Coping with Semantic Uncertainty with VENSES

author: Rodolfo Delmonte, University Ca' Foscari
published: Feb. 25, 2007,   recorded: April 2006,   views: 3252

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As in the previous RTE Challenge, we present a linguistically-based approach for semantic inference which is built around a neat division of labour between two main components: a grammatically-driven subsystem which is responsible for the level of predicate-arguments well-formedness and works on the output of a deep parser that produces augmented head-dependency structures. A second subsystem tries allowed logical and lexical inferences on the basis of different types of structural transformation intended to produce a semantically valid meaning corrispondence. Grammatical relations and semantic roles are used to generate a weighted score. In the current challenge, a number of additional modules have been added to cope with fine-grained inferential triggers which were not present in the previous datset.

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