Improving parsing using morpho-syntactic and semantic information
Journal Title: Revista Romana de Interactiune Om-Calculator - Year 2016, Vol 9, Issue 4
Abstract
In this paper, we present the efforts of creating a syntactic parser with a very good performance on Romanian sentences. Instead of creating a parser from scratch, we decided to test the freely available existing ones and to subject them to tuning, feeding them with linguistic information in the form of features (transitivity/intransitivity, semantic class, subcategorization frames, etc.). The parsers are trained and tested on the Romanian treebank in the Universal Dependencies format. We present here, as on-going work, some partial results of our endeavor: after including only several features, we got encouraging results. We also discuss some other features that can be added to the parser in order to further improve its performance, with the final aim of attaining a reliable tool for syntactic analysis of sentences, as a task per se, and also for their use in various applications involving natural language processing.
Authors and Affiliations
Verginica Barbu Mititelu, Radu Ion, Andrei Scutelnuicu, Elena Irimia
Keywords
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