Verb SCF extraction for Spanish with dependency parsing

Resumen

In this paper we present the results of our experiments in automatic production of verb subcategorization frame lexica for Spanish. The work was carried out in the framework of a project aiming at the automatic acquisition of lexical information reducing at maximum human intervention. In our experiments, a chain of different tools was used: domain focused web crawling, automatic cleaning, segmentation and tokenization, PoS tagging, dependency parsing and finally SCFs extraction. The obtained results show a high dependency on the quality of the results of the intervening components, in particular of the dependency parsing, which is the focus of this paper. Nevertheless, the results achieved are in line with the state-of-the-art for other languages in similar experiments.