Evaluating Diversity of Multiword Expressions in Annotated Text
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11320%2F22%3AWPF3JV5Q" target="_blank" >RIV/00216208:11320/22:WPF3JV5Q - isvavai.cz</a>
Result on the web
<a href="https://aclanthology.org/2022.coling-1.290" target="_blank" >https://aclanthology.org/2022.coling-1.290</a>
DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
Evaluating Diversity of Multiword Expressions in Annotated Text
Original language description
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.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
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OECD FORD branch
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Result continuities
Project
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Continuities
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Others
Publication year
2022
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Proceedings of the 29th International Conference on Computational Linguistics
ISBN
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ISSN
2951-2093
e-ISSN
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Number of pages
11
Pages from-to
3285-3295
Publisher name
International Committee on Computational Linguistics
Place of publication
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Event location
Gyeongju, Republic of Korea
Event date
Jan 1, 2022
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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