A descriptive analysis of a German corpus annotated with opinion sources and targets

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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 existing German dataset for opinion role extraction of its size. Our analysis discusses the individual properties of the three components, subjective expressions, sources and targets and their relations towards each other. Our observations should help practitioners and researchers when building a system to extract opinion roles from German data.

Metadaten
Author:	Michael Wiegand, Leonie Lapp, Josef Ruppenhofer
URN:	urn:nbn:de:bsz:mh39-93203
URL:	https://corpora.linguistik.uni-erlangen.de/data/konvens/proceedings/papers/KONVENS2019_paper_7.pdf
Parent Title (English):	Preliminary proceedings of the 15th Conference on Natural Language Processing (KONVENS 2019), October 9 – 11, 2019 at Friedrich-Alexander-Universität Erlangen-Nürnberg
Publisher:	German Society for Computational Linguistics & Language Technology und Friedrich-Alexander-Universität Erlangen-Nürnberg
Place of publication:	München [u.a.]
Document Type:	Conference Proceeding
Language:	English
Year of first Publication:	2019
Date of Publication (online):	2019/10/15
Publicationstate:	Veröffentlichungsversion
Reviewstate:	Peer-Review
GND Keyword:	Automatische Sprachanalyse; Deutsch; Gesprochene Sprache; Politische Sprache; Propositionale Einstellung
First Page:	20
Last Page:	29
DDC classes:	400 Sprache / 400 Sprache, Linguistik
Open Access?:	ja
Leibniz-Classification:	Sprache, Linguistik
Linguistics-Classification:	Computerlinguistik
Program areas:	Pragmatik
Program areas:	Digitale Sprachwissenschaft
Licence (German):	Creative Commons - CC BY-NC-SA - Namensnennung - Nicht kommerziell - Weitergabe unter gleichen Bedingungen 4.0 International

Open Access