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Leveraging structural discourse information for event coreference resolution in Dutch

Loic De Langhe (UGent) , Orphée De Clercq (UGent) and Veronique Hoste (UGent)
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Abstract
We directly embed easily extractable discourse structure information (subsection, paragraph and text type) in a transformer-based Dutch event coreference resolution model in order to more explicitly provide it with structural information that is known to be important in coreferential relationships. Results show that integrating this type of knowledge leads to a significant improvement in CONLL F1 for within-document settings (+ 8.6\%) and a minor improvement for cross-document settings (+ 1.1\%).

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Citation

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MLA
De Langhe, Loic, et al. “Leveraging Structural Discourse Information for Event Coreference Resolution in Dutch.” Proceedings of the 4th Workshop on Computational Approaches to Discourse (CODI 2023), Association for Computational Linguistics, 2023, pp. 48–53, doi:10.18653/v1/2023.codi-1.5.
APA
De Langhe, L., De Clercq, O., & Hoste, V. (2023). Leveraging structural discourse information for event coreference resolution in Dutch. Proceedings of the 4th Workshop on Computational Approaches to Discourse (CODI 2023), 48–53. https://doi.org/10.18653/v1/2023.codi-1.5
Chicago author-date
De Langhe, Loic, Orphée De Clercq, and Veronique Hoste. 2023. “Leveraging Structural Discourse Information for Event Coreference Resolution in Dutch.” In Proceedings of the 4th Workshop on Computational Approaches to Discourse (CODI 2023), 48–53. Association for Computational Linguistics. https://doi.org/10.18653/v1/2023.codi-1.5.
Chicago author-date (all authors)
De Langhe, Loic, Orphée De Clercq, and Veronique Hoste. 2023. “Leveraging Structural Discourse Information for Event Coreference Resolution in Dutch.” In Proceedings of the 4th Workshop on Computational Approaches to Discourse (CODI 2023), 48–53. Association for Computational Linguistics. doi:10.18653/v1/2023.codi-1.5.
Vancouver
1.
De Langhe L, De Clercq O, Hoste V. Leveraging structural discourse information for event coreference resolution in Dutch. In: Proceedings of the 4th Workshop on Computational Approaches to Discourse (CODI 2023). Association for Computational Linguistics; 2023. p. 48–53.
IEEE
[1]
L. De Langhe, O. De Clercq, and V. Hoste, “Leveraging structural discourse information for event coreference resolution in Dutch,” in Proceedings of the 4th Workshop on Computational Approaches to Discourse (CODI 2023), Toronto, Canada, 2023, pp. 48–53.
@inproceedings{01H3YAKPDSG0DQRYX6D4ZC6BV3,
  abstract     = {{We directly embed easily extractable discourse structure information (subsection, paragraph and text type) in a transformer-based Dutch event coreference resolution model in order to more explicitly provide it with structural information that is known to be important in coreferential relationships. Results show that integrating this type of knowledge leads to a significant improvement in CONLL F1 for within-document settings (+ 8.6\%) and a minor improvement for cross-document settings (+ 1.1\%).}},
  author       = {{De Langhe, Loic and De Clercq, Orphée and Hoste, Veronique}},
  booktitle    = {{Proceedings of the 4th Workshop on Computational Approaches to Discourse (CODI 2023)}},
  isbn         = {{9781959429890}},
  language     = {{eng}},
  location     = {{Toronto, Canada}},
  pages        = {{48--53}},
  publisher    = {{Association for Computational Linguistics}},
  title        = {{Leveraging structural discourse information for event coreference resolution in Dutch}},
  url          = {{http://doi.org/10.18653/v1/2023.codi-1.5}},
  year         = {{2023}},
}

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