Word Sense Disambiguation (WSD) is the task of identifying the intended sense of a word in a computational manner based on the context in which it appears. Understanding the ambiguity of natural languages is considered an AI-hard problem. Computational problems like this are the central objectives of Artificial Intelligence (AI) and Natural Language Processing (NLP) because they aim to solve the epistemological question of how the mind works. It has been studied since the beginning of NLP, and today is a central topic of this discipline.
|Data di pubblicazione:||2017|
|Titolo:||Transductive Learning Games for Word Sense Disambiguation|
|Titolo del libro:||Cognitive Approach to Natural Language Processing|
|Digital Object Identifier (DOI):||http://dx.doi.org/10.1016/B978-1-78548-253-3.50006-8|
|Appare nelle tipologie:||3.1 Articolo su libro|