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%0 Conference Proceedings
%T 表示法學習技術於節錄式語音文件摘要之研究(A Study on Representation Learning Techniques for Extractive Spoken Document Summarization) [In Chinese]
%A Shih, Kai-Wun
%A Chen, Berlin
%A Chen, Kuan-Yu
%A Liu, Shih-Hung
%A Wang, Hsin-Min
%Y Chen, Sin-Horng
%Y Wang, Hsin-Min
%Y Chien, Jen-Tzung
%S Proceedings of the 27th Conference on Computational Linguistics and Speech Processing (ROCLING 2015)
%D 2015
%8 October
%I The Association for Computational Linguistics and Chinese Language Processing (ACLCLP)
%C Hsinchu, Taiwan
%F shih-etal-2015-biao
%U https://aclanthology.org/O15-1001
%P 1-3

Markdown (Informal)

[表示法學習技術於節錄式語音文件摘要之研究(A Study on Representation Learning Techniques for Extractive Spoken Document Summarization) [In Chinese]](https://aclanthology.org/O15-1001) (Shih et al., ROCLING 2015)

• 表示法學習技術於節錄式語音文件摘要之研究(A Study on Representation Learning Techniques for Extractive Spoken Document Summarization) [In Chinese] (Shih et al., ROCLING 2015)

ACL

• Kai-Wun Shih, Berlin Chen, Kuan-Yu Chen, Shih-Hung Liu, and Hsin-Min Wang. 2015. 表示法學習技術於節錄式語音文件摘要之研究(A Study on Representation Learning Techniques for Extractive Spoken Document Summarization) [In Chinese]. In Proceedings of the 27th Conference on Computational Linguistics and Speech Processing (ROCLING 2015), pages 1–3, Hsinchu, Taiwan. The Association for Computational Linguistics and Chinese Language Processing (ACLCLP).