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://preview.aclanthology.org/icon-24-ingestion/L16-1461/
- DOI:
- 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)
- PDF:
- https://preview.aclanthology.org/icon-24-ingestion/L16-1461.pdf