Coping with Semantic Uncertainty with VENSES
published: Feb. 25, 2007, recorded: April 2006, views: 3252
Report a problem or upload filesIf you have found a problem with this lecture or would like to send us extra material, articles, exercises, etc., please use our ticket system to describe your request and upload the data.
Enter your e-mail into the 'Cc' field, and we will keep you updated with your request's status.
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.
Link this pageWould you like to put a link to this lecture on your homepage?
Go ahead! Copy the HTML snippet !