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Knowledge Extraction for Question Titling

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Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 7022))

Abstract

This article describes the work performed over the database of questions belonging to the different opinion polls carried during the last 50 years in Spain. Approximately half of the questions are provided with a title while the other half remain untitled. The work and implemented techniques in order to automatically generate the titles for untitled questions are described. This process is performed over very short texts and generated titles are subject to strong stylistic conventions and should be fully grammatical pieces of Spanish.

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References

  1. Kupiec, J., Pedersen, J.O., Chen, F.: A trainable document summarizer. In: Proceedings of SIGIR-1995, Seattle, WA, pp. 68–73 (1995)

    Google Scholar 

  2. Brandow, R., Mitze, K., Rau, L.F.: Automatic condensation of electronic publications by sentence selection. Information Processing and Management 31(5), 675–686 (1995)

    Article  Google Scholar 

  3. Lin, C., Hovy, E.: Identifying topics by position. In: Proceedings of the Fifth Conference on Applied Natural Language Processing (ANLP–1997), pp. 283–290 (1997)

    Google Scholar 

  4. Osborne, M.: Using maximum entropy for sentence extraction. In: Proceedings of the Acl-2002 Workshop on Automatic Summarization, vol. 4 (2002)

    Google Scholar 

  5. Tseng, Y.-H., Lin, C.-J., Chen, H.-H., Lin, Y.-I.: Toward Generic Title Generation for Clustered Documents. In: Ng, H.T., Leong, M.-K., Kan, M.-Y., Ji, D. (eds.) AIRS 2006. LNCS, vol. 4182, pp. 145–157. Springer, Heidelberg (2006)

    Chapter  Google Scholar 

  6. Kong, S.-y., Wang, C.-c., Kuo, K.-c., Lee, L.-s.: Automatic Title Generation for Chinese Spoken Documents with a delicate scored Viterbi algorithm. In: Spoken Language Technology Workshop, pp. 165–168. IEEE, Los Alamitos (2008)

    Google Scholar 

  7. Radev, D.R., McKeown, K.: Generating Natural Language Summaries from Multiple On-Line Sources. Computational Linguistics 24(3), 469–500 (1998)

    Google Scholar 

  8. Tucker, R.I., Sparck Jones, K.: Between shallow and deep: An experiment in automatic summarising, Technical Report 632, Computer Laboratory, University of Cambridge (2005)

    Google Scholar 

  9. Saggion, H., Lapalme, G.: Generating informative-indicative summaries with SumUM. Computational Linguistics 28(4), 497–526 (2002)

    Article  Google Scholar 

  10. Hahn, U., Reimer, U.: Knowledge-based text summarisation: Salience and generalisation for knowledge base abstraction. In: Mani, Maybury (eds.) Advances in Automatic Text Summarisation, pp. 215–222. MIT Press, Cambridge (1999)

    Google Scholar 

  11. Spärck Jones, K.: Automatic summarising: The state of the art. Information Processing and Management 43, 1449–1481 (2007)

    Article  Google Scholar 

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© 2011 Springer-Verlag Berlin Heidelberg

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Gallardo Pérez, C., Cardeñosa, J. (2011). Knowledge Extraction for Question Titling. In: Christiansen, H., De Tré, G., Yazici, A., Zadrozny, S., Andreasen, T., Larsen, H.L. (eds) Flexible Query Answering Systems. FQAS 2011. Lecture Notes in Computer Science(), vol 7022. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-24764-4_11

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  • DOI: https://doi.org/10.1007/978-3-642-24764-4_11

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-24763-7

  • Online ISBN: 978-3-642-24764-4

  • eBook Packages: Computer ScienceComputer Science (R0)

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