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Improved statistical machine translation using monolingual paraphrases ...
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Slav-NER: the 3rd Cross-lingual Challenge on Recognition, Normalization, Classification, and Linking of Named Entities across Slavic languages ...
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Slav-NER: the 3rd Cross-lingual Challenge on Recognition, Normalization, Classification, and Linking of Named Entities across Slavic languages ...
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A Neighbourhood Framework for Resource-Lean Content Flagging ...
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Few-Shot Cross-Lingual Stance Detection with Sentiment-Based Pre-Training ...
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SemEval-2021 Task 6: Detection of Persuasion Techniques in Texts and Images ...
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SOLID: A Large-Scale Semi-Supervised Dataset for Offensive Language Identification ...
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SUper Team at SemEval-2016 Task 3: Building a feature-rich system for community question answering ...
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Feature-Rich Named Entity Recognition for Bulgarian Using Conditional Random Fields ...
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RuleBERT: Teaching Soft Rules to Pre-Trained Language Models ...
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SemEval-2020 Task 12: Multilingual Offensive Language Identification in Social Media (OffensEval 2020) ...
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On a Novel Application of Wasserstein-Procrustes for Unsupervised Cross-Lingual Learning ...
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EXAMS: A Multi-Subject High School Examinations Dataset for Cross-Lingual and Multilingual Question Answering ...
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Abstract:
We propose EXAMS -- a new benchmark dataset for cross-lingual and multilingual question answering for high school examinations. We collected more than 24,000 high-quality high school exam questions in 16 languages, covering 8 language families and 24 school subjects from Natural Sciences and Social Sciences, among others. EXAMS offers a fine-grained evaluation framework across multiple languages and subjects, which allows precise analysis and comparison of various models. We perform various experiments with existing top-performing multilingual pre-trained models and we show that EXAMS offers multiple challenges that require multilingual knowledge and reasoning in multiple domains. We hope that EXAMS will enable researchers to explore challenging reasoning and knowledge transfer methods and pre-trained models for school question answering in various languages which was not possible before. The data, code, pre-trained models, and evaluation are available at https://github.com/mhardalov/exams-qa. ... : EMNLP 2020, 17 pages, 6 figures, 8 tables ...
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Keyword:
Artificial Intelligence cs.AI; Computation and Language cs.CL; FOS Computer and information sciences; Information Retrieval cs.IR; Machine Learning cs.LG
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URL: https://dx.doi.org/10.48550/arxiv.2011.03080 https://arxiv.org/abs/2011.03080
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SemEval-2020 Task 12: Multilingual Offensive Language Identification in Social Media (OffensEval 2020) ...
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SemEval-2020 Task 12: Multilingual Offensive Language Identification in Social Media (OffensEval 2020) ...
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What Was Written vs. Who Read It: News Media Profiling Using Text Analysis and Social Media Context ...
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SemEval-2020 Task 11: Detection of Propaganda Techniques in News Articles ...
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