|
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
|
|
Publisher:
|
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. |
 Search Authors in
BASE:
Štajner, Sanja
;
Glavaš, Goran
;
Ponzetto, Simone Paolo
;
Stuckenschmidt, Heiner
Google Scholar:
Štajner, Sanja
;
Glavaš, Goran
;
Ponzetto, Simone Paolo
;
Stuckenschmidt, Heiner
ORCID:
Štajner, Sanja ; Glavaš, Goran ; Ponzetto, Simone Paolo  ORCID: 0000-0001-7484-2049 ; Stuckenschmidt, Heiner ORCID: 0000-0002-0209-3859
You have found an error? Please let us know about your desired correction here: E-Mail
Actions (login required)
 |
Show item |
|
|
