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pro vyhledávání: '"Fang, Scot"'
Autor:
Arkhangorodsky, Arkady, Fang, Scot, Knight, Victoria, Nagesh, Ajay, Ryskina, Maria, Knight, Kevin
Task-oriented dialog systems are often trained on human/human dialogs, such as collected from Wizard-of-Oz interfaces. However, human/human corpora are frequently too small for supervised training to be effective. This paper investigates two approach
Externí odkaz:
http://arxiv.org/abs/2109.09597
Autor:
Arkhangorodsky, Arkady, Chu, Christopher, Fang, Scot, Huang, Yiqi, Jiang, Denglin, Nagesh, Ajay, Zhang, Boliang, Knight, Kevin
We present MeetDot, a videoconferencing system with live translation captions overlaid on screen. The system aims to facilitate conversation between people who speak different languages, thereby reducing communication barriers between multilingual pa
Externí odkaz:
http://arxiv.org/abs/2109.09577
Autor:
Arkhangorodsky, Arkady, Axelrod, Amittai, Chu, Christopher, Fang, Scot, Huang, Yiqi, Nagesh, Ajay, Shi, Xing, Zhang, Boliang, Knight, Kevin
We create a new task-oriented dialog platform (MEEP) where agents are given considerable freedom in terms of utterances and API calls, but are constrained to work within a push-button environment. We include facilities for collecting human-human dial
Externí odkaz:
http://arxiv.org/abs/2010.04747
We demonstrate a program that learns to pronounce Chinese text in Mandarin, without a pronunciation dictionary. From non-parallel streams of Chinese characters and Chinese pinyin syllables, it establishes a many-to-many mapping between characters and
Externí odkaz:
http://arxiv.org/abs/2010.04744
Akademický článek
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