Towards discourse annotation and sentiment analysis of the Basque Opinion Corpus

Jon Alkorta, Koldo Gojenola, Mikel Iruskieta


Abstract
Discourse information is crucial for a better understanding of the text structure and it is also necessary to describe which part of an opinionated text is more relevant or to decide how a text span can change the polarity (strengthen or weaken) of other span by means of coherence relations. This work presents the first results on the annotation of the Basque Opinion Corpus using Rhetorical Structure Theory (RST). Our evaluation results and analysis show us the main avenues to improve on a future annotation process. We have also extracted the subjectivity of several rhetorical relations and the results show the effect of sentiment words in relations and the influence of each relation in the semantic orientation value.
Anthology ID:
W19-2718
Volume:
Proceedings of the Workshop on Discourse Relation Parsing and Treebanking 2019
Month:
June
Year:
2019
Address:
Minneapolis, MN
Editors:
Amir Zeldes, Debopam Das, Erick Maziero Galani, Juliano Desiderato Antonio, Mikel Iruskieta
Venue:
NAACL
SIG:
Publisher:
Association for Computational Linguistics
Note:
Pages:
144–152
Language:
URL:
https://aclanthology.org/W19-2718
DOI:
10.18653/v1/W19-2718
Bibkey:
Cite (ACL):
Jon Alkorta, Koldo Gojenola, and Mikel Iruskieta. 2019. Towards discourse annotation and sentiment analysis of the Basque Opinion Corpus. In Proceedings of the Workshop on Discourse Relation Parsing and Treebanking 2019, pages 144–152, Minneapolis, MN. Association for Computational Linguistics.
Cite (Informal):
Towards discourse annotation and sentiment analysis of the Basque Opinion Corpus (Alkorta et al., NAACL 2019)
Copy Citation:
PDF:
https://aclanthology.org/W19-2718.pdf
Presentation:
 W19-2718.Presentation.pdf