Using a Diathesis Model for Semantic Parsing

This paper presents a semantic parsing approach for non domain-specific texts. Semantic parsing is one of the major bottlenecks of Natural Language Understanding (NLU) systems and usually requires the building of expensive resources not easily portable to a different domain. Our approach obtains a case-role analysis, in which the semantic roles of the verb are identified. In order to cover all the possible syntactic realisations of a verb, our system combines their argument structure with a set of general semantic labelled diatheses models. Combining them, the system builds a set of syntactic-semantic patterns with their own role-case representation. Once the patterns are build, we use an approximate tree pattern-matching algorithm to identify the most reliable pattern for a sentence. The pattern matching is performed between the syntacticsemantic patterns and the feature-structure tree representing the morphological, syntactical and semantic information of the analysed sentence. For ...

• Type: Journal
• Year: 2000
• Where: CORR
• Authors: Jordi Atserias, Irene Castellón, Montse Civit, German Rigau
• Keywords: CORR 2000, Education, Semantic, Semantic Parsing, Semantic Parsing Approach