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

Hirotaka Kameko, Shinsuke Mori, Yoshimasa Tsuruoka. Can Symbol Grounding Improve Low-Level NLP? Word Segmentation as a Case Study. In Lluís Màrquez, Chris Callison-Burch, Jian Su, Daniele Pighin, Yuval Marton, editors, Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing, EMNLP 2015, Lisbon, Portugal, September 17-21, 2015. pages 2298-2303, The Association for Computational Linguistics, 2015. [doi]

@inproceedings{KamekoMT15,
  title = {Can Symbol Grounding Improve Low-Level NLP? Word Segmentation as a Case Study},
  author = {Hirotaka Kameko and Shinsuke Mori and Yoshimasa Tsuruoka},
  year = {2015},
  url = {http://aclweb.org/anthology/D/D15/D15-1277.pdf},
  researchr = {https://researchr.org/publication/KamekoMT15},
  cites = {0},
  citedby = {0},
  pages = {2298-2303},
  booktitle = {Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing, EMNLP 2015, Lisbon, Portugal, September 17-21, 2015},
  editor = {Lluís Màrquez and Chris Callison-Burch and Jian Su and Daniele Pighin and Yuval Marton},
  publisher = {The Association for Computational Linguistics},
  isbn = {978-1-941643-32-7},
}