TaxoSBERT: Unsupervised Taxonomy Expansion Through Expressive Semantic Similarity
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Publisher
Springer Nature Switzerland
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-39059-3_20
Reference18 articles.
1. Beltagy, I., Lo, K., Cohan, A.: SciBERT: a pretrained language model for scientific text (2019)
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3. Jiang, M., Song, X., Zhang, J., Han, J.: TaxoEnrich: self-supervised taxonomy completion via structure-semantic representations. In: Proceedings of the ACM Web Conference 2022. ACM (2022). https://doi.org/10.1145/3485447.3511935
4. Manzoor, E., Li, R., Shrouty, D., Leskovec, J.: Expanding taxonomies with implicit edge semantics. In: Proceedings of The Web Conference 2020, pp. 2044–2054. WWW ’20, Association for Computing Machinery, New York, NY, USA (2020). https://doi.org/10.1145/3366423.3380271
5. Mao, Y., et al.: Octet: online catalog taxonomy enrichment with self-supervision. In: Proceedings of the 26th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, pp. 2247–2257. KDD 2020, Association for Computing Machinery, New York, NY, USA (2020). https://doi.org/10.1145/3394486.3403274
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