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What BERTs and GPTs know about your brand? Probing contextual language models for affect associations.

, , , , и . DeeLIO@NAACL-HLT, стр. 119-128. Association for Computational Linguistics, (2021)

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Multimodal Approach to Predicting Media Memorability., , , и . MediaEval, том 2283 из CEUR Workshop Proceedings, CEUR-WS.org, (2018)Live on TV, Alive on Twitter: Quantifying Continuous Partial Attention of Viewers During Live Television Telecasts., , и . ICDM Workshops, стр. 1042-1049. IEEE Computer Society, (2017)What BERTs and GPTs know about your brand? Probing contextual language models for affect associations., , , , и . DeeLIO@NAACL-HLT, стр. 119-128. Association for Computational Linguistics, (2021)EmotionX-Area66: Predicting Emotions in Dialogues using Hierarchical Attention Network with Sequence Labeling., , и . SocialNLP@ACL, стр. 50-55. Association for Computational Linguistics, (2018)Automatically Retrieving Explanatory Analogies from Webpages., , и . ECIR, том 8416 из Lecture Notes in Computer Science, стр. 481-486. Springer, (2014)Towards Understanding the Robustness of LLM-based Evaluations under Perturbations., , , и . CoRR, (2024)Meme Generation with Multi-modal Input and Planning., , , , и . MMGR@MM, стр. 21-25. ACM, (2024)Assessing the Need of Augmenting Video Lectures with Supporting Information., , , , и . HCI (14), том 8523 из Lecture Notes in Computer Science, стр. 238-249. Springer, (2014)Generative Models For Indic Languages: Evaluating Content Generation Capabilities., , и . RANLP, стр. 187-195. INCOMA Ltd., Shoumen, Bulgaria, (2023)A Few Good Sentences: Content Selection for Abstractive Text Summarization., , и . ECML/PKDD (4), том 14172 из Lecture Notes in Computer Science, стр. 124-141. Springer, (2023)