Paper: BUT-TYPED: Using domain knowledge for computing typed similarity

ACL ID S13-1016
Title BUT-TYPED: Using domain knowledge for computing typed similarity
Venue Joint Conference on Lexical and Computational Semantics
Session
Year 2013
Authors

This paper deals with knowledge-based text processing which aims at an intuitive notion of textual similarity. Entities and relations rel- evant for a particular domain are identified and disambiguated by means of semi-supervised machine learning techniques and resulting an- notations are applied for computing typed- similarity of individual texts. The work described in this paper particularly shows effects of the mentioned processes in the context of the *SEM 2013 pilot task on typed-similarity, a part of the Semantic Tex- tual Similarity shared task. The goal is to evaluate the degree of semantic similarity be- tween semi-structured records. As the evalu- ation dataset has been taken from Europeana ? a collection of records on European cultural heritage objects ? we focus on computing a ...