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Using Pre-Trained Language Models for Producing Counter Narratives Against Hate Speech: a Comparative Study ...
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Towards Knowledge-Grounded Counter Narrative Generation for Hate Speech ...
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Human-in-the-Loop for Data Collection: a Multi-Target Counter Narrative Dataset to Fight Online Hate Speech ...
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Agreeing to Disagree: Annotating Offensive Language Datasets with Annotators' Disagreement ...
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Towards Knowledge-Grounded Counter Narrative Generation for Hate Speech ...
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Regrexit or not Regrexit: Aspect-based Sentiment Analysis in Polarized Contexts
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In: COLING'2020 - 28th International Conference on Computational Linguistics (COLING'2020) ; https://hal.inria.fr/hal-03031812 ; COLING'2020 - 28th International Conference on Computational Linguistics (COLING'2020), Dec 2020, Barcelona / Online, Spain (2020)
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DepecheMood++: a Bilingual Emotion Lexicon Built Through Simple Yet Powerful Techniques ...
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A Generative-Discriminative Framework for Title Generation in the E-commerce Domain
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Fortia-FBK at SemEval-2017 Task 5: Bullish or Bearish? Inferring Sentiment towards Brands from Financial News Headlines ...
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Deep Feelings: A Massive Cross-Lingual Study on the Relation between Emotions and Virality ...
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Echoes of Persuasion: The Effect of Euphony in Persuasive Communication ...
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SentiWords: Deriving a High Precision and High Coverage Lexicon for Sentiment Analysis ...
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DepecheMood: a Lexicon for Emotion Analysis from Crowd-Annotated News ...
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Do Linguistic Style and Readability of Scientific Abstracts Affect their Virality?
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In: Proceedings of the International AAAI Conference on Web and Social Media; Vol. 6 No. 1 (2012): Sixth International AAAI Conference on Weblogs and Social Media ; 2334-0770 ; 2162-3449 (2012)
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Assessing Sentiment Strength in Words Prior Polarities ...
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Abstract:
Many approaches to sentiment analysis rely on lexica where words are tagged with their prior polarity - i.e. if a word out of context evokes something positive or something negative. In particular, broad-coverage resources like SentiWordNet provide polarities for (almost) every word. Since words can have multiple senses, we address the problem of how to compute the prior polarity of a word starting from the polarity of each sense and returning its polarity strength as an index between -1 and 1. We compare 14 such formulae that appear in the literature, and assess which one best approximates the human judgement of prior polarities, with both regression and classification models. ... : To appear at Coling 2012 ...
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Keyword:
Computation and Language cs.CL; FOS Computer and information sciences
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URL: https://arxiv.org/abs/1212.4315 https://dx.doi.org/10.48550/arxiv.1212.4315
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Do Linguistic Style and Readability of Scientific Abstracts affect their Virality? ...
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