Publication: Semantic Role Labeling for Sentiment Inference: A Case Study
Semantic Role Labeling for Sentiment Inference: A Case Study
Date
Date
Date
Citations
Klenner, M., & Göhring, A. (2022). Semantic Role Labeling for Sentiment Inference: A Case Study. 144–149. https://aclanthology.org/2022.konvens-1.17.pdf
Abstract
Abstract
Abstract
In this paper, we evaluate in a case study whether semantic role labelling (SRL) can be reliably used for verb-based sentiment inference (SI). SI strives to identify polar relations (against, in-favour-of) between discourse entities. We took 300 sentences with 10 different verbs that show verb alternations or are ambiguous in order to find out if current SRL systems actually can assign the correct semantic roles and find the correct underlying predicates. Since in SI each verb reading comes with a particular polar profile, SRL is usef
Metrics
Downloads
Views
Additional indexing
Creators (Authors)
Event Title
Event Title
Event Title
Event Location
Event Location
Event Location
Event Start Date
Event Start Date
Event Start Date
Event End Date
Event End Date
Event End Date
Publisher
Publisher
Publisher
Page Range
Page Range
Page Range
Page end
Page end
Page end
Item Type
Item Type
Item Type
In collections
Dewey Decimal Classifikation
Dewey Decimal Classifikation
Dewey Decimal Classifikation
Language
Language
Language
Date available
Date available
Date available
OA Status
OA Status
OA Status
Free Access at
Free Access at
Free Access at
Metrics
Downloads
Views
Citations
Klenner, M., & Göhring, A. (2022). Semantic Role Labeling for Sentiment Inference: A Case Study. 144–149. https://aclanthology.org/2022.konvens-1.17.pdf
