Christopher M. Stokoe
Abstract
A word in the English language is considered ambiguous if, regardless of context, it can have more than one possible interpretation or meaning. Many words exhibit lexical ambiguity suggesting that it has the potential to impact upon the performance of text retrieval systems. This may be particularly true in the case of web retrieval given the hypothesis that short queries may not provide sufficient context to adequately differentiate between opposing meanings of constituent words. Word sense disambiguation is an active field of study which seeks to create software which automatically resolves ambiguity through mapping word use to meaning. In this study the author examined the use of word sense disambiguation in order to resolve ambiguity within an IR collection. The motivation behind this work was to demonstrate the potential for increased retrieval effectiveness as a result of performing word sense disambiguation.
Index Terms
- Automated word sense disambiguation for web information retrieval
Recommendations
An unsupervised method for word sense disambiguation
AbstractWord sense disambiguation (WSD) finds the actual meaning of a word according to its context. 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 ...
Does word sense disambiguation improve information retrieval?
ESAIR '11: Proceedings of the fourth workshop on Exploiting semantic annotations in information retrievalA basic form of semantic annotation is to label a word in a document with its correct sense based on the context in which the word occurs, thus providing the disambiguated sense of the word. Performing this task automatically is known as word sense ...
A Sense Annotated Corpus for All-Words Urdu Word Sense Disambiguation
Word Sense Disambiguation (WSD) aims to automatically predict the correct sense of a word used in a given context. All human languages exhibit word sense ambiguity, and resolving this ambiguity can be difficult. Standard benchmark resources are required ...
Comments