Computer Science – Artificial Intelligence
Scientific paper
2006-07-11
Dans Actes de The 28th Annual Conference of the Cognitive Science Society (CogSci 2006) - The 28th Annual Conference of the Co
Computer Science
Artificial Intelligence
Scientific paper
The aim of this paper is to propose a method for tagging named entities (NE), using natural language processing techniques. Beyond their literal meaning, named entities are frequently subject to metonymy. We show the limits of current NE type hierarchies and detail a new proposal aiming at dynamically capturing the semantics of entities in context. This model can analyze complex linguistic phenomena like metonymy, which are known to be difficult for natural language processing but crucial for most applications. We present an implementation and some test using the French ESTER corpus and give significant results.
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