@inproceedings{federzoni-etal-2021-coreference,
title = "Coreference Chains Categorization by Sequence Clustering",
author = "Federzoni, Silvia and
Ho-Dac, Lydia-Mai and
Fabre, C{\'e}cile",
editor = "Braud, Chlo{\'e} and
Hardmeier, Christian and
Li, Junyi Jessy and
Louis, Annie and
Strube, Michael and
Zeldes, Amir",
booktitle = "Proceedings of the 2nd Workshop on Computational Approaches to Discourse",
month = nov,
year = "2021",
address = "Punta Cana, Dominican Republic and Online",
publisher = "Association for Computational Linguistics",
url = "https://aclanthology.org/2021.codi-main.5",
doi = "10.18653/v1/2021.codi-main.5",
pages = "52--57",
abstract = "The diversity of coreference chains is usually tackled by means of global features (length, types and number of referring expressions, distance between them, etc.). In this paper, we propose a novel approach that provides a description of their composition in terms of sequences of expressions. To this end, we apply sequence analysis techniques to bring out the various strategies for introducing a referent and keeping it active throughout discourse. We discuss a first application of this method to a French written corpus annotated with coreference chains. We obtain clusters that are linguistically coherent and interpretable in terms of reference strategies and we demonstrate the influence of text genre and semantic type of the referent on chain composition.",
}
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%0 Conference Proceedings
%T Coreference Chains Categorization by Sequence Clustering
%A Federzoni, Silvia
%A Ho-Dac, Lydia-Mai
%A Fabre, Cécile
%Y Braud, Chloé
%Y Hardmeier, Christian
%Y Li, Junyi Jessy
%Y Louis, Annie
%Y Strube, Michael
%Y Zeldes, Amir
%S Proceedings of the 2nd Workshop on Computational Approaches to Discourse
%D 2021
%8 November
%I Association for Computational Linguistics
%C Punta Cana, Dominican Republic and Online
%F federzoni-etal-2021-coreference
%X The diversity of coreference chains is usually tackled by means of global features (length, types and number of referring expressions, distance between them, etc.). In this paper, we propose a novel approach that provides a description of their composition in terms of sequences of expressions. To this end, we apply sequence analysis techniques to bring out the various strategies for introducing a referent and keeping it active throughout discourse. We discuss a first application of this method to a French written corpus annotated with coreference chains. We obtain clusters that are linguistically coherent and interpretable in terms of reference strategies and we demonstrate the influence of text genre and semantic type of the referent on chain composition.
%R 10.18653/v1/2021.codi-main.5
%U https://aclanthology.org/2021.codi-main.5
%U https://doi.org/10.18653/v1/2021.codi-main.5
%P 52-57
Markdown (Informal)
[Coreference Chains Categorization by Sequence Clustering](https://aclanthology.org/2021.codi-main.5) (Federzoni et al., CODI 2021)
ACL
- Silvia Federzoni, Lydia-Mai Ho-Dac, and Cécile Fabre. 2021. Coreference Chains Categorization by Sequence Clustering. In Proceedings of the 2nd Workshop on Computational Approaches to Discourse, pages 52–57, Punta Cana, Dominican Republic and Online. Association for Computational Linguistics.