Publication:

Sentiframes: a resource for verb-centered german sentiment inference

Date

Date

Date
2016
Conference or Workshop Item
Published version

Citations

Citation copied

Klenner, M., & Amsler, M. (2016). Sentiframes: a resource for verb-centered german sentiment inference. 1–4. http://www.lrec-conf.org/proceedings/lrec2016/pdf/965_Paper.pdf

Abstract

Abstract

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.

Additional indexing

Creators (Authors)

  • Klenner, Manfred
    affiliation.icon.alt
  • Amsler, Michael
    affiliation.icon.alt

Event Title

Event Title

Event Title
Proceedings of the Tenth International Conference on Language Resources and Evaluation (LREC 2016)

Event Location

Event Location

Event Location
Portorož (Slovenia)

Event Start Date

Event Start Date

Event Start Date
2016-05-23

Event End Date

Event End Date

Event End Date
2016-05-28

Publisher

Publisher

Publisher
European Language Resources Association (ELRA)

Page Range

Page Range

Page Range
1

Page end

Page end

Page end
4

Item Type

Item Type

Item Type
Conference or Workshop Item

Dewey Decimal Classifikation

Dewey Decimal Classifikation

Dewey Decimal Classifikation

Language

Language

Language
English

Date available

Date available

Date available
2016-09-29

ISBN or e-ISBN

ISBN or e-ISBN

ISBN or e-ISBN
978-2-9517408-9-1

OA Status

OA Status

OA Status
Green

Free Access at

Free Access at

Free Access at
Official URL

Citations

Citation copied

Klenner, M., & Amsler, M. (2016). Sentiframes: a resource for verb-centered german sentiment inference. 1–4. http://www.lrec-conf.org/proceedings/lrec2016/pdf/965_Paper.pdf

Green Open Access
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Files
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Files

Files

Files
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