Low-Resource NLP AND Arxiv Doc
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16 Documents
[2309.06131] Annotating Data for Fine-Tuning a Neural Ranker? Current Active Learning Strategies are not Better than Random Selection
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2023-09-14 About
[2203.09435] Expanding Pretrained Models to Thousands More Languages via Lexicon-based Adaptation
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2022-09-08 About
[2209.00099] Efficient Methods for Natural Language Processing: A Survey
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2022-09-04 About
[1807.00745] Training a Neural Network in a Low-Resource Setting on Automatically Annotated Noisy Data
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2022-07-18 About
[2205.03983] Building Machine Translation Systems for the Next Thousand Languages
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2022-05-10 About
[1910.06294] Training Compact Models for Low Resource Entity Tagging using Pre-trained Language Models
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2022-03-31 About
[2004.05119] Beyond Fine-tuning: Few-Sample Sentence Embedding Transfer
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2022-03-31 About
[2112.01488] ColBERTv2: Effective and Efficient Retrieval via Lightweight Late Interaction
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2021-12-05 About
[1911.02655] Towards Domain Adaptation from Limited Data for Question Answering Using Deep Neural Networks
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2021-11-19 About
[2108.13854] Contrastive Domain Adaptation for Question Answering using Limited Text Corpora
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2021-11-19 About
[1706.03610] Neural Domain Adaptation for Biomedical Question Answering
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2021-11-19 About
[2004.09095] The State and Fate of Linguistic Diversity and Inclusion in the NLP World
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2021-10-03 About
[2010.02353] Participatory Research for Low-resourced Machine Translation: A Case Study in African Languages
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2021-08-25 About
[2107.00676] A Primer on Pretrained Multilingual Language Models
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2021-07-13 About
[2010.12309] A Survey on Recent Approaches for Natural Language Processing in Low-Resource Scenarios
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2021-07-06 About
[2006.07264] Low-resource Languages: A Review of Past Work and Future Challenges
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2021-07-06 About