A symbolic approach to Automatic MultiWord Term Structuring

A symbolic approach to Automatic MultiWord Term Structuring

article
Eric SanJuan, James Dowdall, Fidelia Imbekwe-SanJuan, Fabio Rinaldi
This paper presents a three-level structuring of multiword terms basing on lexical inclusion, WordNet similarity and a clustering approach. Term clustering by automatic data analysis methods offers an inter- esting way of organizing a domainÕs knowledge structure, useful for several information-oriented tasks like science and technology watch, textmining, computer-assisted ontology population, Question Answering (Q–A). This paper explores how this three-level term structuring brings to light the knowledge structures from a corpus of genomics and compares the mapping of the domain topics against a hand-built ontology (the GENIA ontology). Ways of integrating the results into a Q–A system are discussed.
A symbolic approach to Automatic MultiWord Term Structuring
2004
Computer Speech and Language, Special Issue on Multiword Expressions
Computer Speech and Language
cl