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Does word sense disambiguation improve information retrieval?

Author:

Hwee Tou NgAuthors Info & Claims

ESAIR '11: Proceedings of the fourth workshop on Exploiting semantic annotations in information retrieval

Pages 17 - 18

https://doi.org/10.1145/2064713.2064724

Published: 28 October 2011 Publication History

Abstract

A 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 disambiguation, which has been extensively studied in the natural language processing literature. Will semantic annotation of word senses improve information retrieval? This paper provides some thoughts on this question, which lies at the intersection of natural language processing and information retrieval.

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Cited By

Hristea FColhon M(2020)The long road from performing word sense disambiguation to successfully using it in information retrieval: An overview of the unsupervised approachComputational Intelligence10.1111/coin.1230336:3(1026-1062)Online publication date: 22-Mar-2020
https://doi.org/10.1111/coin.12303
Pal ASaha DDash NNaskar SPal A(2019)A novel approach to word sense disambiguation in Bengali language using supervised methodologySādhanā10.1007/s12046-019-1165-244:8Online publication date: 17-Jul-2019
https://doi.org/10.1007/s12046-019-1165-2
Ben Aouicha MHadj Taieb MIbn Marai H(2018)WordNet and Wiktionary-Based Approach for Word Sense DisambiguationTransactions on Computational Collective Intelligence XXIX10.1007/978-3-319-90287-6_7(123-143)Online publication date: 21-Apr-2018
https://doi.org/10.1007/978-3-319-90287-6_7
Show More Cited By

Index Terms

Does word sense disambiguation improve information retrieval?
1. Computing methodologies
  1. Artificial intelligence
    1. Natural language processing
2. Information systems
  1. Information retrieval

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cover image ACM Conferences

ESAIR '11: Proceedings of the fourth workshop on Exploiting semantic annotations in information retrieval

October 2011

36 pages

ISBN:9781450309585

DOI:10.1145/2064713

General Chairs:
Omar Alonso
Microsoft, USA
,
Jaap Kamps
University of Amsterdam, The Netherlands
,
Jussi Karlgren
Swedish Institute of Computer Science, Sweden

Copyright © 2011 Author.

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 28 October 2011

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CIKM '11: International Conference on Information and Knowledge Management

October 28, 2011

Glasgow, Scotland, UK

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Cited By

Hristea FColhon M(2020)The long road from performing word sense disambiguation to successfully using it in information retrieval: An overview of the unsupervised approachComputational Intelligence10.1111/coin.1230336:3(1026-1062)Online publication date: 22-Mar-2020
https://doi.org/10.1111/coin.12303
Pal ASaha DDash NNaskar SPal A(2019)A novel approach to word sense disambiguation in Bengali language using supervised methodologySādhanā10.1007/s12046-019-1165-244:8Online publication date: 17-Jul-2019
https://doi.org/10.1007/s12046-019-1165-2
Ben Aouicha MHadj Taieb MIbn Marai H(2018)WordNet and Wiktionary-Based Approach for Word Sense DisambiguationTransactions on Computational Collective Intelligence XXIX10.1007/978-3-319-90287-6_7(123-143)Online publication date: 21-Apr-2018
https://doi.org/10.1007/978-3-319-90287-6_7
Tiun SZakr HMohd MAbidin NHisham A(2013)Word Sense Disambiguation for English Quranic IR System2013 Taibah University International Conference on Advances in Information Technology for the Holy Quran and Its Sciences10.1109/NOORIC.2013.49(199-202)Online publication date: Dec-2013
https://doi.org/10.1109/NOORIC.2013.49
Alonso OKamps JKarlgren J(2012)Report on the fourth workshop on exploiting semantic annotations in information retrieval (ESAIR'11)ACM SIGIR Forum10.1145/2215676.221568246:1(56-64)Online publication date: 20-May-2012
https://dl.acm.org/doi/10.1145/2215676.2215682

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