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Aline Villavicencio
Researcher at University of Sheffield
Publications - 150
Citations - 2115
Aline Villavicencio is an academic researcher from University of Sheffield. The author has contributed to research in topics: Verb & Machine translation. The author has an hindex of 25, co-authored 141 publications receiving 1906 citations. Previous affiliations of Aline Villavicencio include University of Rio Grande & Universidade Federal do Rio Grande do Sul.
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Proceedings ArticleDOI
Extracting the unextractable: a case study on verb-particles
TL;DR: This paper combines three basic methods for extracting English verb--particle constructions from raw text corpora into a single classifier, and adds in a number of extra lexical and frequentistic features.
Proceedings Article
mwetoolkit: a Framework for Multiword Expression Identification
TL;DR: The preliminary results show that the toolkit performs better than other approaches, especially concerning recall, and can be extended in several ways in order to improve the quality of the results.
Proceedings Article
Multiword expressions: linguistic precision and reusability.
Ann Copestake,Fabre Lambeau,Aline Villavicencio,Francis Bond,Timothy Baldwin,Ivan A. Sag,Dan Flickinger +6 more
TL;DR: How the lexicon of multiword expressions is encoded in a database is discussed and the implications for building a reusable lexical resource are described.
Proceedings Article
Validation and Evaluation of Automatically Acquired Multiword Expressions for Grammar Engineering
TL;DR: The overall conclusion is that at least two measures seem to differentiate MWEs from non-MWEs, and it is argued that such a process improves qualitatively, if a more compositional approach to grammar/lexicon automated extension is adopted.
Journal ArticleDOI
Editorial: Introduction to the special issue on multiword expressions: Having a crack at a hard nut
TL;DR: This special issue includes ten papers which propose a variety of approaches for finding and handling multiword expressions, both for building general purpose lexical resources and in the context of specific applications.