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DTSTART;TZID=Europe/Paris:20211007T110000
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SUMMARY:D5 seminar - Towards Trust in Action Policies: A Research Agenda
DESCRIPTION:The next D5 seminar will be held on Thursday\, October 7\, 2021\, at 11am in LORIA\, Amphi C. It is open to everyone interested!\n\nOur invited speaker will be Joerg Hoffmann\, Professor of CS at Saarland University\, Saarbrücken (and former Directeur de Recherche at INRIA Nancy). \nTowards Trust in Action Policies: A Research Agenda\nAction policies in sequential decision making map states (or state sequences) to actions. Learned action policies\, in particular neural action policies\, are gaining more and more traction in dealing with complex environments under real-time action-decision constraints. But how to ensure trust in such a policy? Within the broad movement in AI towards addressing this question (and many related ones)\, my research group in Saarbrücken explores approaches towards explanation (elucidating trade-offs between different user objectives)\, verification (proving that the policy never enters an unsafe state)\, testing (trying to find cases where the policy is unsafe or otherwise undesirable)\, and visualization (enabling human users to inspect policy behavior). Our research on all these topics is in the early stages; I will outline ideas and first results\, and I’m very interested in collaborations. The talk thus is intended to outline our agenda and start discussions about possible collaborations between my group and LORIA researchers. \n– \nJoerg Hoffmann has been a Directeur de Recherche at INRIA Nancy from\n2009–2012\, and is now a Professor of CS at Saarland University\,\nSaarbrücken. He is a Fellow of AAAI and EurAI. His core research area is\nAI automated planning\, with connections to related fields such as\nverification\, and a recent focus on explainable and trusted AI through\ncombinations of neural and symbolic methods.
URL:https://www.loria.fr/event/d5-seminar-towards-trust-in-action-policies-a-research-agenda/
LOCATION:Amphithéâtre du Loria
CATEGORIES:Séminaire
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DTSTART;TZID=Europe/Paris:20211018T093000
DTEND;TZID=Europe/Paris:20211018T120000
DTSTAMP:20211004T094412Z
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SUMMARY:2nd Study session on social networks data
DESCRIPTION:The 2nd study session on social networks data organized by LUE project OLKi will take place on Monday 18th October at the Loria Amphiteatre. \nPlease register before 16th Oct : http://enquetes.univ-lorraine.fr/index.php/891174 \n\n\n\n9:30 – 9:45 Welcome coffee\n9:45 – 12:00 Presentations & discussion \nMarie FLESCH (ATILF) – Internet language and gender: an intersectional study of a corpus of Reddit comments \nTomara GOTKOVA and Nikolay CHEPURNYKH (ATILF) – Public Perception and Usage of Environmental Vocabulary: Building and Exploiting a Thematic Social Media Corpus \nAman SINHA (IECL & ATILF) – C-Net: Contextual Network for Sarcasm Detection Nicolas ZAMPIERI – (LORIA) Multiword Expression Features for Automatic Hate Speech \nDetection \nDana RUITER (Saarland University) – Title to be announced \n\n\n\nABSTRACTS \nMarie FLESCH (ATILF) – Internet language and gender: an intersectional study of a corpus of Reddit comments \nThis quantitative sociolinguistic study explores the dynamics of language and gender in a 20- million-word corpus of Reddit comments written by 1044 (mostly American) internet users. It focuses on 11 variables\, including emojis\, emoticons\, acronyms\, apostrophe omissions\, and phonetic spellings. It adopts an intersectional perspective by taking into account cisgender\, transgender\, and non-binary gender identities\, and by examining the interaction of gender with age and ethnicity. \nTomara GOTKOVA and Nikolay CHEPURNYKH (ATILF) – Public Perception and Usage of Environmental Vocabulary: Building and Exploiting a Thematic Social Media Corpus \nWe will present our interdisciplinary research whose main objective is the study of core vocabulary of the environment in English\, with one specific issue in mind: the interplay between domain-specific usage of this vocabulary and its usage in ordinary discourse found on the Internet\, with special attention paid to social networks. Our presentation will cover the following points: technical aspects of building a reference corpus using data extracted from Twitter and Reddit; normalization of raw corpus data; qualitative linguistic analysis of environmental terms (carbon\, carbon dioxide\, …) in the corpus. \nAman SINHA (IECL-ATILF) – C-Net: Contextual Network for Sarcasm Detection \nAutomatic Sarcasm Detection in conversations is a difficult and tricky task. Classifying an utterance as sarcastic or not in isolation can be futile since most of the time the sarcastic nature of a sentence heavily relies on its context. This paper presents our proposed model\, C-Net\, which takes contextual information of a sentence in a sequential manner to classify it as sarcastic or non-sarcastic. Our model showcases competitive performance in the Sarcasm Detection shared task organised on CodaLab under the workshop on Figurative Language Processing\, at ACL 2020 and achieved 75.0% F1-score on the Twitter dataset and 66.3% F1- score on Reddit dataset.
URL:https://www.loria.fr/event/2nd-study-session-on-social-networks-data/
LOCATION:Amphithéâtre du Loria
CATEGORIES:Séminaire
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