Automatic question answering based on single document

Xiaodong Wang, Bei Xu, Hai Zhuge

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

Abstract

This paper proposes an approach to finding answers within single text for a given question through extracting a network of categories from Wikipedia as background knowledge to support matching between question and answer. Experiments show that the approach is effective for keyword-based QA.

Original languageEnglish
Title of host publicationProceedings - 2016 12th International Conference on Semantics, Knowledge and Grids, SKG 2016
EditorsHai Zhuge, Xiaoping Sun
Place of PublicationPiscataway, NJ (US)
PublisherIEEE
Pages90-96
Number of pages7
ISBN (Electronic)978-1-5090-4795-6
DOIs
Publication statusPublished - 11 Jan 2017
Event12th International Conference on Semantics, Knowledge and Grids, SKG 2016 - Beijing, China
Duration: 15 Aug 201617 Aug 2016

Conference

Conference12th International Conference on Semantics, Knowledge and Grids, SKG 2016
CountryChina
CityBeijing
Period15/08/1617/08/16

Fingerprint

Experiments

Bibliographical note

-

Keywords

  • category
  • question answering
  • Wikipedia

Cite this

Wang, X., Xu, B., & Zhuge, H. (2017). Automatic question answering based on single document. In H. Zhuge, & X. Sun (Eds.), Proceedings - 2016 12th International Conference on Semantics, Knowledge and Grids, SKG 2016 (pp. 90-96). [7815082] Piscataway, NJ (US): IEEE. https://doi.org/10.1109/SKG.2016.021
Wang, Xiaodong ; Xu, Bei ; Zhuge, Hai. / Automatic question answering based on single document. Proceedings - 2016 12th International Conference on Semantics, Knowledge and Grids, SKG 2016. editor / Hai Zhuge ; Xiaoping Sun. Piscataway, NJ (US) : IEEE, 2017. pp. 90-96
@inproceedings{9b3e844c4c9a47a78d56bbfdfc4aff1f,
title = "Automatic question answering based on single document",
abstract = "This paper proposes an approach to finding answers within single text for a given question through extracting a network of categories from Wikipedia as background knowledge to support matching between question and answer. Experiments show that the approach is effective for keyword-based QA.",
keywords = "category, question answering, Wikipedia",
author = "Xiaodong Wang and Bei Xu and Hai Zhuge",
note = "-",
year = "2017",
month = "1",
day = "11",
doi = "10.1109/SKG.2016.021",
language = "English",
pages = "90--96",
editor = "Hai Zhuge and Xiaoping Sun",
booktitle = "Proceedings - 2016 12th International Conference on Semantics, Knowledge and Grids, SKG 2016",
publisher = "IEEE",
address = "United States",

}

Wang, X, Xu, B & Zhuge, H 2017, Automatic question answering based on single document. in H Zhuge & X Sun (eds), Proceedings - 2016 12th International Conference on Semantics, Knowledge and Grids, SKG 2016., 7815082, IEEE, Piscataway, NJ (US), pp. 90-96, 12th International Conference on Semantics, Knowledge and Grids, SKG 2016, Beijing, China, 15/08/16. https://doi.org/10.1109/SKG.2016.021

Automatic question answering based on single document. / Wang, Xiaodong; Xu, Bei; Zhuge, Hai.

Proceedings - 2016 12th International Conference on Semantics, Knowledge and Grids, SKG 2016. ed. / Hai Zhuge; Xiaoping Sun. Piscataway, NJ (US) : IEEE, 2017. p. 90-96 7815082.

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

TY - GEN

T1 - Automatic question answering based on single document

AU - Wang, Xiaodong

AU - Xu, Bei

AU - Zhuge, Hai

N1 - -

PY - 2017/1/11

Y1 - 2017/1/11

N2 - This paper proposes an approach to finding answers within single text for a given question through extracting a network of categories from Wikipedia as background knowledge to support matching between question and answer. Experiments show that the approach is effective for keyword-based QA.

AB - This paper proposes an approach to finding answers within single text for a given question through extracting a network of categories from Wikipedia as background knowledge to support matching between question and answer. Experiments show that the approach is effective for keyword-based QA.

KW - category

KW - question answering

KW - Wikipedia

UR - http://ieeexplore.ieee.org/document/7815082/

UR - http://www.scopus.com/inward/record.url?scp=85013306198&partnerID=8YFLogxK

U2 - 10.1109/SKG.2016.021

DO - 10.1109/SKG.2016.021

M3 - Conference contribution

AN - SCOPUS:85013306198

SP - 90

EP - 96

BT - Proceedings - 2016 12th International Conference on Semantics, Knowledge and Grids, SKG 2016

A2 - Zhuge, Hai

A2 - Sun, Xiaoping

PB - IEEE

CY - Piscataway, NJ (US)

ER -

Wang X, Xu B, Zhuge H. Automatic question answering based on single document. In Zhuge H, Sun X, editors, Proceedings - 2016 12th International Conference on Semantics, Knowledge and Grids, SKG 2016. Piscataway, NJ (US): IEEE. 2017. p. 90-96. 7815082 https://doi.org/10.1109/SKG.2016.021