This paper proposes an algorithm which modifies the above two parameters by computing intersection using not only the glosses but also by including the related ...

Oct 1, 2019 · In this paper, we explore different strategies of integrating pre-trained contextualized word representations and our best strategy achieves ...

In this paper, we explore different strategies of integrating pre-trained contextualized word representations and our best strategy achieves accuracies ...

The task of word sense disambiguation requires finding out the similarity between the target word (word to be disambiguated) and the nearby words (words ...

Nov 27, 2023 · Extensive experiments show that our method translates ambiguous source words better than strong sentence-level baselines and comparable document ...

To improve word sense disambiguation in neural machine translation, we experiment with two methods to integrate sense em- beddings. In a first approach we pass.

This paper presents a novel WSD method to find the correct sense of a word present in a sentence. The proposed method uses both the WordNet lexical dictionary ...

The proposed approach incorporates more parameters for calculating similarity, which has not been attempted by any of the previous approaches. It scores the ...

A Research paper was proposed by Pradeep Sachdeva 2014, “An Improved Approach to. Word Sense Disambiguation” [1]. The problem: Improvement of the Previous ...

This iterative process allows us to identify, in the original text, a set of words which can be disambiguated with high precision;. 55% of the verbs and nouns ...