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pro vyhledávání: '"Chio, Ellie Ka In"'
Autor:
Ram, Naveen, Kuzmin, Dima, Chio, Ellie Ka In, Alzantot, Moustafa Farid, Ontanon, Santiago, Jash, Ambarish, Li, Judith Yue
In this paper, we analyze the performance of a multitask end-to-end transformer model on the task of conversational recommendations, which aim to provide recommendations based on a user's explicit preferences expressed in dialogue. While previous wor
Externí odkaz:
http://arxiv.org/abs/2305.06218
Autor:
Sodhi, Sukhdeep S., Chio, Ellie Ka-In, Jash, Ambarish, Ontañón, Santiago, Apte, Ajit, Kumar, Ankit, Jeje, Ayooluwakunmi, Kuzmin, Dima, Fung, Harry, Cheng, Heng-Tze, Effrat, Jon, Bali, Tarush, Jindal, Nitin, Cao, Pei, Singh, Sarvjeet, Zhou, Senqiang, Khan, Tameen, Wankhede, Amol, Alzantot, Moustafa, Wu, Allen, Chandra, Tushar
As more and more online search queries come from voice, automatic speech recognition becomes a key component to deliver relevant search results. Errors introduced by automatic speech recognition (ASR) lead to irrelevant search results returned to the
Externí odkaz:
http://arxiv.org/abs/2105.09930
Autor:
Wu, Tao, Chio, Ellie Ka-In, Cheng, Heng-Tze, Du, Yu, Rendle, Steffen, Kuzmin, Dima, Agarwal, Ritesh, Zhang, Li, Anderson, John, Singh, Sarvjeet, Chandra, Tushar, Chi, Ed H., Li, Wen, Kumar, Ankit, Ma, Xiang, Soares, Alex, Jindal, Nitin, Cao, Pei
Many recent advances in neural information retrieval models, which predict top-K items given a query, learn directly from a large training set of (query, item) pairs. However, they are often insufficient when there are many previously unseen (query,
Externí odkaz:
http://arxiv.org/abs/2008.02930
Autor:
Halder, Kishaloy, Cheng, Heng-Tze, Chio, Ellie Ka In, Roumpos, Georgios, Wu, Tao, Agarwal, Ritesh
Users issue queries to Search Engines, and try to find the desired information in the results produced. They repeat this process if their information need is not met at the first place. It is crucial to identify the important words in a query that de
Externí odkaz:
http://arxiv.org/abs/2001.00861