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The Effects of Data Size and Frequency Range on Distributional Semantic Models
Magnus Sahlgren, Alessandro Lenci, 2016. Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing.
Compares distributional word-meaning models across corpus sizes and word frequencies, finding that neural models do poorly on small data.
What it's used for here
Listed with other work on word embeddings in the bibliography of the inductive-methods survey.
Cited by on this site 1 record
1 methods surveys
SRCInductive methods
Cite it
Sahlgren, M., & Lenci, A. (2016). The Effects of Data Size and Frequency Range on Distributional Semantic Models. Proceedings of the 2016 Conference on Empirical Methods in Natural
Language Processing. https://doi.org/10.18653/v1/d16-1099@article{sahlgren2016effects,
author = {Sahlgren, Magnus and Lenci, Alessandro},
title = {The Effects of Data Size and Frequency Range on Distributional Semantic Models},
journal = {Proceedings of the 2016 Conference on Empirical Methods in Natural
Language Processing},
year = {2016},
doi = {10.18653/v1/d16-1099},
url = {https://doi.org/10.18653/v1/d16-1099}
}TY - JOUR
TI - The Effects of Data Size and Frequency Range on Distributional Semantic Models
AU - Sahlgren, Magnus
AU - Lenci, Alessandro
PY - 2016
JO - Proceedings of the 2016 Conference on Empirical Methods in Natural
Language Processing
DO - 10.18653/v1/d16-1099
UR - https://doi.org/10.18653/v1/d16-1099
ER - Sahlgren, Magnus and Alessandro Lenci. “The Effects of Data Size and Frequency Range on Distributional Semantic Models.” Proceedings of the 2016 Conference on Empirical Methods in Natural
Language Processing (2016). https://doi.org/10.18653/v1/d16-1099.