Lexical-Semantic Methods for Language Understanding

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Teaching Staff

Please contact Dr. Torsten Zesch or Christian M. Meyer for any organizational issues.

Organization

     

  • Lecture: Thursday 09:50-11:30, Room S103/313
  • Practice class: Thursday 11:40-13:20 Room S103/125
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Please register for the lecture in the WebReg system.

The learning material is available from the Moodle eLeaning platform.
The required passcode will be distributed during the lecture.

Exams

     

  • 19.07.2010
  • S202/C120
  • 11:00 - 13:00
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Course content

Algorithms for analysing the meaning of words in documents are of crucial importance for a wide range of applications including information retrieval, automatic summarization, or automatic keyphrase extraction. The lecture puts a special focus on the resoures used to provide knowledge for these algorithms. Besides classical semantic wordnets like Princeton WordNet, the lecture also introduces emerging Web 2.0 resources like Wikipedia and Wiktionary.

     

  • Introducation to Natural Language Processing and Lexical-Semantics
  • Lexical-Semantic Resources
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    • WordNet
    • Wikipedia
    • Wiktionary
    • Other resources (thesauri, semantic networks, ontologies)
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  • Lexical-semantic methods
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    • Semantic Relatedness
    • Text Similarity
    • Word Sense Disambiguation
    • Paraphrase Recognition
    • Named Entity Recognition
    • Keyphrase Extraction
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Core Literature

     

  • Daniel Jurafsky, James H. Martin. Speech and Language Processing (2nd Edition). Prentice Hall. ISBN-13: 978-0131873216
  • Ruslan Mitkov (Ed.). The Oxford Handbook of Computational Linguistics. Oxford University Press. 2005. ISBN-13: 978-0199276349
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Other Relevant Literature

     

  • Kai-Uwe Carstensen, Christian Ebert, Cornelia Endriss, Susanne Jekat, Ralf Klabunde, Computerlinguistik und Sprachtechnologie. Eine Einführung, Heidelberg: Spektrum-Verlag, März 2004. (2. Auflage) ISBN 3827414075
  • D.A. Cruse. Lexical Semantics. Cambridge University Press, 1986. ISBN 0-521-27643-8
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