@inproceedings{yung-etal-2021-practical,
title = "A practical perspective on connective generation",
author = "Yung, Frances and
Scholman, Merel and
Demberg, Vera",
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.7",
doi = "10.18653/v1/2021.codi-main.7",
pages = "72--83",
abstract = "In data-driven natural language generation, we typically know what relation should be expressed and need to select a connective to lexicalize it. In the current contribution, we analyse whether a sophisticated connective generation module is necessary to select a connective, or whether this can be solved with simple methods (such as random choice between connectives that are known to express a given relation, or usage of a generic language model). Comparing these methods to the distributions of connective choices from a human connective insertion task, we find mixed results: for some relations, it is acceptable to lexicalize them using any of the connectives that mark this relation. However, for other relations (temporals, concessives) either a more detailed relation distinction needs to be introduced, or a more sophisticated connective choice module would be necessary.",
}
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%0 Conference Proceedings
%T A practical perspective on connective generation
%A Yung, Frances
%A Scholman, Merel
%A Demberg, Vera
%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 yung-etal-2021-practical
%X In data-driven natural language generation, we typically know what relation should be expressed and need to select a connective to lexicalize it. In the current contribution, we analyse whether a sophisticated connective generation module is necessary to select a connective, or whether this can be solved with simple methods (such as random choice between connectives that are known to express a given relation, or usage of a generic language model). Comparing these methods to the distributions of connective choices from a human connective insertion task, we find mixed results: for some relations, it is acceptable to lexicalize them using any of the connectives that mark this relation. However, for other relations (temporals, concessives) either a more detailed relation distinction needs to be introduced, or a more sophisticated connective choice module would be necessary.
%R 10.18653/v1/2021.codi-main.7
%U https://aclanthology.org/2021.codi-main.7
%U https://doi.org/10.18653/v1/2021.codi-main.7
%P 72-83
Markdown (Informal)
[A practical perspective on connective generation](https://aclanthology.org/2021.codi-main.7) (Yung et al., CODI 2021)
ACL
- Frances Yung, Merel Scholman, and Vera Demberg. 2021. A practical perspective on connective generation. In Proceedings of the 2nd Workshop on Computational Approaches to Discourse, pages 72–83, Punta Cana, Dominican Republic and Online. Association for Computational Linguistics.