-hoc ranking with kernel   pooling; SIGIR 2017](https://arxiv.org/abs/1706.06613) | Y          | https://github.com/AdeDZY/K-NRM                              | 2017 |
| Conv-KNRM                    | [Convolutional Neural Networks for Soft-Matching N-Grams in   Ad-hoc Search; WSDM 2018](https://www.cs.cmu.edu/~callan/Papers/wsdm18-zhuyun-dai.pdf) | Y          | https://github.com/thunlp/EntityDuetNeuralRanking            | 2018 |
| MIX                          | [Multi-Channel Information Crossing for Text Matching; KDD 2018](http://www.kdd.org/kdd2018/accepted-papers/view/mix-multi-channel-information-crossing-for-text-matching) | N          |                                                              | 2018 |
| DIIN                         | [Natural Language Inference over interaction space; ICLR 2018](https://arxiv.org/abs/1709.04348) | Y          | https://github.com/YichenGong/Densely-Interactive-Inference-Network | 2018 |
| AdaQA                        | [Learning Context-Sensitive Convolutional Filters for Text   Processing; EMNLP 2018](https://arxiv.org/abs/1709.08294) | N          |                                                              | 2018 |
| ComProp                      | [Compare, Compress and Propagate: Enhancing Neural   Architectureswith Alignment Factorization for Natural Language  Inference; EMNLP 2018](http://aclweb.org/anthology/D18-1185) | N          |                                                              | 2018 |
| DSA                          | [Dynamic Self-Attention :   Computing Attention over Words Dynamically for Sentence Embedding](https://arxiv.org/abs/1808.07383) | N          |                                                              | 2018 |
| ElBis                        | [Element-wise Bilinear Interaction for Sentence Matching; JCLCS   2018](http://aclweb.org/anthology/S18-2012) | N          |                                                              | 2018 |
| HSF                          | [Matching Natural Language Sentences with Hierarchical Sentence   Factorization; WWW 2018](https://arxiv.org/abs/1803.00179) | Y          | https://github.com/BangLiu/SentenceMatching                  | 2018 |
| MwAN                         | [Mutliway Attention Networks for Modeling Sentences Pairs; IJCAI   2018](https://www.ijcai.org/proceedings/2018/0613.pdf) | N          |                                                              | 2018 |
| pair2vec                     | [pair2vec: Compositional Word-Pair Embeddings for   Cross-Sentence Inference](https://arxiv.org/abs/1810.08854) | N          |                                                              | 2018 |
| DCNN                         | [Deconvolutional Paragraph Representation Learning; NIPS2018](https://arxiv.org/abs/1708.04729) | Y          | https://github.com/dreasysnail/textCNN_public                | 2018 |
| HiNT                         | [Modeling Diverse Relevance Patterns in Ad-hoc Retrieval; SIGIR   2018](https://arxiv.org/abs/1805.05737) | N          |                                                              | 2018 |
| MCAN                         | [Multi-Cast Attention Networks for Retrieval-based Question   Answering and Response Prediction; KDD2018](https://arxiv.org/abs/1806.00778) | N          |                                                              | 2018 |
| DLCM                         | [Learning a Deep Listwise Context   Model for Ranking Refinement; SIGIR 2018](https://arxiv.org/abs/1804.05936) | 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](https://arxiv.org/pdf/1706.10192.pdf) | Y          | https://github.com/khui/copacrr                              | 2018 |
| DRCN                         | [Semantic Sentence Matching with   Densely-connected Recurrent and Co-attentive Information; AAAI 2019](https://arxiv.org/abs/1805.11360) | N          |                                                              | 2019 |

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