This paper explores techniques that focus on understanding and resolving ambiguity in
language within the field of natural language processing (NLP), highlighting the complexity …

Word sense disambiguation (WSD) is determining the correct sense of an ambiguous word
from its surrounding context. It'sa fundamental problem in NLP that has wide-ranging effects …

I 'm very grateful to my advisor, Martha Palmer, for her constant care, encouragement and
great support during my PhD study. Her extended knowledge and keen appreciation of the …

In this position paper, we make several observations about the state of the art in automatic
word sense disambiguation. Motivated by these observations, we offer several specific …

Among medical applications of natural language processing (NLP), word sense
disambiguation (WSD) estimates alternative meanings from text around homonyms …

Ambiguity has been always interwoven with human language and its evolution. Some argue
that ambiguity of the human languages is a byproduct of its complexity, with words that are …

Abstract Word Sense Disambiguation is a longstanding task in Natural Language
Processing, lying at the core of human language understanding. However, the evaluation of …

The evaluation of several tasks in lexical semantics is often limited by the lack of large
amounts of manual annotations, not only for training purposes, but also for testing purposes …

Abstract Word Sense Disambiguation (WSD) is a key task in Natural Language Processing
(NLP), aiming to assign the correct meaning (sense) to a word in context. However …

In communication, textual data are a vital attribute. In all languages, ambiguous or
polysemous words' meaning changes depending on the context in which they are used. The …