Question answering (English Wikipedia)

Analysis of information sources in references of the Wikipedia article "Question answering" in English language version.

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9doi.org

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7arxiv.org

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aaai.org

Light, Marc, et al. "Reuse in Question Answering: A Preliminary Study." New Directions in Question Answering. 2003.
de Salvo Braz, Rodrigo, et al. "An inference model for semantic entailment in natural language." Machine Learning Challenges Workshop. Springer, Berlin, Heidelberg, 2005.

aclweb.org

Sun, Haitian; Dhingra, Bhuwan; Zaheer, Manzil; Mazaitis, Kathryn; Salakhutdinov, Ruslan; Cohen, William (2018). "Open Domain Question Answering Using Early Fusion of Knowledge Bases and Text". Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing. Brussels, Belgium. pp. 4231–4242. arXiv:1809.00782. doi:10.18653/v1/D18-1455. S2CID 52154304.{{cite book}}: CS1 maint: location missing publisher (link)
Harabagiu, Sanda; Hickl, Andrew (2006). "Methods for using textual entailment in open-domain question answering". Proceedings of the 21st International Conference on Computational Linguistics and the 44th annual meeting of the ACL - ACL '06. pp. 905–912. doi:10.3115/1220175.1220289.
Yih, Wen-tau, Xiaodong He, and Christopher Meek. "Semantic parsing for single-relation question answering." Proceedings of the 52nd Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers). 2014.

anthology.aclweb.org

Moldovan, Dan, et al. "Cogex: A logic prover for question answering." Proceedings of the 2003 Conference of the North American Chapter of the Association for Computational Linguistics on Human Language Technology-Volume 1. Association for Computational Linguistics, 2003.

arxiv.org

Chen, Danqi; Fisch, Adam; Weston, Jason; Bordes, Antoine (2017). "Reading Wikipedia to Answer Open-Domain Questions". arXiv:1704.00051 [cs.CL].
Raffel, Colin; Shazeer, Noam; Roberts, Adam; Lee, Katherine; Narang, Sharan; Matena, Michael; Zhou, Yanqi; Li, Wei; Liu, Peter J. (2019). "Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer". arXiv:1910.10683 [cs.LG].
Lewis, Mike; Liu, Yinhan; Goyal, Naman; Ghazvininejad, Marjan; Mohamed, Abdelrahman; Levy, Omer; Stoyanov, Ves; Zettlemoyer, Luke (2019). "BART: Denoising Sequence-to-Sequence Pre-training for Natural Language Generation, Translation, and Comprehension". arXiv:1910.13461 [cs.CL].
Sun, Haitian; Dhingra, Bhuwan; Zaheer, Manzil; Mazaitis, Kathryn; Salakhutdinov, Ruslan; Cohen, William (2018). "Open Domain Question Answering Using Early Fusion of Knowledge Bases and Text". Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing. Brussels, Belgium. pp. 4231–4242. arXiv:1809.00782. doi:10.18653/v1/D18-1455. S2CID 52154304.{{cite book}}: CS1 maint: location missing publisher (link)
Moritz Schubotz; Philipp Scharpf; et al. (12 September 2018). "Introducing MathQA: a Math-Aware question answering system". Information Discovery and Delivery. 46 (4). Emerald Publishing Limited: 214–224. arXiv:1907.01642. doi:10.1108/IDD-06-2018-0022.
Scharpf, Philipp; Schubotz, Moritz; Spitz, Andreas; Greiner-Petter, Andre; Gipp, Bela (2022). "Collaborative and AI-aided Exam Question Generation using Wikidata in Education". arXiv:2211.08361. doi:10.13140/RG.2.2.30988.18568. S2CID 253270181. {{cite journal}}: Cite journal requires |journal= (help)
Zhu, Linchao; Xu, Zhongwen; Yang, Yi; Hauptmann, Alexander G. (2015). "Uncovering Temporal Context for Video Question and Answering". arXiv:1511.04670 [cs.CV].

books.google.com

Philipp Cimiano; Christina Unger; John McCrae (1 March 2014). Ontology-Based Interpretation of Natural Language. Morgan & Claypool Publishers. ISBN 978-1-60845-990-2.

cambridge.org

journals.cambridge.org

Hirschman, L. & Gaizauskas, R. (2001) Natural Language Question Answering. The View from Here. Natural Language Engineering (2001), 7:4:275-300 Cambridge University Press.

deepset.ai

docs.haystack.deepset.ai

"Haystack documentation". deepset. Retrieved 4 November 2022.

