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A Survey on Recent Approaches for Natural Language Processing in Low-Resource Scenarios

, , , , и . (23.10.2020)
DOI: 10.18653/V1/2021.NAACL-MAIN.201

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Hans Lukas

Siegmar Lukas

Klaus Lukas

Winfried Lukas

Gunther Lukaschek

 

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A Survey on Recent Approaches for Natural Language Processing in Low-Resource Scenarios., , , , и . CoRR, (2020)A Survey on Recent Approaches for Natural Language Processing in Low-Resource Scenarios, , , , и . Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, стр. 2545--2568. Online, Association for Computational Linguistics, (июня 2021)Robust input representations for low-resource information extraction.. Saarland University, Saarbrücken, Germany, (2022)A Survey on Recent Approaches for Natural Language Processing in Low-Resource Scenarios., , , , и . NAACL-HLT, стр. 2545-2568. Association for Computational Linguistics, (2021)SwitchPrompt: Learning Domain-Specific Gated Soft Prompts for Classification in Low-Resource Domains., , , и . EACL, стр. 2681-2687. Association for Computational Linguistics, (2023)TADA: Efficient Task-Agnostic Domain Adaptation for Transformers., , и . ACL (Findings), стр. 487-503. Association for Computational Linguistics, (2023)AnnoCTR: A Dataset for Detecting and Linking Entities, Tactics, and Techniques in Cyber Threat Reports., , , , , , и . LREC/COLING, стр. 1147-1160. ELRA and ICCL, (2024)On the Choice of Auxiliary Languages for Improved Sequence Tagging., , и . RepL4NLP@ACL, стр. 95-102. Association for Computational Linguistics, (2020)NLNDE: Enhancing Neural Sequence Taggers with Attention and Noisy Channel for Robust Pharmacological Entity Detection., , и . BioNLP-OST@EMNLP-IJNCLP, стр. 26-32. Association for Computational Linguistics, (2019)Closing the Gap: Joint De-Identification and Concept Extraction in the Clinical Domain., , и . ACL, стр. 6945-6952. Association for Computational Linguistics, (2020)