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pro vyhledávání: '"Rose', Carolyn Penstein"'
We present a generalizable classification approach that leverages Large Language Models (LLMs) to facilitate the detection of implicitly encoded social meaning in conversations. We design a multi-faceted prompt to extract a textual explanation of the
Externí odkaz:
http://arxiv.org/abs/2406.19545
Autor:
Lovelace, Justin, Newman-Griffis, Denis, Vashishth, Shikhar, Lehman, Jill Fain, Rosé, Carolyn Penstein
Knowledge Graph (KG) completion research usually focuses on densely connected benchmark datasets that are not representative of real KGs. We curate two KG datasets that include biomedical and encyclopedic knowledge and use an existing commonsense KG
Externí odkaz:
http://arxiv.org/abs/2106.06555
Autor:
Dutt, Ritam, Sinha, Sayan, Joshi, Rishabh, Chakraborty, Surya Shekhar, Riggs, Meredith, Yan, Xinru, Bao, Haogang, Rosé, Carolyn Penstein
Modelling persuasion strategies as predictors of task outcome has several real-world applications and has received considerable attention from the computational linguistics community. However, previous research has failed to account for the resisting
Externí odkaz:
http://arxiv.org/abs/2101.10545
The notion of face refers to the public self-image of an individual that emerges both from the individual's own actions as well as from the interaction with others. Modeling face and understanding its state changes throughout a conversation is critic
Externí odkaz:
http://arxiv.org/abs/2009.10815
Authorship identification is a process in which the author of a text is identified. Most known literary texts can easily be attributed to a certain author because they are, for example, signed. Yet sometimes we find unfinished pieces of work or a who
Externí odkaz:
http://arxiv.org/abs/1912.10204
Autor:
Sankaranarayanan, Sreecharan, Annasamy, Raghuram Mandyam, Sycara, Katia, Rosé, Carolyn Penstein
Q-Ensembles are a model-free approach where input images are fed into different Q-networks and exploration is driven by the assumption that uncertainty is proportional to the variance of the output Q-values obtained. They have been shown to perform r
Externí odkaz:
http://arxiv.org/abs/1806.04552
Autor:
Prabhumoye, Shrimai, Choudhary, Samridhi, Spiliopoulou, Evangelia, Bogart, Christopher, Rose, Carolyn Penstein, Black, Alan W
There has been a long standing interest in understanding `Social Influence' both in Social Sciences and in Computational Linguistics. In this paper, we present a novel approach to study and measure interpersonal influence in daily interactions. Motiv
Externí odkaz:
http://arxiv.org/abs/1707.04546
Publikováno v:
Proceedings of the International Conference of the Learning Sciences 2016, Volume 1, pp 607-614
An earlier study of a collaborative chat intervention in a Massive Open Online Course (MOOC) identified negative effects on attrition stemming from a requirement for students to be matched with exactly one partner prior to beginning the activity. Tha
Externí odkaz:
http://arxiv.org/abs/1704.05543
Publikováno v:
In Computers and Chemical Engineering 4 October 2019 129
Publikováno v:
Proceedings of the 33rd Annual Meeting of the Association for Computational Linguistics, MIT, 1995
In this paper we will present our ongoing work on a plan-based discourse processor developed in the context of the Enthusiast Spanish to English translation system as part of the JANUS multi-lingual speech-to-speech translation system. We will demons
Externí odkaz:
http://arxiv.org/abs/cmp-lg/9504025