Traditional vector-based models use word co-occurrence counts from large corpora to represent lexical meaning. In this paper we present a novel approach for constructing semantic ...
Previous studies have demonstrated that encoding a Bayesian network into a SAT formula and then performing weighted model counting using a backtracking search algorithm can be an ...
Question answering (QA) is the study on the methodology that returns exact answers to natural language questions. This paper attempts to increase the coverage and accuracy of QA sy...
A SuperSense Tagger is a tool for the automatic analysis of texts that associates to each noun, verb, adjective and adverb a semantic category within a general taxonomy. The devel...
Giuseppe Attardi, Stefano Dei Rossi, Giulia Di Pie...
This paper deals with the treatment of constructed neologisms in a machine translation system. It focuses on a particular issue in Romance languages: relational adjectives and the...