Towards an automatic verb classification for Spanish: study of the relevance of different types and configurations of syntactico-semantic information
Abstract
In this work we focus on the automatic acquisition of verbal classifications for Spanish. To do so, we perform a series of experiments with 20 verbal senses that belong to the Sensem corpus. We use different kinds of features that include diverse linguistic information and an agglomerative hierarchical clustering method to generate a number of classifications. We compare each of these automatic classifications with a semi-automatically created gold standard, which is built on the basis of linguistic constructions proposed by theoretical linguistics. This comparison allows us to investigate which features are adequate to build a verb classification coherent with linguistic constructionstheory and which are the similarities and differences between an automatic verbal classification and a verb classification based on the theory of linguistic constructions.
Published
2015-07-31
How to Cite
Gil-Vallejo, L., Castellón, I., Coll-Florit, M., & Turmo, J. (2015). Towards an automatic verb classification for Spanish: study of the relevance of different types and configurations of syntactico-semantic information. Linguamática, 7(1), 41-52. Retrieved from https://linguamatica.com/index.php/linguamatica/article/view/V7N1-3
Issue
Section
Research Articles
Authors who publish with this journal agree to the following terms:
- Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under a Creative Commons Attribution License that allows others to share the work with an acknowledgement of the work's authorship and initial publication in this journal.
- Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgement of its initial publication in this journal.
- Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work (See The Effect of Open Access).
