Semi-automatic Acquisition of Lexical Resources and Grammars for Event Extraction in Bulgarian and Czech
In this paper we present a semi-automatic approach for acqusition of lexico-syntactic knowledge for event extraction in two Slavic languages, namely Bulgarian and Czech. The method uses several weakly-supervised and unsupervised algorithms, based on distributional semantics. Moreover, an intervention from a language expert is envisaged on different steps in the learning procedure, which increases its accuracy, with respect to unsupervised methods for lexical and grammar learning.
Keywords: event extraction, distributional semantics, lexical learning, grammar learning
Year: 2013
Download: 
Full text
Full text Authors of this publication:
Josef Steinberger
E-mail: jstein@kiv.zcu.cz
Josef is an associated professor at the Department of computer science and engineering at the University of West Bohemia in Pilsen, Czech Republic. He is interested in media monitoring and analysis, mainly automatic text summarisation, sentiment analysis and coreference resolution.