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Learning Semantic Textual Similarity from Conversations.

, , , , , , , , , and . Rep4NLP@ACL, page 164-174. Association for Computational Linguistics, (2018)

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How to create a mind: The secret of human thought revealed. Penguin Books, (2013)Improving Multilingual Sentence Embedding using Bi-directional Dual Encoder with Additive Margin Softmax., , , , , , , , and . IJCAI, page 5370-5378. ijcai.org, (2019)Learning Semantic Textual Similarity from Conversations., , , , , , , , , and . Rep4NLP@ACL, page 164-174. Association for Computational Linguistics, (2018)The society of intelligent veillance., , and . ISTAS, page 13-17. IEEE, (2013)Effective Parallel Corpus Mining using Bilingual Sentence Embeddings., , , , , , , , , and 1 other author(s). WMT, page 165-176. Association for Computational Linguistics, (2018)The age of spiritural machines. Viking, New York, (1999)Generating Long and Diverse Responses with Neural Conversation Models., , , , , and . CoRR, (2017)universal-sentence-encoder-xling/en-de | English and German language-agnostic text encoder., , , , , , , , and . online, (2018)Generating High-Quality and Informative Conversation Responses with Sequence-to-Sequence Models., , , , , and . EMNLP, page 2210-2219. Association for Computational Linguistics, (2017)Universal Sentence Encoder for English., , , , , , , , , and 2 other author(s). EMNLP (Demonstration), page 169-174. Association for Computational Linguistics, (2018)