The Typology of Ellipsis: A Corpus for Linguistic Analysis and Machine Learning Applications
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11320%2F25%3AU9Q5SRF4" target="_blank" >RIV/00216208:11320/25:U9Q5SRF4 - isvavai.cz</a>
Result on the web
<a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85189615255&partnerID=40&md5=8bb9d16d82460d0224284a8f3e5e7417" target="_blank" >https://www.scopus.com/inward/record.uri?eid=2-s2.0-85189615255&partnerID=40&md5=8bb9d16d82460d0224284a8f3e5e7417</a>
DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
The Typology of Ellipsis: A Corpus for Linguistic Analysis and Machine Learning Applications
Original language description
Ellipsis constructions are challenging for State-of-the-art (SotA) Natural Language Processing (NLP) technologies. Although theoretically well-documented and understood, there needs to be more sufficient cross-linguistic language resources to document, study, and ultimately engineer NLP solutions that can adequately provide analyses for ellipsis constructions. This article describes the typological data set on ellipsis that we created for currently seventeen languages. We demonstrate how SotA parsers based on a variety of syntactic frameworks fail to parse sentences with ellipsis, and in fact, probabilistic, neural, and Large Language Models (LLM) do so, too. We discuss experiments that focus on detecting sentences with ellipsis, predicting the position of elided elements, and predicting elided surface forms in the appropriate positions. We show that cross-linguistic variation of ellipsis-related phenomena has different consequences for the architecture of NLP systems. © 2024 Association for Computational Linguistics.
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
2024
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
SIGTYP - Workshop Res. Comput. Linguist. Typology Multiling. NLP, Proc. Workshop
ISBN
979-889176071-4
ISSN
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e-ISSN
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Number of pages
9
Pages from-to
46-54
Publisher name
Association for Computational Linguistics (ACL)
Place of publication
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Event location
St. Julian's
Event date
Jan 1, 2025
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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