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nlp:constituency_parsing

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nlp:constituency_parsing [2022/02/20 23:22] – jmflanignlp:constituency_parsing [2023/07/03 19:00] (current) – jmflanig
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   * General Papers   * General Papers
     * See also [[https://en.wikipedia.org/wiki/CYK_algorithm|Wikipedia - CYK algorithm]]     * See also [[https://en.wikipedia.org/wiki/CYK_algorithm|Wikipedia - CYK algorithm]]
-  * Semi-ring parsing+  * Semi-ring parsing, see also [[Semiring]]
     * Goodman 1999     * Goodman 1999
   * Hypergraph parsing, see also [[Hypergraphs]]   * Hypergraph parsing, see also [[Hypergraphs]]
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   * Neural Parsers that use CKY   * Neural Parsers that use CKY
     * [[https://arxiv.org/pdf/1507.03641.pdf|Durrett & Klein 2015 - Neural CRF Parsing]]     * [[https://arxiv.org/pdf/1507.03641.pdf|Durrett & Klein 2015 - Neural CRF Parsing]]
 +    * [[https://arxiv.org/pdf/1705.03919.pdf|Stern et al 2017 - A Minimal Span-Based Neural Constituency Parser]]
     * [[https://arxiv.org/pdf/1804.07853.pdf|Gaddy et al 2018 - What's Going On in Neural Constituency Parsers? An Analysis]]     * [[https://arxiv.org/pdf/1804.07853.pdf|Gaddy et al 2018 - What's Going On in Neural Constituency Parsers? An Analysis]]
     * [[https://arxiv.org/pdf/1805.01052.pdf|Kitaev & Klein 2018 - Constituency Parsing with a Self-Attentive Encoder]]     * [[https://arxiv.org/pdf/1805.01052.pdf|Kitaev & Klein 2018 - Constituency Parsing with a Self-Attentive Encoder]]
 +    * [[https://arxiv.org/pdf/1911.03875.pdf|Mrini et al 2019 - Rethinking Self-Attention: Towards Interpretability in Neural Parsing]] Current SOTA (as of 2021)
     * [[https://arxiv.org/pdf/2008.03736.pdf|Zhang et al 2020 - Fast and Accurate Neural CRF Constituency Parsing]] ([[https://www.ijcai.org/Proceedings/2020/560/|talk]])     * [[https://arxiv.org/pdf/2008.03736.pdf|Zhang et al 2020 - Fast and Accurate Neural CRF Constituency Parsing]] ([[https://www.ijcai.org/Proceedings/2020/560/|talk]])
-    * [[https://arxiv.org/pdf/1911.03875.pdf|Mrini et al 2020 - Rethinking Self-Attention: Towards Interpretability in Neural Parsing]] Current SOTA (as of 2021) 
  
 === Other approaches === === Other approaches ===
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       * [[https://aclanthology.org/Q19-1005.pdf|Coavoux et al 2019 - Unlexicalized Transition-based Discontinuous Constituency Parsing]]       * [[https://aclanthology.org/Q19-1005.pdf|Coavoux et al 2019 - Unlexicalized Transition-based Discontinuous Constituency Parsing]]
       * [[https://proceedings.neurips.cc/paper/2020/file/f7177163c833dff4b38fc8d2872f1ec6-Paper.pdf|Yang & Deng 2020 - Strongly Incremental Constituency Parsing with Graph Neural Networks]]       * [[https://proceedings.neurips.cc/paper/2020/file/f7177163c833dff4b38fc8d2872f1ec6-Paper.pdf|Yang & Deng 2020 - Strongly Incremental Constituency Parsing with Graph Neural Networks]]
 +  * Top-Down Parsing
 +    * [[https://arxiv.org/pdf/1705.03919.pdf|Stern et al 2017 - A Minimal Span-Based Neural Constituency Parser]]
   * Sequence-to-Sequence Constituency Parsing   * Sequence-to-Sequence Constituency Parsing
     * [[https://papers.nips.cc/paper/5635-grammar-as-a-foreign-language.pdf|Vinyals et al 2015 - Grammar as a Foreign Language]]     * [[https://papers.nips.cc/paper/5635-grammar-as-a-foreign-language.pdf|Vinyals et al 2015 - Grammar as a Foreign Language]]
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   * Video-Aided   * Video-Aided
     * [[https://arxiv.org/pdf/2104.04369.pdf|Zhang et al 2021 - Video-aided Unsupervised Grammar Induction]] (Best paper at NAACL 2021)     * [[https://arxiv.org/pdf/2104.04369.pdf|Zhang et al 2021 - Video-aided Unsupervised Grammar Induction]] (Best paper at NAACL 2021)
 +
 +===== People =====
 +  * [[https://scholar.google.com/citations?user=faXAgZQAAAAJ&hl=en|Zhenghua Li]]
  
 ===== Related Pages ===== ===== Related Pages =====
   * [[Dependency Parsing]]   * [[Dependency Parsing]]
  
nlp/constituency_parsing.1645399356.txt.gz · Last modified: 2023/06/15 07:36 (external edit)
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