Yo Ehara. Analyzing Similarities between Word Frequency Distributions of Various Corpora to Find Effective Features for Complex Word Identification. In Panagiotis Papapetrou, Xueqi Cheng, Qing He, editors, 2019 International Conference on Data Mining Workshops, ICDM Workshops 2019, Beijing, China, November 8-11, 2019. pages 1-4, IEEE, 2019. [doi]
@inproceedings{Ehara19-0,
title = {Analyzing Similarities between Word Frequency Distributions of Various Corpora to Find Effective Features for Complex Word Identification},
author = {Yo Ehara},
year = {2019},
doi = {10.1109/ICDMW48858.2019.9024753},
url = {https://doi.org/10.1109/ICDMW48858.2019.9024753},
researchr = {https://researchr.org/publication/Ehara19-0},
cites = {0},
citedby = {0},
pages = {1-4},
booktitle = {2019 International Conference on Data Mining Workshops, ICDM Workshops 2019, Beijing, China, November 8-11, 2019},
editor = {Panagiotis Papapetrou and Xueqi Cheng and Qing He},
publisher = {IEEE},
isbn = {978-1-7281-4896-0},
}