The DOI matches its Crossref record; 15 of the 15 references it cites were found in a registry or an index.
Analogical Reasoning on Chinese Morphological and Semantic Relations
Open accessAbstract
Analogical reasoning is effective in capturing linguistic regularities.This paper proposes an analogical reasoning task on Chinese.After delving into Chinese lexical knowledge, we sketch 68 implicit morphological relations and 28 explicit semantic relations.A big and balanced dataset CA8 is then built for this task, including 17813 questions.Furthermore, we systematically explore the influences of vector representations, context features, and corpora on analogical reasoning.With the experiments, CA8 is proved to be a reliable benchmark for evaluating Chinese word embeddings.
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Enriching Word Vectors with Subword Information
Bojanowski, P., Grave, E., Joulin, A., & Mikolov, T. (2017) · Transactions of the Association for Computational Linguistics · doi:10.1162/tacl_a_00051 · Cited by 9,645
Linguistic Regularities in Continuous Space Word Representations
Mikolov, T., Yih, W.-T., & Zweig, G. (2013) · Cited by 2,912
Neural Word Embedding as Implicit Matrix Factorization
Levy, O., & Goldberg, Y. (2014) · neural information processing systems · Cited by 1,582
Improving Distributional Similarity with Lessons Learned from Word Embeddings
Levy, O., Goldberg, Y., & Dagan, I. (2015) · Transactions of the Association for Computational Linguistics · doi:10.1162/tacl_a_00134 · Cited by 1,308
Linguistic Regularities in Sparse and Explicit Word Representations
Levy, O., & Goldberg, Y. (2014) · Proceedings of the Eighteenth Conference on Computational Natural Language Learning · doi:10.3115/v1/w14-1618 · Cited by 628
The morphology of Chinese: a linguistic and cognitive approach
(2001) · Choice Reviews Online · doi:10.5860/choice.38-3740 · Cited by 320
Joint learning of character and word embeddings
Chen, X., Xu, L., Liu, Z., Sun, M., & Luan, H. (2015) · International Conference on Artificial Intelligence · Cited by 262
Gladkova, A., Drozd, A., & Matsuoka, S. (2016) · Proceedings of the NAACL Student Research Workshop · doi:10.18653/v1/n16-2002 · Cited by 202
Unsupervised Morphology Induction Using Word Embeddings
Soricut, R., & Och, F. J. (2015) · Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (NAACL-HLT) · doi:10.3115/v1/n15-1186 · Cited by 135
Multi-Granularity Chinese Word Embedding
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Cited by
FLAT: Chinese NER Using Flat-Lattice Transformer
Li, X., Yan, H., Qiu, X., & Huang, X. (2020) · Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics · doi:10.18653/v1/2020.acl-main.611 · Cited by 441
Tang, W., Bu, H., Zuo, Y., & Wu, J. (2024) · Finance Research Letters · doi:10.1016/j.frl.2024.105062 · Cited by 19
Metadata
- Authors
- Li, S., Zhao, Z., Hu, R., Li, W., Liu, T., & Du, X.
- Venue
- Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers)
- Published
- 2018
- Pages
- 138-143
- OpenAlex
- W2963270153
- Cited by
- 438
- References
- 15
- FWCI
- 22.99
- Type
- conference paper
- Language
- en
- Open access
- hybrid
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- Li, S., Zhao, Z., Hu, R., Li, W., Liu, T., & Du, X. (2018). Analogical Reasoning on Chinese Morphological and Semantic Relations. Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers). https://doi.org/10.18653/v1/p18-2023
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