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Found 5 papers, 1 papers with code
Generating High-Quality and Informative Conversation Responses with Sequence-to-Sequence Models
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.
Massive Exploration of Neural Machine Translation Architectures
Neural Machine Translation (NMT) has shown remarkable progress over the past few years with production systems now being deployed to end-users.
Efficient Attention using a Fixed-Size Memory Representation
The standard content-based attention mechanism typically used in sequence-to-sequence models is computationally expensive as it requires the comparison of large encoder and decoder states at each time step.
JESC: Japanese-English Subtitle Corpus
In this paper we describe the Japanese-English Subtitle Corpus (JESC).
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