Robust Approach to Abbreviating Terms: A Discriminative Latent Variable Model with Global Information

Xu Sun, Naoaki Okazaki, Jun’ichi Tsujii


Anthology ID:
P09-1102
Volume:
Proceedings of the Joint Conference of the 47th Annual Meeting of the ACL and the 4th International Joint Conference on Natural Language Processing of the AFNLP
Month:
August
Year:
2009
Address:
Suntec, Singapore
Editors:
Keh-Yih Su, Jian Su, Janyce Wiebe, Haizhou Li
Venues:
ACL | IJCNLP
SIG:
Publisher:
Association for Computational Linguistics
Note:
Pages:
905–913
Language:
URL:
https://aclanthology.org/P09-1102
DOI:
Bibkey:
Cite (ACL):
Xu Sun, Naoaki Okazaki, and Jun’ichi Tsujii. 2009. Robust Approach to Abbreviating Terms: A Discriminative Latent Variable Model with Global Information. In Proceedings of the Joint Conference of the 47th Annual Meeting of the ACL and the 4th International Joint Conference on Natural Language Processing of the AFNLP, pages 905–913, Suntec, Singapore. Association for Computational Linguistics.
Cite (Informal):
Robust Approach to Abbreviating Terms: A Discriminative Latent Variable Model with Global Information (Sun et al., ACL-IJCNLP 2009)
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PDF:
https://preview.aclanthology.org/landing_page/P09-1102.pdf