[PDF][PDF] Improved opinion role labelling in parliamentary debates
L Bamberg, I Rehbein, SP Ponzetto - Proceedings of the 18th …, 2022 - aclanthology.org
This paper presents a model for German Opinion Role Labelling (ORL), using the data from
the IGGSA-STEPS 2014 and 2016 shared tasks. We frame the problem as a token …
the IGGSA-STEPS 2014 and 2016 shared tasks. We frame the problem as a token …
A descriptive analysis of a German corpus annotated with opinion sources and targets
M Wiegand, L Lapp… - Preliminary proceedings of …, 2019 - ids-pub.bsz-bw.de
We present a descriptive analysis on the two datasets from the shared task on Source,
Subjective Expression and Target Extraction from Political Speeches (STEPS), the only …
Subjective Expression and Target Extraction from Political Speeches (STEPS), the only …
A Supervised learning approach for the extraction of opinion sources and targets from German text
M Wiegand, M Chikobava… - … proceedings of the 15th …, 2019 - ids-pub.bsz-bw.de
We present the first systematic supervised learning approach for the extraction of opinion
sources and targets on German language data. A wide choice of different features is …
sources and targets on German language data. A wide choice of different features is …