└── README.md /README.md: -------------------------------------------------------------------------------- 1 | # Text Matching Papers 2 | 3 | ## *Text Matching - CNN* 4 | **A Convolutional Neural Network for Modelling Sentences**. *ACL 2014*. [[PDF]()] 5 | 6 | **Learning to Rank Short Text Pairs with Convolutional Deep Neural Networks**. *SIGIR 2015*. [[PDF](http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.723.6492&rep=rep1&type=pdf)] 7 | 8 | 9 | ## *Text Matching - RNN/LSTM* 10 | **Recurrent convolutional neural networks for text classification**. *AAAI 2015*. [[PDF](https://www.aaai.org/ocs/index.php/AAAI/AAAI15/paper/download/9745/9552)] 11 | 12 | **Siamese Recurrent Architectures for Learning Sentence Similarity**. *AAAI 2016*. [[PDF](https://www.aaai.org/ocs/index.php/AAAI/AAAI16/paper/viewPDFInterstitial/12195/12023)] 13 | 14 | **Using Context-Aligned Recurrent Neural Networks for Modeling Sentence Similarity**. *AAAI 2018*. [[PDF](https://www.aaai.org/ocs/index.php/AAAI/AAAI18/paper/download/17114/15696)] 15 | 16 | 17 | ## *Text Matching - Attentive* 18 | **Bridging the Gap of Relevance Matching and Semantic Matching with Hierarchical Co-Attention Network**. *EMNLP 2019*. [[PDF](https://pdfs.semanticscholar.org/9082/0988957e74db0fbb1df79175610e08016ba4.pdf)] 19 | 20 | Aggregating Bidirectional Encoder Representations Using MatchLSTM for Sequence Matching. *EMNLP 2019*. [[PDF](https://www.aclweb.org/anthology/D19-1626.pdf)] 21 | 22 | Semantic Sentence Matching with Densely-connected Recurrent and Co-attentive Information. *AAAI 2019*. [[PDF](https://www.aaai.org/ojs/index.php/AAAI/article/download/4627/4505)] 23 | 24 | DRr-Net: Dynamic Re-read Network for Sentence Semantic Matching. *AAAI 2019*. [[PDF](https://www.aaai.org/Papers/AAAI/2019/AAAI-ZhangKun.5147.pdf)] 25 | 26 | **Simple and Effective Text Matching with Richer Alignment Features**. *ACL 2019*. [[PDF](https://arxiv.org/pdf/1908.00300)] 27 | 28 | **Improved Representation Learning for Question Answer Matching**. *ACL 2016*. [[PDF](https://www.aclweb.org/anthology/P16-1044.pdf)] 29 | 30 | 31 | ## *Text Matching - MI* 32 | **Improved Text Matching by Enhancing Mutual Information**. *AAAI 2018*. [[PDF](https://www.aaai.org/ocs/index.php/AAAI/AAAI18/paper/download/16214/16077)] 33 | 34 | 35 | ## *Text Representations* 36 | **Distributed Representations of Sentences and Documents**. *JRML 2014*. (**Doc2Vec**) [[PDF](http://www.jmlr.org/proceedings/papers/v32/le14.pdf)] 37 | 38 | **From word embeddings to document distances**. *JRML 2015*. (**WMD**) [[PDF](http://www.jmlr.org/proceedings/papers/v37/kusnerb15.pdf)] 39 | 40 | **Learning to Rank Short Text Pairs with Convolutional Deep Neural Networks**. *SIGIR 2015*. [[PDF](http://eecs.csuohio.edu/~sschung/CIS660/RankShortTextCNNACM2015.pdf)] 41 | 42 | **Optimal Transport-based Alignment of Learned Character Representations for String Similarity**. *ACL 2019*. [[PDF](https://arxiv.org/pdf/1907.10165)] 43 | 44 | Multi‐level Head‐wise Match and Aggregation in Transformer for Textual Sequence Matching. *AAAI 2020*. 