Domain adaptation for automatic detection of speculative sentences


Štajner, Sanja ; Glavaš, Goran ; Ponzetto, Simone Paolo ; Stuckenschmidt, Heiner



DOI: https://doi.org/10.1109/ICSC.2017.35
URL: http://ieeexplore.ieee.org/document/7889524/
Document Type: Conference or workshop publication
Year of publication: 2017
Book title: IEEE 11th International Conference on Semantic Computing ICSC 2017 : 30 January - 1 February 2017, San Diego, California : proceedings
Page range: 164-171
Conference title: The IEEE 11th International Conference on Semantic Computing (ICSC)
Location of the conference venue: San Diego, CA
Date of the conference: 30.01-01.02.2017
Author/Publisher of the book
(only the first ones mentioned)
:
Kim, Mira
Place of publication: Los Alamitos, CA [u.a.]
Publishing house: IEEE Computer Society
ISBN: 978-1-5090-4285-2 , 978-1-5090-4284-5 , 978-1-5090-4896-0
Publication language: English
Institution: School of Business Informatics and Mathematics > Praktische Informatik II (Stuckenschmidt 2009-)
School of Business Informatics and Mathematics > Wirtschaftsinformatik III (Ponzetto 2016-)
Subject: 004 Computer science, internet
Subject headings (SWD): Natürliche Sprache , Informatik , Künstliche Intelligenz
Keywords (English): automatic speculation detection ; domain adaptation , natural language processing , computer science , artificial intelligence
Abstract: The use of speculative, uncertain or vague sentences is common in both spoken and written language. Automatic detection of such sentences plays significant role in natural language processing and social sciences as it could enhance information extraction systems and lead to faster and more reliable analyses in social sciences. However, this problem has only been addressed in biomedical and encyclopedic domains. In this paper, we address automatic speculation detection (as a binary sentence classification task) in monetary policy domain, and for the first time, on the transcripts of spoken language. We build two new speculation detection datasets and a dictionary of speculation triggers using expert annotations, and benchmark the performance of automatic speculation detection systems in this new domain.

Dieser Eintrag ist Teil der Universitätsbibliographie.




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Štajner, Sanja ; Glavaš, Goran ; Ponzetto, Simone Paolo ; Stuckenschmidt, Heiner ORCID: 0000-0002-0209-3859 Domain adaptation for automatic detection of speculative sentences. Kim, Mira 164-171 In: IEEE 11th International Conference on Semantic Computing ICSC 2017 : 30 January - 1 February 2017, San Diego, California : proceedings (2017) Los Alamitos, CA [u.a.] The IEEE 11th International Conference on Semantic Computing (ICSC) (San Diego, CA) [Conference or workshop publication]


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