Document type
ArticleVersion
Published versionPublication date
All rights reserved
Please use this identifier to cite or link to this item: https://hdl.handle.net/2445/129375
Hacia un sistema de clasificación automática de sustantivos deverbales
Journal Title
Director/Tutor
Journal ISSN
Volume Title
Related resource
Abstract
Deverbal nominalizations constitute a rich source of semantic information. To have it recognized may be very useful for different NLP tasks. In this paper we present the nominal lexicon AnCora-Nom, which consists of 817 lexical entries of deverbal nouns, and a series of experiments based on machine-learning techniques. These experiments allow us to evaluate positively the consistency of annotated data in AnCora-Nom, and to detect the most relevant features for the denotative distinction between event and result nominalizations. Furthermore, with these experiments the foundations of an automatic classification system of the deverbal nominalizations according to their denotation are laid.
Subject (English)
Citation
Citation
PERIS MORANT, Aina, TAULÉ DELOR, Mariona and RODRÍGUEZ HONTORIA, Horacio. Hacia un sistema de clasificación automática de sustantivos deverbales. Procesamiento del lenguaje natural . 2009. Vol. 43, num. 23-31. ISSN 1135-5948. [consulted: 19 of August of 2026]. Available at: https://hdl.handle.net/2445/129375