Using Vector Space Model in Question Answering System-Reference-Cited by-同舟云学术

Using Vector Space Model in Question Answering System

Published:2015 Issue: Volume:59 Page:305-311
ISSN:1877-0509
Container-title:Procedia Computer Science
language:en
Short-container-title:Procedia Computer Science

Author:

Jovita ,Linda ,Hartawan Andrei,Suhartono Derwin

Publisher

Elsevier BV

Subject

General Engineering

Reference10 articles.

1. James Pustejovsky and Amber Stubbs. Natural Language Annotation for Machine Learning. Beijing: O’Reilly. 2012.

2. Ellen Riloff and Michael Thelen. A Rule-based Question Answering System for Reading Comprehension Tests. Proceeding ANLP/NAACL-ReadingComp ‘00 Proceedings of the 2000 ANLP/NAACL Workshop on Reading comprehension tests as evaluation for computer-based language understanding systems, Volume 6, Pages 13-19. 2000.

3. Eric Brill, Susan Dumais and Michele Banko. An Analysis of the AskMSR Question-Answering System. Proceedings of 2002 Conference on Empirical Methods in Natural Language Processing (EMNLP). 2002.

4. Bayan Abu Shawar and Eric Atwell. Using Dialogue Corpora to Train a Chatbot. In: Archer, D., Rayson, P., Wilson, A., McEnery, T. (eds.) Proceedings of the Corpus Linguistics 2003 Conference, pp. 681-690. Lancaster University. 2003.

5. Tiansi Dong, Ingo Glockner, Ulrich Furbach, and Bjorn Pelzer. A Natural Language Question Answering System as a Participant in Human Q&A Portals. Proceedings of the Twenty-Second International Joint Conference on Artificial Intelligence, pp. 2430-2435. 2011.

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