doi.org

Sun, Haitian; Dhingra, Bhuwan; Zaheer, Manzil; Mazaitis, Kathryn; Salakhutdinov, Ruslan; Cohen, William (2018). "Open Domain Question Answering Using Early Fusion of Knowledge Bases and Text". Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing. Brussels, Belgium. pp. 4231–4242. arXiv:1809.00782. doi:10.18653/v1/D18-1455. S2CID 52154304.{{cite book}}: CS1 maint: location missing publisher (link)
Harabagiu, Sanda; Hickl, Andrew (2006). "Methods for using textual entailment in open-domain question answering". Proceedings of the 21st International Conference on Computational Linguistics and the 44th annual meeting of the ACL - ACL '06. pp. 905–912. doi:10.3115/1220175.1220289.
Moritz Schubotz; Philipp Scharpf; et al. (12 September 2018). "Introducing MathQA: a Math-Aware question answering system". Information Discovery and Delivery. 46 (4). Emerald Publishing Limited: 214–224. arXiv:1907.01642. doi:10.1108/IDD-06-2018-0022.
Zanibbi, Richard; Oard, Douglas W.; Agarwal, Anurag; Mansouri, Behrooz (2020), "Overview of ARQMath 2020: CLEF Lab on Answer Retrieval for Questions on Math", Experimental IR Meets Multilinguality, Multimodality, and Interaction, Lecture Notes in Computer Science, vol. 12260, Cham: Springer International Publishing, pp. 169–193, doi:10.1007/978-3-030-58219-7_15, ISBN 978-3-030-58218-0, S2CID 221351064, retrieved 2021-06-09
Mansouri, Behrooz; Zanibbi, Richard; Oard, Douglas W. (June 2019). "Characterizing Searches for Mathematical Concepts". 2019 ACM/IEEE Joint Conference on Digital Libraries (JCDL). IEEE. pp. 57–66. doi:10.1109/jcdl.2019.00019. ISBN 978-1-7281-1547-4. S2CID 198972305.
Scharpf, Philipp; Schubotz, Moritz; Spitz, Andreas; Greiner-Petter, Andre; Gipp, Bela (2022). "Collaborative and AI-aided Exam Question Generation using Wikidata in Education". arXiv:2211.08361. doi:10.13140/RG.2.2.30988.18568. S2CID 253270181. {{cite journal}}: Cite journal requires |journal= (help)
Paşca, Marius (2005). "Book Review New Directions in Question Answering Mark T. Maybury (editor) (MITRE Corporation) Menlo Park, CA: AAAI Press and Cambridge, MA: The MIT Press, 2004, xi+336 pp; paperbound, ISBN 0-262-63304-3, $40.00, £25.95". Computational Linguistics. 31 (3): 413–417. doi:10.1162/089120105774321055. S2CID 12705839.

dx.doi.org

Zanibbi, Richard; Oard, Douglas W.; Agarwal, Anurag; Mansouri, Behrooz (2020), "Overview of ARQMath 2020: CLEF Lab on Answer Retrieval for Questions on Math", Experimental IR Meets Multilinguality, Multimodality, and Interaction, Lecture Notes in Computer Science, vol. 12260, Cham: Springer International Publishing, pp. 169–193, doi:10.1007/978-3-030-58219-7_15, ISBN 978-3-030-58218-0, S2CID 221351064, retrieved 2021-06-09
Mansouri, Behrooz; Zanibbi, Richard; Oard, Douglas W. (June 2019). "Characterizing Searches for Mathematical Concepts". 2019 ACM/IEEE Joint Conference on Digital Libraries (JCDL). IEEE. pp. 57–66. doi:10.1109/jcdl.2019.00019. ISBN 978-1-7281-1547-4. S2CID 198972305.

fb.com

research.fb.com

"DrQA".

gipp.com

Scharpf, P. Schubotz, M. Gipp, B. Mining Mathematical Documents for Question Answering via Unsupervised Formula Labeling ACM/IEEE Joint Conference on Digital Libraries, 2022.

hesge.ch

candy.hesge.ch

"EAGLi platform - Question Answering in MEDLINE". candy.hesge.ch. Retrieved 2021-12-02.

nytimes.com

Markoff, John (2011-02-16). "On 'Jeopardy!' Watson Win is All but Trivial". The New York Times.

oreilly.com

Tunstall, Lewis (5 July 2022). Natural Language Processing with Transformers: Building Language Applications with Hugging Face (2nd ed.). O'Reilly UK Ltd. p. Chapter 7. ISBN 978-1098136796.

