NTMC-Community / awesome-neural-models-for-semantic-match

A curated list of papers dedicated to neural text (semantic) matching.

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NAACL 2018/2019 relevant papers

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NAACL 2018:
DeepAlignment: Unsupervised Ontology Matching With Refined Word Vectors
http://www.dit.unitn.it/~pavel/OM/articles/Kolyvakis_N18.pdf
DR-BILSTM: DEPENDENT READING BIDIRECTIONAL LSTM FOR NATURAL LANGUAGE
https://arxiv.org/pdf/1802.05577.pdf
Learning to Disentangle Interleaved Conversational Threads with a Siamese Hierarchical Network and Similarity Ranking
https://www.aclweb.org/anthology/N18-1164
Learning to Rank Question-Answer Pairs using Hierarchical Recurrent Encoder with Latent Topic Clustering
https://arxiv.org/pdf/1710.03430.pdf

NAACL 2019:
A Complex-valued Network for Matching
https://arxiv.org/pdf/1904.05298.pdf
pair2vec: Compositional Word-Pair Embeddings for Cross-Sentence Inference
https://arxiv.org/pdf/1810.08854.pdf