Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Guo, Fenfei"'
Autor:
Guo, Fenfei, Zhang, Chen, Zhang, Zhirui, He, Qixin, Zhang, Kejun, Xie, Jun, Boyd-Graber, Jordan
This paper develops automatic song translation (AST) for tonal languages and addresses the unique challenge of aligning words' tones with melody of a song in addition to conveying the original meaning. We propose three criteria for effective AST -- p
Externí odkaz:
http://arxiv.org/abs/2203.13420
Autor:
Liang, Yaobo, Duan, Nan, Gong, Yeyun, Wu, Ning, Guo, Fenfei, Qi, Weizhen, Gong, Ming, Shou, Linjun, Jiang, Daxin, Cao, Guihong, Fan, Xiaodong, Zhang, Ruofei, Agrawal, Rahul, Cui, Edward, Wei, Sining, Bharti, Taroon, Qiao, Ying, Chen, Jiun-Hung, Wu, Winnie, Liu, Shuguang, Yang, Fan, Campos, Daniel, Majumder, Rangan, Zhou, Ming
In this paper, we introduce XGLUE, a new benchmark dataset that can be used to train large-scale cross-lingual pre-trained models using multilingual and bilingual corpora and evaluate their performance across a diverse set of cross-lingual tasks. Com
Externí odkaz:
http://arxiv.org/abs/2004.01401
Methods for learning word sense embeddings represent a single word with multiple sense-specific vectors. These methods should not only produce interpretable sense embeddings, but should also learn how to select which sense to use in a given context.
Externí odkaz:
http://arxiv.org/abs/1804.08077
Autor:
Guo, Fenfei, Metallinou, Angeliki, Khatri, Chandra, Raju, Anirudh, Venkatesh, Anu, Ram, Ashwin
Publikováno v:
Nips.Workshop.ConversationalAI 2017-12-08
Dialog evaluation is a challenging problem, especially for non task-oriented dialogs where conversational success is not well-defined. We propose to evaluate dialog quality using topic-based metrics that describe the ability of a conversational bot t
Externí odkaz:
http://arxiv.org/abs/1801.03622
Autor:
Venkatesh, Anu, Khatri, Chandra, Ram, Ashwin, Guo, Fenfei, Gabriel, Raefer, Nagar, Ashish, Prasad, Rohit, Cheng, Ming, Hedayatnia, Behnam, Metallinou, Angeliki, Goel, Rahul, Yang, Shaohua, Raju, Anirudh
Publikováno v:
NIPS.Workshop.ConversationalAI 2017-12-08 http://alborz-geramifard.com/workshops/nips17-Conversational-AI/Main.html accessed 2018-01-01
Conversational agents are exploding in popularity. However, much work remains in the area of non goal-oriented conversations, despite significant growth in research interest over recent years. To advance the state of the art in conversational AI, Ama
Externí odkaz:
http://arxiv.org/abs/1801.03625
Publikováno v:
2014 IEEE 26th International Conference on Tools with Artificial Intelligence; 2014, p251-258, 8p
Publikováno v:
Digital Human Modeling (9783642028083); 2009, p624-631, 8p