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title
Massive Choice, Ample Tasks (MaChAmp)
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[“A Toolkit for Multi-task Learning in NLP”]
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2026-02-16 09:32:50
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Massive Choice, Ample Tasks (MaChAmp) | MaChAmp: Massive Choise Ample tasks Massive Choice, Ample Tasks (MaChAmp) A Toolkit for Multi-task Learning in NLP Massive Choice, Ample Tasks (MaChAmp) This websites introduces MaChAmp and provides an overview of code and papers that use MaChAmp. We are proud to annouce that MaChAmp has received an EACL 2021 outstanding paper award (demo track)! Abstract Transfer learning, particularly approaches that combine multi-task learning with pre-trained contextualized embeddings and fine-tuning, have advanced the field of Natural Language Processing tremendously in recent years. In this paper we present MaChAmp, a toolkit for easy fine-tuning of contextualized embeddings in multi-task settings. The benefits of MaChAmp are its flexible configuration options, and the support of a variety of natural language processing tasks in a uniform toolkit, from text classification and sequence labeling to dependency parsing, masked language mode...
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