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pro vyhledávání: '"Shi, Kelly"'
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:
Zadeh, Amir, Mao, Chengfeng, Shi, Kelly, Zhang, Yiwei, Liang, Paul Pu, Poria, Soujanya, Morency, Louis-Philippe
The complex world around us is inherently multimodal and sequential (continuous). Information is scattered across different modalities and requires multiple continuous sensors to be captured. As machine learning leaps towards better generalization to
Externí odkaz:
http://arxiv.org/abs/1911.09826
Akademický článek
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Autor:
Shi, Kelly, Yinglin Ma, Cheng, Yuan, Ackerman, Jacqueline, Alborough, Lesley, Boeing, Tessa, Olson, Laura, Yang, Yongzheng, Lall, Saurabh A., Moody, Michael, Hersey, Leigh, Wiepking, Pamala, Cleveland, William, Meyer, Seth, Seller, Sheryl, Chapman, Cassandra M., Body, Ali, Lideikyte-Huber, Giedre, Anne-Claire Pache, Browning, Sophia, Ebeid, Islam Akef, Noetel, Michael, Kidist Ibrie Yasin, Ugazio, Giuseppe, Furneaux, Craig, Motyka, Moritz, Li, Hui, Lott, Cindy, Gautier, Arthur, Huijun, Li, Cutler, Jo, Steinberg, Richard, Dhriti Stocks, Zbignev Gricevic, Meiying Xu, Kumar, Arun, Hu, Ming, O'Connor, Heather, Bekkers, Rene, Osili, Una, Schieferdecker, David, H. Daniel Heist, Mesch, Debra, Masser, Barbara, Ladd, Kevin L., Putnam Barber, Beltran, Diego Guevara, Williamson, Alexandra, Ma, Ji, Radovanovic, Bojana, Hansen, Ruth, Yuxin Lan, George, Lucinda, Graf, Caroline, Erlandsson, Arvid, Femida Handy, Ellenwood, Cheryl, Van Den Berghe, André, Russell, Allison, Gugerty, Mary Kay, Robinson, Angela R, Waklatsi, Avery, Xiaonan Kou, Euh, Hyun, Reinstein, David, Mayer, Lloyd, Chen, Can, Zarins, Sasha, Bhati, Abhishek, Schröder, Joris Melchior, Doan, Dana, Scaife, Wendy, Schatteman, Alicia, Yali Pang, De Wit, Arjen, Li, Huafang
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4ed347a8fd1cfc2b1a991f532e22e25b
Autor:
Shi, Kelly *, Tan, Cindy *, Bai, Lu *, Richardson, Jennifer *, Deng, Andy *, Will, Matthias, Brehm, Michael *, Greiner, Dale *, Shultz, Leonard *, Teramo, Antonella *, Zambello, Renato *, Feith, David J *, Loughran, Thomas P., Jr., Tomasevic, Nenad *
Publikováno v:
In Blood 15 November 2022 140 Supplement 1:2259-2260
Autor:
Mika Hämäläinen, Khalid Alnajjar
We construct the first ever multimodal sarcasm dataset for Spanish. The audiovisual dataset consists of sarcasm annotated text that is aligned with video and audio. The dataset represents two varieties of Spanish, a Latin American variety and a Penin
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::56ee944fcf904f77bbc4862f21c937b7
http://hdl.handle.net/10138/330204
http://hdl.handle.net/10138/330204
Autor:
Lee GL; Department of Internal Medicine, Singapore General Hospital, Singapore, SGP., Teo A; Department of Internal Medicine, Singapore General Hospital, Singapore, SGP., Ho A; Department of Internal Medicine, Singapore General Hospital, Singapore, SGP., Chu M; Department of Internal Medicine, Singapore General Hospital, Singapore, SGP., Chng YK; Eunos Polyclinic, Singhealth Polyclinics, Singapore, SGP.; Singhealth-Duke NUS Family Medicine Academic Clinical Program, Singhealth, Singapore, SGP., Sri Kumaran S; Department of Internal Medicine, Singapore General Hospital, Singapore, SGP.
Publikováno v:
Cureus [Cureus] 2024 Jun 25; Vol. 16 (6), pp. e63102. Date of Electronic Publication: 2024 Jun 25 (Print Publication: 2024).