Overview of GermEval Task 2, 2019 shared task on the identification of offensive language

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Location: Deutsche Nationalbibliothek Frankfurt am Main

Extent: Online-Ressource

Language: Englisch

Notes: In: Preliminary proceedings of the 15th Conference on Natural Language Processing (KONVENS 2019), October 9 – 11, 2019 at Friedrich-Alexander-Universität Erlangen-Nürnberg. - München [u.a.] : German Society for Computational Linguistics & Language Technology und Friedrich-Alexander-Universität Erlangen-Nürnberg, 2019., S. 352-363

Keyword: Deutsch
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Automatische Spracherkennung

Event: Veröffentlichung

(where): Mannheim

(who): Leibniz-Institut für Deutsche Sprache (IDS), Bibliothek

(when): 2019

Creator: Struß, Julia Maria
Siegel, Melanie
Ruppenhofer, Josef
Wiegand, Michael
Klenner, Manfred

URN: urn:nbn:de:bsz:mh39-93197

Rights: Der Zugriff auf das Objekt ist unbeschränkt möglich.

Last update: 07.01.0004, 7:35 AM CET

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Associated

Struß, Julia Maria
Siegel, Melanie
Ruppenhofer, Josef
Wiegand, Michael
Klenner, Manfred
Leibniz-Institut für Deutsche Sprache (IDS), Bibliothek

Time of origin

2019

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Overview of GermEval Task 2, 2019 shared task on the identification of offensive language

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Other Objects (12)

Overview of the IGGSA 2016 Shared Task on Source and Target Extraction from Political Speeches

Overview of GermEval Task 2, 2019 shared task on the identification of offensive language

IGGSA Shared Tasks on German Sentiment Analysis (GESTALT)

Opinion Holder and Target Extraction based on the Induction of Verbal Categories

IGGSA-STEPS: Shared Task on Source and Target Extraction from Political Speeches

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A Supervised learning approach for the extraction of opinion sources and targets from German text

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Overview of GermEval Task 2, 2019 shared task on the identification of offensive language

IGGSA Shared Tasks on German Sentiment Analysis (GESTALT)

Opinion Holder and Target Extraction based on the Induction of Verbal Categories

IGGSA-STEPS: Shared Task on Source and Target Extraction from Political Speeches

Opinion Holder and Target Extraction for Verb-based Opinion Predicates – The Problem is Not Solved

Comparing methods for deriving intensity scores for adjectives

Automatic generation of lexica for sentiment polarity shifters

Negation modeling for German polarity classification

A Supervised learning approach for the extraction of opinion sources and targets from German text

Predicative Adjectives: An Unsupervised Criterion to Extract Subjective Adjectives

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

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Overview of GermEval Task 2, 2019 shared task on the identification of offensive language

IGGSA Shared Tasks on German Sentiment Analysis (GESTALT)

Opinion Holder and Target Extraction based on the Induction of Verbal Categories

IGGSA-STEPS: Shared Task on Source and Target Extraction from Political Speeches

Opinion Holder and Target Extraction for Verb-based Opinion Predicates – The Problem is Not Solved

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Negation modeling for German polarity classification

A Supervised learning approach for the extraction of opinion sources and targets from German text

Predicative Adjectives: An Unsupervised Criterion to Extract Subjective Adjectives

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

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