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1
Using Pre-Trained Language Models for Producing Counter Narratives Against Hate Speech: a Comparative Study ...
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2
Towards Knowledge-Grounded Counter Narrative Generation for Hate Speech ...
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3
Multilingual Counter Narrative Type Classification ...
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4
Human-in-the-Loop for Data Collection: a Multi-Target Counter Narrative Dataset to Fight Online Hate Speech ...
Abstract: Read paper: https://www.aclanthology.org/2021.acl-long.250 Abstract: Undermining the impact of hateful content with informed and non-aggressive responses, called counter narratives, has emerged as a possible solution for having healthier online communities. Thus, some NLP studies have started addressing the task of counter narrative generation. Although such studies have made an effort to build hate speech / counter narrative (HS/CN) datasets for neural generation, they fall short in reaching either high-quality and/or high-quantity. In this paper, we propose a novel human-in-the-loop data collection methodology in which a generative language model is refined iteratively by using its own data from the previous loops to generate new training samples that experts review and/or post-edit. Our experiments comprised several loops including diverse dynamic variations. Results show that the methodology is scalable and facilitates diverse, novel, and cost-effective data collection. To our knowledge, the resulting ...
Keyword: Computational Linguistics; Condensed Matter Physics; Deep Learning; Electromagnetism; FOS Physical sciences; Information and Knowledge Engineering; Neural Network; Semantics
URL: https://dx.doi.org/10.48448/x999-8c80
https://underline.io/lecture/25583-human-in-the-loop-for-data-collection-a-multi-target-counter-narrative-dataset-to-fight-online-hate-speech
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5
Agreeing to Disagree: Annotating Offensive Language Datasets with Annotators' Disagreement ...
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6
Towards Knowledge-Grounded Counter Narrative Generation for Hate Speech ...
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7
Regrexit or not Regrexit: Aspect-based Sentiment Analysis in Polarized Contexts
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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8
DepecheMood++: a Bilingual Emotion Lexicon Built Through Simple Yet Powerful Techniques ...
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9
A Generative-Discriminative Framework for Title Generation in the E-commerce Domain
Chang, Chuan-Yi. - 2018
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10
Fortia-FBK at SemEval-2017 Task 5: Bullish or Bearish? Inferring Sentiment towards Brands from Financial News Headlines ...
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11
Deep Feelings: A Massive Cross-Lingual Study on the Relation between Emotions and Virality ...
Guerini, Marco; Staiano, Jacopo. - : arXiv, 2015
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12
Echoes of Persuasion: The Effect of Euphony in Persuasive Communication ...
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13
SentiWords: Deriving a High Precision and High Coverage Lexicon for Sentiment Analysis ...
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14
DepecheMood: a Lexicon for Emotion Analysis from Crowd-Annotated News ...
Staiano, Jacopo; Guerini, Marco. - : arXiv, 2014
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15
The new release of CORPS: a corpus of political speeches annotated with audience reactions
In: Multimodal communication in political speech. - Heidelberg [u.a.] : Springer (2013), 87-98
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16
Do Linguistic Style and Readability of Scientific Abstracts Affect their Virality?
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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17
Assessing Sentiment Strength in Words Prior Polarities ...
Gatti, Lorenzo; Guerini, Marco. - : arXiv, 2012
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18
Do Linguistic Style and Readability of Scientific Abstracts affect their Virality? ...
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19
Is it a promise or a threat?
In: Pragmatics & cognition. - Amsterdam [u.a.] : Benjamins 15 (2007) 2, 277-311
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OLC Linguistik
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