Semantically factoid question answering using fuzzy SVM named entity recognition

Alireza Mansouri, Lilly Suriani Affendey, Ali Mamat, Abdul Kadir Rabiah

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Citations (Scopus)

Abstract

Named Entity Recognition (NER) and Question Answering (QA) are fundamental tasks and they are the cores of natural language processing (NLP) system. NER, a sub problem of Information Extraction (IE), involves recognizing and extracting name entities like Persons, Locations, Organizations, Dates and Times from electronics resources and text. Question Answering (QA) is a type of Information Retrieval (IR), attempts to deal with a wide range of question. In this paper we propose a semantically Factoid Question Answering model using Fuzzy Support Vector Machine Named Entity Recognizer component called FSVM. In this model we applied the FSVM NE recognizer to filter Question Answering system results have token by IR and return exact expect result to the user. This paper shows how the Fuzzy NER can applied in information retrieval (IR) systems in applications like Question Answering (QA). We show a model to improve precision in QA by semantically NER and reducing Answer Finder input data.

Original languageEnglish
Title of host publicationProceedings - International Symposium on Information Technology 2008, ITSim
Volume2
DOIs
Publication statusPublished - 2008
Externally publishedYes
EventInternational Symposium on Information Technology 2008, ITSim - Kuala Lumpur
Duration: 26 Aug 200829 Aug 2008

Other

OtherInternational Symposium on Information Technology 2008, ITSim
CityKuala Lumpur
Period26/8/0829/8/08

Fingerprint

Information retrieval
Natural language processing systems
Information retrieval systems
Support vector machines
Electronic equipment

ASJC Scopus subject areas

  • Artificial Intelligence
  • Information Systems
  • Control and Systems Engineering
  • Electrical and Electronic Engineering

Cite this

Mansouri, A., Affendey, L. S., Mamat, A., & Rabiah, A. K. (2008). Semantically factoid question answering using fuzzy SVM named entity recognition. In Proceedings - International Symposium on Information Technology 2008, ITSim (Vol. 2). [4631684] https://doi.org/10.1109/ITSIM.2008.4631684

Semantically factoid question answering using fuzzy SVM named entity recognition. / Mansouri, Alireza; Affendey, Lilly Suriani; Mamat, Ali; Rabiah, Abdul Kadir.

Proceedings - International Symposium on Information Technology 2008, ITSim. Vol. 2 2008. 4631684.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Mansouri, A, Affendey, LS, Mamat, A & Rabiah, AK 2008, Semantically factoid question answering using fuzzy SVM named entity recognition. in Proceedings - International Symposium on Information Technology 2008, ITSim. vol. 2, 4631684, International Symposium on Information Technology 2008, ITSim, Kuala Lumpur, 26/8/08. https://doi.org/10.1109/ITSIM.2008.4631684
Mansouri A, Affendey LS, Mamat A, Rabiah AK. Semantically factoid question answering using fuzzy SVM named entity recognition. In Proceedings - International Symposium on Information Technology 2008, ITSim. Vol. 2. 2008. 4631684 https://doi.org/10.1109/ITSIM.2008.4631684
Mansouri, Alireza ; Affendey, Lilly Suriani ; Mamat, Ali ; Rabiah, Abdul Kadir. / Semantically factoid question answering using fuzzy SVM named entity recognition. Proceedings - International Symposium on Information Technology 2008, ITSim. Vol. 2 2008.
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