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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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Improved Spoken Document Summarization Using Probabilistic Latent Semantic Analysis (PLSA)., and . ICASSP (1), page 941-944. IEEE, (2006)Multi-layered summarization of spoken document archives by information extraction and semantic structuring., , , , and . INTERSPEECH, ISCA, (2006)Learning Semantic Textual Similarity from Conversations., , , , , , , , , and . Rep4NLP@ACL, page 164-174. Association for Computational Linguistics, (2018)A Multi-layered Summarization System for Multi-media Archives by Understanding and Structuring of Chinese Spoken Documents., , , , , and . ISCSLP, volume 4274 of Lecture Notes in Computer Science, page 683-692. Springer, (2006)Automatic title generation for Chinese spoken documents with a delicate scored Viterbi algorithm., , , and . SLT, page 165-168. IEEE, (2008)Improved Summarization of Chinese spoken Documents by Probabilistic Latent Semantic Analysis (PLSA) with Further Analysis and Integrated Scoring., and . SLT, page 26-29. IEEE, (2006)Universal Sentence Encoder for English., , , , , , , , , and 2 other author(s). EMNLP (Demonstration), page 169-174. Association for Computational Linguistics, (2018)Automatic key term extraction from spoken course lectures using branching entropy and prosodic/semantic features., , , and . SLT, page 265-270. IEEE, (2010)Semantic Analysis and Organization of Spoken Documents Based on Parameters Derived From Latent Topics., and . IEEE Trans. Speech Audio Process., 19 (7): 1875-1889 (2011)Universal Sentence Encoder., , , , , , , , , and 3 other author(s). CoRR, (2018)