| Title | Cross-Language Acquisition of Semantic Models for Verbal Predicates |
| Author(s) |
Jordi Atserias (1), Bernardo Magnini (2), Octavian Popescu (2), Eneko Agirre (3), Aitziber Atutxa (3), German Rigau (3), John Carroll (4), Rob Koeling (4)
(1) TALP Research Center. Universitat Politécnica de Catalunya. (2) ITC-IRST Italy. ITC-IRST Italy. IXA Group. University of the Basque Country. (3) IXA Group. University of the Basque Country. IXA Group. University of the Basque Country. University of Sussex, Cognitive and Computing Sciences. UK. (4) University of Sussex, Cognitive and Computing Sciences.UK |
| Session | O2-W |
| Abstract | This paper presents a semantic-driven methodology for the automatic acquisition of verbal models. Our approach relies strongly on the semantic generalizations allowed by already existing resources (e.g. Domain labels, Named Entity categories, concepts in the SUMO ontology, etc). Several experiments have been carried out using comparable corpora in four languages (Italian, Spanish, Basque and English) and two domains (FINANCE and SPORT) showing that the semantic patterns acquired can be general enough to be ported from one language to the other language. |
| Keyword(s) | Multilingual Knowledge Acquisition |
| Language(s) | English, Spanish, Italian, Basque |
| Full Paper | 643.pdf |