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Probing for Semantic Classes: Diagnosing the Meaning Content of Word Embeddings.

, , , , and . ACL (1), page 5740-5753. Association for Computational Linguistics, (2019)

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A Comparison of Classifiers and Document Representations for the Routing Problem, , and . 18th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, page 229-237. (1995)Projections for Efficient Document Clustering, and . Proceedings of the Twentieth Annual ACM SIGIR Conference on Research and Development in Information Retrieval, page 74--81. (1997)Information Retrieval based on Word Senses, and . Proceedings of the 4th Annual Symposium on Document Analysis and Information Retrieval, page 161--175. Las Vegas, USA, (1995)Dimensions of meaning. Proceedings of Supercomputing '92, Minneapolis., page 787--796. (1992)Word Sense Disambiguattion, and . (1999)Abbreviation of Chapter~7 in~Manning:1999.Automatic acquisition of vernacular places., and . iiWAS, page 662-665. ACM, (2008)Fine-Grained Geographical Relation Extraction from Wikipedia., and . LREC, European Language Resources Association, (2010)Foundations of statistical natural language processing, and . MIT Press, (1999)Static Embeddings as Efficient Knowledge Bases?, , and . NAACL-HLT, page 2353-2363. Association for Computational Linguistics, (2021)It's Not Just Size That Matters: Small Language Models Are Also Few-Shot Learners., and . NAACL-HLT, page 2339-2352. Association for Computational Linguistics, (2021)