Dec 28, 2012 · The method we develop is based on Naïve Bayes classification and can be used both as a filtering and as a re-ranking technique. We show on the ...
The method we develop is based on Naıve Bayes classification and can be used both as a filtering and as a re-ranking technique. We show on the TREC ad-hoc ...
May 5, 2024 · Several interdisciplinary approaches try to improve the quality of the results obtained by an IR system. In this paper we propose a new way of ...
We show on the TREC ad-hoc collection that WSD is useful in the case of queries which are difficult due to sense ambiguity. Our interest regards improving the ...
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Oct 22, 2024 · Word Sense Disambiguation is the process of identifying accurate meaning of a polysemous words given in a context. The paper proposes a ...
Word sense ambiguity has been identified as a cause of poor precision in information retrieval (IR) systems. Word sense disambiguation and discrimination ...
WSD algorithms can utilize context clues such as surrounding words or phrases to determine the most appropriate meaning of an ambiguous word. Successful word ...
With disambiguation at 90% accuracy, performance is similar to that of the ambiguous collection, although a small improvement can be seen for retrievals based ...
Abstract. Word sense ambiguity is recognized as having a detrimental effect on the precision of information retrieval systems in general and web search systems ...
Word-sense disambiguation is the process of identifying which sense of a word is meant in a sentence or other segment of context.