Can Symbol Grounding Improve Low-Level NLP? Word Segmentation as a Case Study

Hirotaka Kameko, Shinsuke Mori, Yoshimasa Tsuruoka


Anthology ID:
D15-1277
Volume:
Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing
Month:
September
Year:
2015
Address:
Lisbon, Portugal
Editors:
Lluís Màrquez, Chris Callison-Burch, Jian Su
Venue:
EMNLP
SIG:
SIGDAT
Publisher:
Association for Computational Linguistics
Note:
Pages:
2298–2303
Language:
URL:
https://aclanthology.org/D15-1277
DOI:
10.18653/v1/D15-1277
Bibkey:
Cite (ACL):
Hirotaka Kameko, Shinsuke Mori, and Yoshimasa Tsuruoka. 2015. Can Symbol Grounding Improve Low-Level NLP? Word Segmentation as a Case Study. In Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing, pages 2298–2303, Lisbon, Portugal. Association for Computational Linguistics.
Cite (Informal):
Can Symbol Grounding Improve Low-Level NLP? Word Segmentation as a Case Study (Kameko et al., EMNLP 2015)
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PDF:
https://aclanthology.org/D15-1277.pdf