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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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Abstract:
The goal of stance detection is to determine the viewpoint expressed in a piece of text towards a target. These viewpoints or contexts are often expressed in many different languages depending on the user and the platform, which can be a local news outlet, a social media platform, a news forum, etc. Most research in stance detection, however, has been limited to working with a single language and on a few limited targets, with little work on cross-lingual stance detection. Moreover, non-English sources of labelled data are often scarce and present additional challenges. Recently, large multilingual language models have substantially improved the performance on many non-English tasks, especially such with limited numbers of examples. This highlights the importance of model pre-training and its ability to learn from few examples. In this paper, we present the most comprehensive study of cross-lingual stance detection to date: we experiment with 15 diverse datasets in 12 languages from 6 language families, and ... : Accepted to AAAI 2022 (Preprint version) ...
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Keyword:
Computation and Language cs.CL; FOS Computer and information sciences; Machine Learning cs.LG
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URL: https://arxiv.org/abs/2109.06050 https://dx.doi.org/10.48550/arxiv.2109.06050
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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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TX-Ray: Quantifying and Explaining Model-Knowledge Transfer in (Un-)Supervised NLP ...
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