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]
Kai-Wun Shih, Berlin Chen, Kuan-Yu Chen, Shih-Hung Liu, Hsin-Min Wang
- Anthology ID:
- O15-1001
- Volume:
- Proceedings of the 27th Conference on Computational Linguistics and Speech Processing (ROCLING 2015)
- Month:
- October
- Year:
- 2015
- Address:
- Hsinchu, Taiwan
- Editors:
- Sin-Horng Chen, Hsin-Min Wang, Jen-Tzung Chien
- Venue:
- ROCLING
- SIG:
- Publisher:
- The Association for Computational Linguistics and Chinese Language Processing (ACLCLP)
- Note:
- Pages:
- 1–3
- Language:
- URL:
- https://preview.aclanthology.org/icon-24-ingestion/O15-1001/
- DOI:
- Cite (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).
- Cite (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] (Shih et al., ROCLING 2015)
- PDF:
- https://preview.aclanthology.org/icon-24-ingestion/O15-1001.pdf