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Towards diagnosing ambiguity of candidate terms

Gaël Lejeune 1 Béatrice Daille 1
1 TALN
LINA - Laboratoire d'Informatique de Nantes Atlantique
Abstract : Researches in the field of Word Sense Disambiguation focus on identifying the precise meaning of a lexical unit found in a text. This article tackles another kind of problem : assessing the ambiguity of a lexical unit. In other words, we try to identify if a particular unit is ambiguous or not, we define this task as ambiguity diagnosis. Our evaluation dataset contains scientific articles where ambiguous words have been tagged by experts. In order to give an ambiguity diagnosis for each term, we use two types of features : POS tags and positions in the text. We show that the position of an occurrence in the text is a strong hint for such a task.
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Submitted on : Tuesday, June 30, 2015 - 4:26:32 PM
Last modification on : Thursday, January 20, 2022 - 5:28:06 PM
Long-term archiving on: : Tuesday, April 25, 2017 - 8:34:30 PM

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  • HAL Id : hal-01169996, version 1

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Gaël Lejeune, Béatrice Daille. Towards diagnosing ambiguity of candidate terms. Traitement Automatique des Langues Naturelles 2015, Jun 2015, Caen, France. ⟨hal-01169996⟩

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