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A simple language-agnostic yet very strong baseline system for hate speech and offensive content identification ...
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Using Fisher's Exact Test to Evaluate Association Measures for N-grams ...
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LAST at CMCL 2021 Shared Task: Predicting Gaze Data During Reading with a Gradient Boosting Decision Tree Approach ...
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Abstract:
A LightGBM model fed with target word lexical characteristics and features obtained from word frequency lists, psychometric data and bigram association measures has been optimized for the 2021 CMCL Shared Task on Eye-Tracking Data Prediction. It obtained the best performance of all teams on two of the five eye-tracking measures to predict, allowing it to rank first on the official challenge criterion and to outperform all deep-learning based systems participating in the challenge. ... : To be published in the Proceedings of the Workshop on Cognitive Modeling and Computational Linguistics, co-located with NAACL 2021 in Mexico City, Mexico (virtual), on the 10th of June 2021 ...
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Keyword:
Computation and Language cs.CL; FOS Computer and information sciences
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URL: https://arxiv.org/abs/2104.13043 https://dx.doi.org/10.48550/arxiv.2104.13043
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LAST at SemEval-2021 Task 1: Improving Multi-Word Complexity Prediction Using Bigram Association Measures ...
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Getting rid of the Chi-square and Log-likelihood tests for analysing vocabulary differences between corpora
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In: Bestgen, Yves. Getting rid of the Chi-square and Log-likelihood tests for analysing vocabulary differences between corpora. En: Quaderns de filología. Estudis lingüístics, 22 2017: 33-56 (2017)
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Using n-grams to map registers across languages and uncover cross-linguistic contrasts: Insights from Correspondence Analysis
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In: CBL (Cercle Belge de Linguistique) 2016 ; https://hal.archives-ouvertes.fr/hal-01426811 ; CBL (Cercle Belge de Linguistique) 2016, May 2016, Louvain-la-Neuve, Belgium (2016)
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Vers une analyse des différences interlinguistiques entre les genres textuels : étude de cas basée sur les n-grammes et l'analyse factorielle des correspondances
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In: TALN 2016: Traitement Automatique des Langues Naturelles ; https://hal.archives-ouvertes.fr/hal-01426820 ; TALN 2016: Traitement Automatique des Langues Naturelles, Jul 2016, Paris, France (2016)
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Exact Expected Average Precision of the Random Baseline for System Evaluation
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In: Prague Bulletin of Mathematical Linguistics , Vol 103, Iss 1, Pp 131-138 (2015) (2015)
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Construction automatique de ressources lexicales pour la fouille d'opinion. ...
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How to determine the meaning and use of (causal) connectives in (large) corpora : from hand-based to automatic analyses
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In: Electronic Document Week (SDN 2004), Workshop ATALA "Modelling and describing discourse organisation in the age of the digital document", La Rochelle ; https://archivesic.ccsd.cnrs.fr/sic_00001224 ; Jun 2004 (2004)
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