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A Neighbourhood Framework for Resource-Lean Content Flagging ...
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A Primer on Contrastive Pretraining in Language Processing: Methods, Lessons Learned and Perspectives ...
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QA Dataset Explosion: A Taxonomy of NLP Resources for Question Answering and Reading Comprehension ...
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Quantifying Gender Bias Towards Politicians in Cross-Lingual Language Models ...
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Few-Shot Cross-Lingual Stance Detection with Sentiment-Based Pre-Training ...
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Can Edge Probing Tasks Reveal Linguistic Knowledge in QA Models? ...
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CiteWorth: Cite-Worthiness Detection for Improved Scientific Document Understanding ...
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How Does Counterfactually Augmented Data Impact Models for Social Computing Constructs? ...
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Quantifying Gender Biases Towards Politicians on Reddit ...
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Semi-Supervised Exaggeration Detection of Health Science Press Releases ...
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Inducing Language-Agnostic Multilingual Representations ...
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SIGTYP 2020 Shared Task: Prediction of Typological Features ...
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X-WikiRE: A Large, Multilingual Resource for Relation Extraction as Machine Comprehension ...
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Abstract:
Although the vast majority of knowledge bases KBs are heavily biased towards English, Wikipedias do cover very different topics in different languages. Exploiting this, we introduce a new multilingual dataset (X-WikiRE), framing relation extraction as a multilingual machine reading problem. We show that by leveraging this resource it is possible to robustly transfer models cross-lingually and that multilingual support significantly improves (zero-shot) relation extraction, enabling the population of low-resourced KBs from their well-populated counterparts. ...
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Keyword:
Computation and Language cs.CL; FOS Computer and information sciences
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URL: https://dx.doi.org/10.48550/arxiv.1908.05111 https://arxiv.org/abs/1908.05111
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TX-Ray: Quantifying and Explaining Model-Knowledge Transfer in (Un-)Supervised NLP ...
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