45 | 46 | 47 | ## *Text Matching - Metrics* 48 | **Improving the Similarity Measure of Determinantal Point Processes for Extractive Multi-Document Summarization**. *ACL 2019*. [[PDF](https://arxiv.org/pdf/1906.00072)] 49 | 50 | **Bayes Test of Precision, Recall, and F1 Measure for Comparison of Two Natural Language Processing Models**. *ACL 2019*. [[PDF](https://pdfs.semanticscholar.org/26bd/2ed1b00f99ea65012cb389e0b6a59847830b.pdf)] 51 | 52 | 53 | ## *Text Matching - Probability* 54 | CompareLDA A Topic Model for Document Comparison. *AAAI 2019*. [[PDF](https://pdfs.semanticscholar.org/f821/a6f243ff41676699289c28042e01ac8dc802.pdf)] 55 | 56 | Quantifying Similarity between Relations with Fact Distribution. *ACL 2019*. [[PDF](https://arxiv.org/pdf/1907.08937)] 57 | 58 | Density Matching for Bilingual Word Embedding. *NAACL 2019*. [[PDF](https://www.aclweb.org/anthology/N19-1161)] \ 59 | *In this paper, we propose an approach that instead expresses the two monolingual embedding spaces as 60 | probability densities defined by a Gaussian mixture model, and matches the two densities using a method called normalizing flow.* 61 | 62 | 63 | ## *Text Matching - Latent Variable* 64 | **Document Similarity for Texts of Varying Lengths via Hidden Topics**. *ACL 2018*. [[PDF](https://arxiv.org/pdf/1903.10675)] 65 | 66 | Deconvolutional Latent-Variable Model for Text Sequence Matching. *AAAI 2018*. [[PDF](https://www.aaai.org/ocs/index.php/AAAI/AAAI18/paper/download/16921/16098)] 67 | 68 | 69 | ## *Text Matching - Graph 70 | Matching Article Pairs with Graphical Decomposition and Convolutions. *ACL 2019*. [[PDF](https://www.aclweb.org/anthology/P19-1632.pdf)] 71 | 72 | 73 | ## *Text Matching - VAE* 74 | Dual-View Variational Autoencoders for Semi-Supervised Text Matching. *IJCAI 2019*. [[PDF](http://mashuai.buaa.edu.cn/pubs/ijcai2019.pdf)] 75 | 76 | ## *Text Matching - Knowledge* 77 | Knowledge Enhanced Hybrid Neural Network for Text Matching. *AAAI 2018*. [[PDF](https://www.aaai.org/ocs/index.php/AAAI/AAAI18/paper/download/16225/16116)] 78 | 79 | ## *Text Matching - Application* 80 | Semantic Text Matching for Long-Form Documents. *WWW 2019*. [[PDF](https://dl.acm.org/citation.cfm?id=3313707)] 81 | Knowledge and Cross‐Pair Pattern Guided Semantic Matching for Question Answering. *AAAI 2020*. 82 | 83 | ## *Text Matching - Multimodal* 84 | A Multimodal Text Matching Model for Obfuscated Language Identification in Adversarial Communication. *WWW 2019*. [[PDF](https://dl.acm.org/ft_gateway.cfm?id=3313410&ftid=2057270&dwn=1&CFID=170138107&CFTOKEN=a7c6ebaf4135480a-B4350875-A08C-34F8-4E6099F3994307CD)] 85 | HAL: Improved Text-Image Matching by Mitigating Visual Semantic Hubs. *AAAI 2020*. 86 | Expressing Objects just like Words: Recurrent Visual Embedding for Image‐Text Matching. *AAAI 2020*. 87 | 88 | ## *Others* 89 | Leveraging Meta Information in Short Text Aggregation. *ACL 2019* 90 | 91 | 92 | --------------------------------------------------------------------------------