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Dependency Parsing and Dialogue Systems: an investigation of dependency parsing for commercial application
Uppsala University, Disciplinary Domain of Humanities and Social Sciences, Faculty of Languages, Department of Linguistics and Philology.
2017 (English)Independent thesis Advanced level (degree of Master (Two Years)), 20 credits / 30 HE creditsStudent thesis
Abstract [en]

In this thesis, we investigate dependency parsing for commercial application, namely for future integration in a dialogue system. To do this, we conduct several experiments on dialogue data to assess parser performance on this domain, and to improve this performance over a baseline. This work makes the following contributions: first, the creation and manual annotation of a gold-standard data set for dialogue data; second, a thorough error analysis of the data set, comparing neural network parsing to traditional parsing methods on this domain; and finally, various domain adaptation experiments show how parsing on this data set can be improved over a baseline.  We further show that dialogue data is characterized by questions in particular, and suggest a method for improving overall parsing on these constructions. 

Place, publisher, year, edition, pages
2017. , p. 51
Keywords [en]
dependency parsing, dialogue systems, error analysis
National Category
Language Technology (Computational Linguistics)
Identifiers
URN: urn:nbn:se:uu:diva-324859OAI: oai:DiVA.org:uu-324859DiVA, id: diva2:1111925
External cooperation
Artificial Solutions
Subject / course
Language Technology
Educational program
Master Programme in Language Technology
Supervisors
Examiners
Available from: 2017-06-22 Created: 2017-06-19 Last updated: 2018-01-13Bibliographically approved

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Department of Linguistics and Philology
Language Technology (Computational Linguistics)

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CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf