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Overview of GermEval Task 2, 2019 shared task on the identification of offensive language
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Overview of GermEval Task 2, 2019 Shared Task on the Identification of Offensive Language
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In: Struß, Julia Maria; Siegel, Melanie; Ruppenhofer, Josef; Wiegand, Michael; Klenner, Manfred (2019). Overview of GermEval Task 2, 2019 Shared Task on the Identification of Offensive Language. In: German Society for Computational Linguistics. Proceedings of the 15th Conference on Natural Language Processing (KONVENS) 2019. Nürnberg/Erlangen: s.a., 354-365. (2019)
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Introducing a Lexicon of Verbal Polarity Shifters for English ...
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Introducing a Lexicon of Verbal Polarity Shifters for English ...
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Automatically Creating a Lexicon of Verbal Polarity Shifters: Mono- and Cross-lingual Methods for German ...
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Abstract:
In this paper we use methods for creating a large lexicon of verbal polarity shifters and apply them to German. Polarity shifters are content words that can move the polarity of a phrase towards its opposite, such as the verb "abandon" in "abandon all hope" . This is similar to how negation words like "not" can influence polarity. Both shifters and negation are required for high precision sentiment analysis. Lists of negation words are available for many languages, but the only language for which a sizable lexicon of verbal polarity shifters exists is English. This lexicon was created by bootstrapping a sample of annotated verbs with a supervised classifier that uses a set of data- and resource-driven features. We reproduce and adapt this approach to create a German lexicon of verbal polarity shifters. Thereby, we confirm that the approach works for multiple languages. We further improve classification by leveraging cross-lingual information from the English shifter lexicon. Using this improved approach, we ... : This work was partially supported by the German Research Foundation (DFG) under grants RU 1873/2-1 and WI4204/2-1. ...
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Keyword:
German Language; Lexical Semantics; Lexicon; Negation; NLP Resources; Sentiment Analysis; Sentiment Polarity
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URL: https://dx.doi.org/10.5281/zenodo.3365694 https://zenodo.org/record/3365694
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Automatically Creating a Lexicon of Verbal Polarity Shifters: Mono- and Cross-lingual Methods for German ...
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Offensive language without offensive words (OLWOW)
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In: Klenner, Manfred (2018). Offensive language without offensive words (OLWOW). In: KONVENS 2018 (The Conference on Natural Language Processing). Germeval Task 2018 — Shared Task on the Identification of Offensive Language, Wien, 19 September 2018 - 21 September 2018. (2018)
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Towards Bootstrapping a Polarity Shifter Lexicon using Linguistic Features ...
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Towards Bootstrapping a Polarity Shifter Lexicon using Linguistic Features ...
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Saarland University’s Participation in the GErman SenTiment AnaLysis shared Task (GESTALT)
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