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AUTOLEX: An Automatic Framework for Linguistic Exploration ...
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SD-QA: Spoken Dialectal Question Answering for the Real World ...
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Phoneme Recognition through Fine Tuning of Phonetic Representations: a Case Study on Luhya Language Varieties ...
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Machine Translation into Low-resource Language Varieties ...
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Code to Comment Translation: A Comparative Study on Model Effectiveness & Errors ...
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Systematic Inequalities in Language Technology Performance across the World's Languages ...
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Multilingual Code-Switching for Zero-Shot Cross-Lingual Intent Prediction and Slot Filling ...
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Investigating Post-pretraining Representation Alignment for Cross-Lingual Question Answering ...
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Towards More Equitable Question Answering Systems: How Much More Data Do You Need? ...
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Abstract:
Question answering (QA) in English has been widely explored, but multilingual datasets are relatively new, with several methods attempting to bridge the gap between high- and low-resourced languages using data augmentation through translation and cross-lingual transfer. In this project, we take a step back and study which approaches allow us to take the most advantage of existing resources in order to produce QA systems in many languages. Specifically, we perform extensive analysis to measure the efficacy of few-shot approaches augmented with automatic translations and permutations of context-question-answer pairs. In addition, we make suggestions for future dataset development efforts that make better use of a fixed annotation budget, with a goal of increasing the language coverage of QA datasets and systems. Code and data for reproducing our experiments are available here: https://github.com/NavidRajabi/EMQA. ... : Accepted at ACL 2021 ...
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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.2105.14115 https://arxiv.org/abs/2105.14115
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Cross-Lingual Text Classification of Transliterated Hindi and Malayalam ...
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Evaluating the Morphosyntactic Well-formedness of Generated Texts ...
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Lexically Aware Semi-Supervised Learning for OCR Post-Correction ...
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When is Wall a Pared and when a Muro? -- Extracting Rules Governing Lexical Selection ...
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Towards Minimal Supervision BERT-based Grammar Error Correction ...
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SIGMORPHON 2020 Shared Task 0: Typologically Diverse Morphological Inflection ...
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It's not a Non-Issue: Negation as a Source of Error in Machine Translation ...
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Automatic Extraction of Rules Governing Morphological Agreement ...
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A Summary of the First Workshop on Language Technology for Language Documentation and Revitalization ...
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Universal Phone Recognition with a Multilingual Allophone System ...
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