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nlp:hypergraphs [2021/03/07 01:06] – created jmflanignlp:hypergraphs [2023/06/15 07:36] (current) – external edit 127.0.0.1
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 ===== Neural Papers ===== ===== Neural Papers =====
 +Neural papers that use hypergraphs.
   * [[https://www.aclweb.org/anthology/D18-1019.pdf|Wang & Lu 2018 - Neural Segmental Hypergraphs for Overlapping Mention Recognition]] EMNLP 2018   * [[https://www.aclweb.org/anthology/D18-1019.pdf|Wang & Lu 2018 - Neural Segmental Hypergraphs for Overlapping Mention Recognition]] EMNLP 2018
   * [[https://www.aclweb.org/anthology/N18-1079.pdf|Katiyar & Cardie 2018 - Nested Named Entity Recognition Revisited]]   * [[https://www.aclweb.org/anthology/N18-1079.pdf|Katiyar & Cardie 2018 - Nested Named Entity Recognition Revisited]]
   * [[https://www.aclweb.org/anthology/2020.emnlp-main.399.pdf|Ding et al 2020 - Be More with Less: Hypergraph Attention Networks for Inductive Text Classification]] EMNLP 2020   * [[https://www.aclweb.org/anthology/2020.emnlp-main.399.pdf|Ding et al 2020 - Be More with Less: Hypergraph Attention Networks for Inductive Text Classification]] EMNLP 2020
 +  * [[https://arxiv.org/pdf/2010.14439.pdf|Lin et al 2020 - Differentiable Open-Ended Commonsense Reasoning]] NAACL 2021
 +  * From [[https://aclanthology.org/2020.findings-emnlp.133.pdf|this paper]]: "Hypergraph convolutional networks (Feng et al., 2019; Yadati et al., 2019) utilize hypergraph structure rather than a general graph to represent the high-order correlation among data entirely, and hypergraph attention (Bai et al., 2019) further enhances the ability of representation learning by using an attention module."
  
  
nlp/hypergraphs.1615079214.txt.gz · Last modified: 2023/06/15 07:36 (external edit)

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