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Predicting lexical complexity in English texts: the Complex 2.0 dataset
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Comparing Approaches to Dravidian Language Identification ...
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An Exploratory Analysis of the Relation Between Offensive Language and Mental Health ...
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Multilingual Offensive Language Identification for Low-resource Languages ...
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WLV-RIT at SemEval-2021 Task 5: A Neural Transformer Framework for Detecting Toxic Spans ...
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An Exploratory Analysis of the Relation between Offensive Language and Mental Health ...
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Handling Extreme Class Imbalance in Technical Logbook Datasets ...
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SOLID: A Large-Scale Semi-Supervised Dataset for Offensive Language Identification ...
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LCP-RIT at SemEval-2021 Task 1: Exploring Linguistic Features for Lexical Complexity Prediction ...
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SemEval-2021 Task 1: Lexical Complexity Prediction ...
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Abstract:
This paper presents the results and main findings of SemEval-2021 Task 1 - Lexical Complexity Prediction. We provided participants with an augmented version of the CompLex Corpus (Shardlow et al 2020). CompLex is an English multi-domain corpus in which words and multi-word expressions (MWEs) were annotated with respect to their complexity using a five point Likert scale. SemEval-2021 Task 1 featured two Sub-tasks: Sub-task 1 focused on single words and Sub-task 2 focused on MWEs. The competition attracted 198 teams in total, of which 54 teams submitted official runs on the test data to Sub-task 1 and 37 to Sub-task 2. ...
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Keyword:
Computation and Language cs.CL; FOS Computer and information sciences
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URL: https://dx.doi.org/10.48550/arxiv.2106.00473 https://arxiv.org/abs/2106.00473
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A Computational Exploration of Pejorative Language in Social Media ...
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Multilingual offensive language identification for low-resource languages
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In: 21 ; 1 (2021)
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Overview of the HASOC subtrack at FIRE 2021: Hate speech and offensive content identification in English and Indo-Aryan languages and conversational hate speech
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In: 1 ; 3 (2021)
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