Search Results for author: Ray Kurzweil

Found 12 papers, 3 papers with code

Universal Sentence Encoder

23 code implementations29 Mar 2018 Daniel Cer, Yinfei Yang, Sheng-yi Kong, Nan Hua, Nicole Limtiaco, Rhomni St. John, Noah Constant, Mario Guajardo-Cespedes, Steve Yuan, Chris Tar, Yun-Hsuan Sung, Brian Strope, Ray Kurzweil

For both variants, we investigate and report the relationship between model complexity, resource consumption, the availability of transfer task training data, and task performance.

Conversational Response Selection Semantic Textual Similarity +6

Efficient Natural Language Response Suggestion for Smart Reply

no code implementations1 May 2017 Matthew Henderson, Rami Al-Rfou, Brian Strope, Yun-Hsuan Sung, Laszlo Lukacs, Ruiqi Guo, Sanjiv Kumar, Balint Miklos, Ray Kurzweil

This paper presents a computationally efficient machine-learned method for natural language response suggestion.

Generating High-Quality and Informative Conversation Responses with Sequence-to-Sequence Models

no code implementations EMNLP 2017 Louis Shao, Stephan Gouws, Denny Britz, Anna Goldie, Brian Strope, Ray Kurzweil

Sequence-to-sequence models have been applied to the conversation response generation problem where the source sequence is the conversation history and the target sequence is the response.

Response Generation Translation

Conversational Contextual Cues: The Case of Personalization and History for Response Ranking

no code implementations1 Jun 2016 Rami Al-Rfou, Marc Pickett, Javier Snaider, Yun-Hsuan Sung, Brian Strope, Ray Kurzweil

Unlike previous efforts, which focused on modeling messages and responses, we extend the modeling to long context and participant's history.

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