This paper investigates the problem of automatic chemical Term Recognition (TR) and proposes to tackle the problem by fusing Symbolic and statistical techniques. Unlike other solut...
Florian Boudin, Juan Manuel Torres Moreno, Marc El...
Knowing the degree of antonymy between words has widespread applications in natural language processing. Manually-created lexicons have limited coverage and do not include most se...
This paper describes the development of a rule-based computational model that describes how a feature-based representation of shared visual information combines with linguistic cu...
In this paper we present a proposal to extend WordNet-like lexical databases by adding phrasets, i.e. sets of free combinations of words which are recurrently used to express a co...
In this paper we propose computeraided summarisation (CAS) as an alternative approach to automatic summarisation, and present an ongoing project which aims to develop a CAS system...