Qsearch: Answering Quantity Queries from Text-Reference-Cited by-同舟云学术

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Qsearch: Answering Quantity Queries from Text

Published:2019 Issue: Volume: Page:237-257
ISSN:0302-9743
Container-title:Lecture Notes in Computer Science
language:
Short-container-title:

Author:

Ho Vinh Thinh,Ibrahim Yusra,Pal Koninika,Berberich Klaus,Weikum Gerhard

Publisher

Springer International Publishing

Link

http://link.springer.com/content/pdf/10.1007/978-3-030-30793-6_14

Reference44 articles.

1. Abujabal, A., Roy, R.S., Yahya, M., Weikum, G.: QUINT: interpretable question answering over knowledge bases. In: Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing, EMNLP 2017, Copenhagen, Denmark, 9–11 September 2017 - System Demonstrations, pp. 61–66 (2017)

2. Abujabal, A., Roy, R.S., Yahya, M., Weikum, G.: Never-ending learning for open-domain question answering over knowledge bases. In: Proceedings of the 2018 World Wide Web Conference on World Wide Web, WWW 2018, Lyon, France, 23–27 April 2018, pp. 1053–1062 (2018)

3. Alonso, O., Sellam, T.: Quantitative information extraction from social data. In: The 41st International ACM SIGIR Conference on Research & Development in Information Retrieval, SIGIR 2018, Ann Arbor, MI, USA, 08–12 July 2018, pp. 1005–1008 (2018)

4. Banerjee, S., Chakrabarti, S., Ramakrishnan, G.: Learning to rank for quantity consensus queries. In: Proceedings of the 32nd Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2009, Boston, MA, USA, 19–23 July 2009, pp. 243–250 (2009)

5. Bast, H., Haussmann E.: More accurate question answering on freebase. In: Proceedings of the 24th ACM International Conference on Information and Knowledge Management, CIKM 2015, Melbourne, VIC, Australia, 19–23 October 2015, pp. 1431–1440 (2015)

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