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ConveRT: Efficient and Accurate Conversational Representations from Transformers
Matthew Henderson
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Iñigo Casanueva
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Nikola Mrkšić
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Pei-Hao Su
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Tsung-Hsien Wen
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Ivan Vulić
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Paper Details:
Month: November
Year: 2020
Location: Online
Venue:
EMNLP |
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https://github.com/PolyAI-LDN/
https://github.com/PolyAI-LDN/
https://ibm.github.io/
https://github.com/PolyAI-LDN/
https://tfhub.dev/google/universal-sentence-encoder-large/5
https://tfhub.dev/tensorflow/bert_en_cased_L-24_H-1024_A-16/2
https://tfhub.dev/google/universal-sentence-encoder-qa/3
https://github.com/PolyAI-LDN/polyai-models
https://parl.ai/projects/polyencoder/
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