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IT5: Large-scale Text-to-text Pretraining for Italian Language Understanding and Generation ...
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Multilingual Pre-training with Language and Task Adaptation for Multilingual Text Style Transfer ...
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Thank you BART! Rewarding Pre-Trained Models Improves Formality Style Transfer ...
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Adapting Monolingual Models: Data can be Scarce when Language Similarity is High ...
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Generic resources are what you need: Style transfer tasks without task-specific parallel training data ...
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Adapting Monolingual Models: Data can be Scarce when Language Similarity is High ...
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As Good as New. How to Successfully Recycle English GPT-2 to Make Models for Other Languages ...
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Teaching NLP with Bracelets and Restaurant Menus: An Interactive Workshop for Italian Students ...
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Teaching NLP with Bracelets and Restaurant Menus:An Interactive Workshop for Italian Students
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What's so special about BERT's layers? A closer look at the NLP pipeline in monolingual and multilingual models ...
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Personal-ITY: A Novel YouTube-based Corpus for Personality Prediction in Italian ...
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Datasets and Models for Authorship Attribution on Italian Personal Writings ...
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Unmasking Contextual Stereotypes: Measuring and Mitigating BERT's Gender Bias ...
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Matching Theory and Data with Personal-ITY: What a Corpus of Italian YouTube Comments Reveals About Personality ...
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Abstract:
As a contribution to personality detection in languages other than English, we rely on distant supervision to create Personal-ITY, a novel corpus of YouTube comments in Italian, where authors are labelled with personality traits. The traits are derived from one of the mainstream personality theories in psychology research, named MBTI. Using personality prediction experiments, we (i) study the task of personality prediction in itself on our corpus as well as on TWISTY, a Twitter dataset also annotated with MBTI labels; (ii) carry out an extensive, in-depth analysis of the features used by the classifier, and view them specifically under the light of the original theory that we used to create the corpus in the first place. We observe that no single model is best at personality detection, and that while some traits are easier than others to detect, and also to match back to theory, for other, less frequent traits the picture is much more blurred. ...
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Keyword:
Computer and Information Science; Digital Media; Engineering; Information and Knowledge Engineering; Natural Language Processing; Neural Network
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URL: https://dx.doi.org/10.48448/bx22-vw48 https://underline.io/lecture/6572-matching-theory-and-data-with-personal-ity-what-a-corpus-of-italian-youtube-comments-reveals-about-personality
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Unmasking Contextual Stereotypes: Measuring and Mitigating BERT'S Gender Bias ...
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As Good as New. How to Successfully Recycle English GPT-2 to Make Models for Other Languages ...
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Fair Is Better than Sensational: Man Is to Doctor as Woman Is to Doctor
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In: Computational Linguistics, Vol 46, Iss 2, Pp 487-497 (2020) (2020)
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