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A weakly supervised textual entailment approach to zero-shot text classification.

, , , , , , , и . EACL, стр. 286-296. Association for Computational Linguistics, (2023)

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Nicolau Gonçalves

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I've Seen Things You Machines Wouldn't Believe: Measuring Content Predictability to Identify Automatically-Generated Text., , и . IberLEF@SEPLN, том 3496 из CEUR Workshop Proceedings, CEUR-WS.org, (2023)Mapping STI Ecosystems via Open Data: Overcoming the Limitations of Conflicting Taxonomies. A Case Study for Climate Change Research in Denmark., , , , и . TPDL, том 13541 из Lecture Notes in Computer Science, стр. 495-499. Springer, (2022)Mapping Climate Change Research via Open Repositories & AI: advantages and limitations for an evidence-based R&D policy-making., , , , , и . CoRR, (2022)Mapping STI ecosystems via Open Data: overcoming the limitations of conflicting taxonomies. A case study for Climate Change Research in Denmark., , , , , и . CoRR, (2022)Towards building a monitoring platform for a challenge-oriented smart specialisation with RIS3-MCAT., , , , , , , , , и . CoRR, (2024)A weakly supervised textual entailment approach to zero-shot text classification., , , , , , , и . EACL, стр. 286-296. Association for Computational Linguistics, (2023)