- Anthology ID:
- W00-1321
- Volume:
- 2000 Joint SIGDAT Conference on Empirical Methods in Natural Language Processing and Very Large Corpora
- Month:
- October
- Year:
- 2000
- Address:
- Hong Kong, China
- Venues:
- VLC | EMNLP
- SIG:
- SIGDAT
- Publisher:
- Association for Computational Linguistics
- Note:
- Pages:
- 164–171
- Language:
- URL:
- https://preview.aclanthology.org/build-pipeline-with-new-library/W00-1321/
- DOI:
- 10.3115/1117794.1117815
- Cite (ACL):
- Sung Dong Kim, Byoung-Tak Zhang, and Yung Taek Kim. 2000. Reducing Parsing Complexity by Intra-Sentence Segmentation based on Maximum Entropy Model. In 2000 Joint SIGDAT Conference on Empirical Methods in Natural Language Processing and Very Large Corpora, pages 164–171, Hong Kong, China. Association for Computational Linguistics.
- Cite (Informal):
- Reducing Parsing Complexity by Intra-Sentence Segmentation based on Maximum Entropy Model (Kim et al., VLC-EMNLP 2000)
- PDF:
- https://preview.aclanthology.org/build-pipeline-with-new-library/W00-1321.pdf