Evaluating Diversity of Multiword Expressions in Annotated Text

Adam Lion-Bouton, Yagmur Ozturk, Agata Savary, Jean-Yves Antoine


Abstract
Diversity can be decomposed into three distinct concepts, namely: variety, balance and disparity. This paper borrows from the extensive formalization and measures of diversity developed in ecology in order to evaluate the variety and balance of multiword expression annotation produced by automatic annotation systems. The measures of richness, normalized richness, and two variations of Hill’s evenness are considered in this paper. We observe how these measures behave against increasingly smaller samples of gold annotations of multiword expressions and use their comportment to validate or invalidate their pertinence for multiword expressions in annotated texts. We apply the validated measures to annotations in 14 languages produced by systems during the PARSEME shared task on automatic identification of multiword expressions and on the gold versions of the corpora. We also explore the limits of such evaluation by studying the impact of lemmatization errors in the Turkish corpus used in the shared task.
Anthology ID:
2022.coling-1.290
Volume:
Proceedings of the 29th International Conference on Computational Linguistics
Month:
October
Year:
2022
Address:
Gyeongju, Republic of Korea
Venue:
COLING
SIG:
Publisher:
International Committee on Computational Linguistics
Note:
Pages:
3285–3295
Language:
URL:
https://aclanthology.org/2022.coling-1.290
DOI:
Bibkey:
Cite (ACL):
Adam Lion-Bouton, Yagmur Ozturk, Agata Savary, and Jean-Yves Antoine. 2022. Evaluating Diversity of Multiword Expressions in Annotated Text. In Proceedings of the 29th International Conference on Computational Linguistics, pages 3285–3295, Gyeongju, Republic of Korea. International Committee on Computational Linguistics.
Cite (Informal):
Evaluating Diversity of Multiword Expressions in Annotated Text (Lion-Bouton et al., COLING 2022)
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PDF:
https://aclanthology.org/2022.coling-1.290.pdf