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Analogy-based detection of morphological and semantic relations with word embeddings: what works and what doesn't.
Open accessAbstract
Following up on numerous reports of analogybased identification of "linguistic regularities" in word embeddings, this study applies the widely used vector offset method to 4 types of linguistic relations: inflectional and derivational morphology, and lexicographic and encyclopedic semantics.We present a balanced test set with 99,200 questions in 40 categories, and we systematically examine how accuracy for different categories is affected by window size and dimensionality of the SVD-based word embeddings.We also show that GloVe and SVD yield similar patterns of results for different categories, offering further evidence for conceptual similarity between count-based and neural-net based models.
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Cites
Efficient Estimation of Word Representations in Vector Space
Mikolov, T., Chen, K., Corrado, G., & Dean, J. (2013) · arXiv · doi:10.48550/arxiv.1301.3781 · Cited by 26,568
Cited by
Analogical Reasoning on Chinese Morphological and Semantic Relations
Li, S., Zhao, Z., Hu, R., Li, W., Liu, T., & Du, X. (2018) · Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers) · doi:10.18653/v1/p18-2023 · Cited by 438
Conspiracy theories on Twitter: emerging motifs and temporal dynamics during the COVID-19 pandemic
Batzdorfer, V., Steinmetz, H., Biella, M., & Alizadeh, M. (2022) · International Journal of Data Science and Analytics · doi:10.1007/s41060-021-00298-6 · Cited by 38
Analogies minus analogy test: measuring regularities in word embeddings
Fournier, L., Dupoux, E., & Dunbar, E. (2020) · Proceedings of the 24th Conference on Computational Natural Language Learning · doi:10.18653/v1/2020.conll-1.29 · Cited by 19
Wait, But Why?: Assessing Behavior Explanation Strategies for Real-Time Strategy Games
Robertson, J., Kokkinakis, A. V., Hook, J., Kirman, B., Block, F., Ursu, M. F., Patra, S., Demediuk, S., Drachen, A., & Olarewaju, O. (2021) · 26th International Conference on Intelligent User Interfaces · doi:10.1145/3397481.3450699 · Cited by 18
Shao, Z., Yuan, S., Gao, L., He, Y., Yang, D., & Chen, S. (2025) · Proceedings of the 2025 CHI Conference on Human Factors in Computing Systems · doi:10.1145/3706598.3714313 · Cited by 13
Metadata
- Authors
- Gladkova, A., Drozd, A., & Matsuoka, S.
- Venue
- Proceedings of the NAACL Student Research Workshop
- Published
- 2016
- Pages
- 8-15
- OpenAlex
- W2460442863
- Cited by
- 202
- References
- 1
- FWCI
- 11.98
- Type
- conference paper
- Language
- en
- Open access
- gold
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- Gladkova, A., Drozd, A., & Matsuoka, S. (2016). Analogy-based detection of morphological and semantic relations with word embeddings: what works and what doesn't. Proceedings of the NAACL Student Research Workshop. https://doi.org/10.18653/v1/n16-2002
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