A Convolutional Neural Network for Modelling Sentences. ACL 2014. [PDF]
Learning to Rank Short Text Pairs with Convolutional Deep Neural Networks. SIGIR 2015. [PDF]
Recurrent convolutional neural networks for text classification. AAAI 2015. [PDF]
Siamese Recurrent Architectures for Learning Sentence Similarity. AAAI 2016. [PDF]
Using Context-Aligned Recurrent Neural Networks for Modeling Sentence Similarity. AAAI 2018. [PDF]
Bridging the Gap of Relevance Matching and Semantic Matching with Hierarchical Co-Attention Network. EMNLP 2019. [PDF]
Aggregating Bidirectional Encoder Representations Using MatchLSTM for Sequence Matching. EMNLP 2019. [PDF]
Semantic Sentence Matching with Densely-connected Recurrent and Co-attentive Information. AAAI 2019. [PDF]
DRr-Net: Dynamic Re-read Network for Sentence Semantic Matching. AAAI 2019. [PDF]
Simple and Effective Text Matching with Richer Alignment Features. ACL 2019. [PDF]
Improved Representation Learning for Question Answer Matching. ACL 2016. [PDF]
Improved Text Matching by Enhancing Mutual Information. AAAI 2018. [PDF]
Distributed Representations of Sentences and Documents. JRML 2014. (Doc2Vec) [PDF]
From word embeddings to document distances. JRML 2015. (WMD) [PDF]
Learning to Rank Short Text Pairs with Convolutional Deep Neural Networks. SIGIR 2015. [PDF]
Optimal Transport-based Alignment of Learned Character Representations for String Similarity. ACL 2019. [PDF]
Multi‐level Head‐wise Match and Aggregation in Transformer for Textual Sequence Matching. AAAI 2020.
Improving the Similarity Measure of Determinantal Point Processes for Extractive Multi-Document Summarization. ACL 2019. [PDF]
Bayes Test of Precision, Recall, and F1 Measure for Comparison of Two Natural Language Processing Models. ACL 2019. [PDF]
CompareLDA A Topic Model for Document Comparison. AAAI 2019. [PDF]
Quantifying Similarity between Relations with Fact Distribution. ACL 2019. [PDF]
Density Matching for Bilingual Word Embedding. NAACL 2019. [PDF]
In this paper, we propose an approach that instead expresses the two monolingual embedding spaces as
probability densities defined by a Gaussian mixture model, and matches the two densities using a method called normalizing flow.
Document Similarity for Texts of Varying Lengths via Hidden Topics. ACL 2018. [PDF]
Deconvolutional Latent-Variable Model for Text Sequence Matching. AAAI 2018. [PDF]
Matching Article Pairs with Graphical Decomposition and Convolutions. ACL 2019. [PDF]
Dual-View Variational Autoencoders for Semi-Supervised Text Matching. IJCAI 2019. [PDF]
Knowledge Enhanced Hybrid Neural Network for Text Matching. AAAI 2018. [PDF]
Semantic Text Matching for Long-Form Documents. WWW 2019. [PDF] Knowledge and Cross‐Pair Pattern Guided Semantic Matching for Question Answering. AAAI 2020.
A Multimodal Text Matching Model for Obfuscated Language Identification in Adversarial Communication. WWW 2019. [PDF] HAL: Improved Text-Image Matching by Mitigating Visual Semantic Hubs. AAAI 2020. Expressing Objects just like Words: Recurrent Visual Embedding for Image‐Text Matching. AAAI 2020.
Leveraging Meta Information in Short Text Aggregation. ACL 2019