TY  - CHAP
U1  - Konferenzveröffentlichung
A1  - Wiegand, Michael
A1  - Klakow, Dietrich
ED  - Angelova, Galia
ED  - Bontcheva, Kalina
ED  - Mitkov, Ruslan
ED  - Nikolov, Nikolai
T1  - Prototypical Opinion Holders: What We can Learn from Experts and Analysts
T2  - Proceedings of the International Conference on Recent Advances in Natural Language Processing 2011, Hissar, Bulgaria, 12-14 September, 2011
N2  - In order to automatically extract opinion holders, we propose to harness the contexts of prototypical opinion holders, i.e. common nouns, such as experts or analysts, that describe particular groups of people whose profession or occupation is to form and express opinions towards specific items. We assess their effectiveness in supervised learning where these contexts are regarded as labelled training data and in rule-based classification which uses predicates that frequently co-occur with mentions of the prototypical opinion holders. Finally, we also examine in how far knowledge gained from these contexts can compensate the lack of large amounts of labeled training data in supervised learning by considering various amounts of actually labeled training sets.
KW  - Computerlinguistik
KW  - Maschinelles Lernen
KW  - Text Mining
KW  - Information Extraction
KW  - Sentimentanalyse
KW  - Expertenmeinung
Y1  - 2011
U6  - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bsz:mh39-84674
UN  - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bsz:mh39-84674
UR  - https://aclanthology.info/papers/R11-1039/r11-1039
SN  - 1313-8502
SS  - 1313-8502
SP  - 282
EP  - 288
PB  - Incoma Ltd.
CY  - Shoumen
ER  - 
TY  - CHAP
U1  - Konferenzveröffentlichung
A1  - Wiegand, Michael
A1  - Klakow, Dietrich
T1  - The Role of Predicates in Opinion Holder Extraction
T2  - Proceedings of the RANLP 2011 Workshop on Information Extraction and Knowledge Acquisition,16 September, 2011, Hissar, Bulgaria
N2  - In this paper, we investigate the role of predicates in opinion holder extraction. We will examine the shape of these predicates, investigate what relationship they bear towards opinion holders, determine what resources are potentially useful for acquiring them, and point out limitations of an opinion holder extraction system based on these predicates. For this study, we will carry out an evaluation on a corpus annotated with opinion holders. Our insights are, in particular, important for situations in which no labelled training data are available and only rule-based methods can be applied.
KW  - Information Extraction
KW  - Computerlinguistik
KW  - Prädikat
KW  - Maschinelles Lernen
KW  - Natürliche Sprache
KW  - Sentimentanalyse
Y1  - 2011
U6  - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bsz:mh39-84564
UN  - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bsz:mh39-84564
UR  - https://aclanthology.info/papers/W11-4004/w11-4004
SN  - 978-954-452-018-2
SB  - 978-954-452-018-2
SP  - 13
EP  - 20
PB  - Incoma Ltd.
CY  - Shoumen
ER  -