Konferenzbeitrag
Learning Script Participants from Unlabeled Data
We introduce a system that learns the participants of arbitrary given scripts. This system processes data from web experiments, in which each participant can be realized with different expressions. It computes participants by encoding semantic similarity and global structural information into an Integer Linear Program. An evaluation against a gold standard shows that we significantly outperform two informed baselines.
- Language
-
Englisch
- Subject
-
Automatische Sprachanalyse
Semantische Analyse
Nominalphrase
Linguistik
- Event
-
Geistige Schöpfung
- (who)
-
Regneri, Michaela
Koller, Alexander
Ruppenhofer, Josef
Pinkal, Manfred
- Event
-
Veröffentlichung
- (who)
-
Shoumen : ICOMANIA Ltd.
- (when)
-
2016-09-16
- URN
-
urn:nbn:de:bsz:mh39-52718
- Last update
-
06.03.2025, 9:00 AM CET
Data provider
This object is provided by:
Leibniz-Institut für Deutsche Sprache - Bibliothek. If you have any questions about the object, please contact the data provider.
Leibniz-Institut für Deutsche Sprache - Bibliothek. If you have any questions about the object, please contact the data provider.
Object type
- Konferenzbeitrag
Associated
- Regneri, Michaela
- Koller, Alexander
- Ruppenhofer, Josef
- Pinkal, Manfred
- Shoumen : ICOMANIA Ltd.
Time of origin
- 2016-09-16
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