Dependency Parsing and Dialogue Systems: an investigation of dependency parsing for commercial application
2017 (English)Independent thesis Advanced level (degree of Master (Two Years)), 20 credits / 30 HE credits
Student 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
2017-06-222017-06-192018-01-13Bibliographically approved