Sentiframes: A Resource for Verb-centered German Sentiment Inference

Manfred Klenner, Michael Amsler


Abstract
In this paper, a German verb resource for verb-centered sentiment inference is introduced and evaluated. Our model specifies verb polarity frames that capture the polarity effects on the fillers of the verb’s arguments given a sentence with that verb frame. Verb signatures and selectional restrictions are also part of the model. An algorithm to apply the verb resource to treebank sentences and the results of our first evaluation are discussed.
Anthology ID:
L16-1461
Volume:
Proceedings of the Tenth International Conference on Language Resources and Evaluation (LREC'16)
Month:
May
Year:
2016
Address:
Portorož, Slovenia
Editors:
Nicoletta Calzolari, Khalid Choukri, Thierry Declerck, Sara Goggi, Marko Grobelnik, Bente Maegaard, Joseph Mariani, Helene Mazo, Asuncion Moreno, Jan Odijk, Stelios Piperidis
Venue:
LREC
SIG:
Publisher:
European Language Resources Association (ELRA)
Note:
Pages:
2888–2891
Language:
URL:
https://aclanthology.org/L16-1461
DOI:
Bibkey:
Cite (ACL):
Manfred Klenner and Michael Amsler. 2016. Sentiframes: A Resource for Verb-centered German Sentiment Inference. In Proceedings of the Tenth International Conference on Language Resources and Evaluation (LREC'16), pages 2888–2891, Portorož, Slovenia. European Language Resources Association (ELRA).
Cite (Informal):
Sentiframes: A Resource for Verb-centered German Sentiment Inference (Klenner & Amsler, LREC 2016)
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PDF:
https://aclanthology.org/L16-1461.pdf