Domain Driven Word Sense Disambiguation

Abstract

Many times people use a single word with multiple senses, which provides a different meaning based on the sentence in which it has been used. So, the main goal of the work is to disambiguate an ambiguous word that has been located in certain sentences. Thus, it helps in exploring the actual sense of the word that it means. This process is itself named as Word Sense Disambiguation (WSD) which is an essential and on-going subject in NLP. However, the role of domain is very helpful in exploring the actual sense of an ambiguous word. There are a number of approaches to WSD which takes a wider semantic space of ambiguous words into account [10]. This semantic space can be represented as a specific domain, task or application [10]. The domain information which is one among them is more advantageous in the process of disambiguation, thus, the work explores the role of the domain in the disambiguation process. The work also includes a score allotment to all the senses of an ambiguous word based on the semantic relation of it with the ambiguous word. Later, this helps in obtaining the actual sense of the word.