psu.edu

citeseerx.ist.psu.edu

Roser Morante, Martin Krallinger, Alfonso Valencia and Walter Daelemans. Machine Reading of Biomedical Texts about Alzheimer's Disease. CLEF 2012 Evaluation Labs and Workshop. September 17, 2012
Lin, J. (2002). The Web as a Resource for Question Answering: Perspectives and Challenges. In Proceedings of the Third International Conference on Language Resources and Evaluation (LREC 2002).

researchgate.net

Quarteroni, Silvia, and Suresh Manandhar. "Designing an interactive open-domain question answering system." Natural Language Engineering 15.1 (2009): 73–95.

rivinduperera.com

Perera, R. and Perera, U. 2012. Towards a thematic role based target identification model for question answering. Archived 2016-03-04 at the Wayback Machine

semanticscholar.org

api.semanticscholar.org

Sun, Haitian; Dhingra, Bhuwan; Zaheer, Manzil; Mazaitis, Kathryn; Salakhutdinov, Ruslan; Cohen, William (2018). "Open Domain Question Answering Using Early Fusion of Knowledge Bases and Text". Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing. Brussels, Belgium. pp. 4231–4242. arXiv:1809.00782. doi:10.18653/v1/D18-1455. S2CID 52154304.{{cite book}}: CS1 maint: location missing publisher (link)
Zanibbi, Richard; Oard, Douglas W.; Agarwal, Anurag; Mansouri, Behrooz (2020), "Overview of ARQMath 2020: CLEF Lab on Answer Retrieval for Questions on Math", Experimental IR Meets Multilinguality, Multimodality, and Interaction, Lecture Notes in Computer Science, vol. 12260, Cham: Springer International Publishing, pp. 169–193, doi:10.1007/978-3-030-58219-7_15, ISBN 978-3-030-58218-0, S2CID 221351064, retrieved 2021-06-09
Mansouri, Behrooz; Zanibbi, Richard; Oard, Douglas W. (June 2019). "Characterizing Searches for Mathematical Concepts". 2019 ACM/IEEE Joint Conference on Digital Libraries (JCDL). IEEE. pp. 57–66. doi:10.1109/jcdl.2019.00019. ISBN 978-1-7281-1547-4. S2CID 198972305.
Scharpf, Philipp; Schubotz, Moritz; Spitz, Andreas; Greiner-Petter, Andre; Gipp, Bela (2022). "Collaborative and AI-aided Exam Question Generation using Wikidata in Education". arXiv:2211.08361. doi:10.13140/RG.2.2.30988.18568. S2CID 253270181. {{cite journal}}: Cite journal requires |journal= (help)
Paşca, Marius (2005). "Book Review New Directions in Question Answering Mark T. Maybury (editor) (MITRE Corporation) Menlo Park, CA: AAAI Press and Cambridge, MA: The MIT Press, 2004, xi+336 pp; paperbound, ISBN 0-262-63304-3, $40.00, £25.95". Computational Linguistics. 31 (3): 413–417. doi:10.1162/089120105774321055. S2CID 12705839.

springer.com

link.springer.com

Perera, R., Nand, P. and Naeem, A. 2017. Utilizing typed dependency subtree patterns for answer sentence generation in question answering systems.

stanford.edu

web.stanford.edu

GREEN JR, Bert F; et al. (1961). "Baseball: an automatic question-answerer" (PDF). Western Joint IRE-AIEE-ACM Computer Conference: 219–224.

thecvf.com

openaccess.thecvf.com

Anderson, Peter, et al. "Bottom-up and top-down attention for image captioning and visual question answering." Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition. 2018.
Das, Abhishek, et al. "Embodied question answering." Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition. 2018.

web.archive.org

Furbach, Ulrich, Ingo Glöckner, and Björn Pelzer. "An application of automated reasoning in natural language question answering." Ai Communications 23.2-3 (2010): 241–265.
"BitCrawl by Hobson Lane". Archived from the original on October 27, 2012. Retrieved 2012-05-29.{{cite web}}: CS1 maint: bot: original URL status unknown (link)
Perera, R. and Perera, U. 2012. Towards a thematic role based target identification model for question answering. Archived 2016-03-04 at the Wayback Machine

worldcat.org

Scharpf; et al. (2020-12-04). ARQMath Lab: An Incubator for Semantic Formula Search in zbMATH Open?. OCLC 1228449497.

search.worldcat.org

Scharpf; et al. (2020-12-04). ARQMath Lab: An Incubator for Semantic Formula Search in zbMATH Open?. OCLC 1228449497.