Anotación semiautomática con papeles temáticos de los corpus CESS-ECE

In this paper we present the methodology followed in the automatic semantic annotation (argument structure and thematic roles of the verbal predicates) of the CESS-ECECAT/ESP corpus. Building from a verbal lexicon (1,482 entries) with information about the syntactic functions and their projection to arguments and thematic roles, we present a set of simple rules to automatically enrich syntactic trees with semantic information. This procedure permits to automatically annotate 60% of the expected arguments and thematic roles with a fairly low error rate (below 2%). Given the high quality of the obtained results, we claim that this methodology provides substantial savings in manual annotation effort and allows a semiautomatic approach to corpus annotation. Once completed, the CESS-ECE corpus will permit researchers to develop complete systems for automatic Semantic Role Labeling of Catalan and Spanish.