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Sentence-T5: Scalable Sentence Encoders from Pre-trained Text-to-Text Models.

, , , , , , и . ACL (Findings), стр. 1864-1874. Association for Computational Linguistics, (2022)

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Caren Christine Keith

Jon Franz Keith

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Projecting the Knowledge Graph to Syntactic Parsing., и . EACL, стр. 28-32. The Association for Computer Linguistics, (2014)Processing South Asian Languages Written in the Latin Script: the Dakshina Dataset., , , , , , и . LREC, стр. 2413-2423. European Language Resources Association, (2020)Training dependency parsers by jointly optimizing multiple objectives., , , и . EMNLP, стр. 1489-1499. ACL, (2011)Gazpacho and summer rash: lexical relationships from temporal patterns of web search queries., , и . EMNLP, стр. 1046-1055. ACL, (2009)Long short-term memory language models with additive morphological features for automatic speech recognition., и . ICASSP, стр. 5246-5250. IEEE, (2015)Backoff inspired features for maximum entropy language models., , , и . INTERSPEECH, стр. 2645-2649. ISCA, (2014)Promptagator: Few-shot Dense Retrieval From 8 Examples., , , , , , , , , и . ICLR, OpenReview.net, (2023)Distributed Training Strategies for the Structured Perceptron., , и . HLT-NAACL, стр. 456-464. The Association for Computational Linguistics, (2010)Corrective Modeling for Non-Projective Dependency Parsing., и . IWPT, стр. 42-52. Association for Computational Linguistics, (2005)Russian Stress Prediction using Maximum Entropy Ranking., и . EMNLP, стр. 879-883. ACL, (2013)