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GlossExtractor: A Web Application to Automatically Create a Domain Glossary

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AI*IA 2007: Artificial Intelligence and Human-Oriented Computing (AI*IA 2007)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 4733))

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Abstract

We describe a web application, GlossExtractor, that receives in input the output of a terminology extraction web application, TermExtractor, or a user-provided terminology, and then searches several repositories (on-line glossaries, web documents, user-specified web pages) for sentences that are candidate definitions for each of the input terms. Candidate definitions are then filtered using statistical indicators and machine-learned regular patterns. Finally, the user can inspect the acquired definitions and perform an individual or group validation. The validated glossary is then downloaded in one of several formats.

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References

  • Androutsopoulos, I., Galanis, D.: A practically unupervised learning method to identify single-snippets answers to definition questions on the web. In: HLT-EMNLP 2005. Proc. of the Human Language Technology Conference, Vancouver, Canada (2005)

    Google Scholar 

  • Hearst, M.A.: Automatic acquisition of hyponyms from large text corpora. In: Proceedings of the 14th conference on Computational linguistics, Nantes, France (1992)

    Google Scholar 

  • Klavans, J., Muresan, S.: Text Mining Techniques for fully automatic Glossary Construction. In: Proc. of the HTL 2001 Conference, San Diego, CA (2001)

    Google Scholar 

  • Miliaraki, S., Androutsopoulos, I.: Learning to identify single-snippet answers to definition questions. In: Proceedings of COLING 2004, pp. 1360–1366 (2004)

    Google Scholar 

  • Ng, H.T., Kwan, J.L.P., Xia, Y.: Question answering using a large text database: A machine learning approach. In: Proceedings of EMNLP 2001, Pittsburgh, PA, pp. 67–73 (2001)

    Google Scholar 

  • Navigli, R., Velardi, P.: Learning Domain Ontologies from Document Warehouses and Dedicated Web Sites. Computational Linguistics 50(2) (2004)

    Google Scholar 

  • Sclano, F., Velardi, P.: TermExtractor: a Web Application to Learn the Shared Terminology of Emergent Web Communities. In: Proc. of 3rd I-ESA 2007, Madeira, March 28-30 (2007)

    Google Scholar 

  • Velardi, P., Cucchiarelli, A., Pétit, M.: A Taxonomy Learning Method and its Application to Characterize a Scientific Web Community. IEEE Transaction on Data and Knowledge Engineering (TDKE) 19(2), 180–191 (2007)

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Roberto Basili Maria Teresa Pazienza

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© 2007 Springer-Verlag Berlin Heidelberg

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Navigli, R., Velardi, P. (2007). GlossExtractor: A Web Application to Automatically Create a Domain Glossary. In: Basili, R., Pazienza, M.T. (eds) AI*IA 2007: Artificial Intelligence and Human-Oriented Computing. AI*IA 2007. Lecture Notes in Computer Science(), vol 4733. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-74782-6_30

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  • DOI: https://doi.org/10.1007/978-3-540-74782-6_30

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-74781-9

  • Online ISBN: 978-3-540-74782-6

  • eBook Packages: Computer ScienceComputer Science (R0)

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