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EuSQuAD: Automatically Translated and Aligned SQuAD2.0 for Basque

arXiv 2404.12177 ↗First posted 18 Apr 2024cs.CLcited by 0

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Abstract (arXiv)

The widespread availability of Question Answering (QA) datasets in English has greatly facilitated the advancement of the Natural Language Processing (NLP) field. However, the scarcity of such resources for minority languages, such as Basque, poses a substantial challenge for these communities. In this context, the translation and alignment of existing QA datasets plays a crucial role in narrowing this technological gap. This work presents EuSQuAD, the first initiative dedicated to automatically translating and aligning SQuAD2.0 into Basque, resulting in more than 142k QA examples. We demonstrate EuSQuAD's value through extensive qualitative analysis and QA experiments supported with EuSQuAD as training data. These experiments are evaluated with a new human-annotated dataset.

Key facts. No citing papers in the map yet (data through 14 Oct 2026). Builds on 17 of its 29 references that are in the map. First posted on arXiv 18 Apr 2024.

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References · 17

  1. 2018BERT: Pre-training of Deep Bidirectional Transformers for Language Understandingcited by 40,399
  2. 2016SQuAD: 100,000+ Questions for Machine Comprehension of Textcited by 4,148
  3. 2021Finetuned Language Models Are Zero-Shot Learnerscited by 3,780
  4. 2017TriviaQA: A Large Scale Distantly Supervised Challenge Dataset for Reading Comprehensioncited by 2,955
  5. 2018Know What You Don't Know: Unanswerable Questions for SQuADcited by 1,554
  6. 2016Google's Neural Machine Translation System: Bridging the Gap between Human and Machine Translationcited by 1,475
  7. 2022Super-NaturalInstructions: Generalization via Declarative Instructions on 1600+ NLP Taskscited by 868
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  9. 2019On the Cross-lingual Transferability of Monolingual Representationscited by 578
  10. 2018QuAC : Question Answering in Contextcited by 381
  11. 2021CANINE: Pre-training an Efficient Tokenization-Free Encoder for Language Representationcited by 232
  12. 2020FQuAD: French Question Answering Datasetcited by 58
5 more
  1. 2019Neural Arabic Question Answeringcited by 48
  2. 2020A Survey on Machine Reading Comprehension: Tasks, Evaluation Metrics and Benchmark Datasetscited by 40
  3. 2019Automatic Spanish Translation of the SQuAD Dataset for Multilingual Question Answeringcited by 35
  4. 2020Give your Text Representation Models some Love: the Case for Basquecited by 28
  5. 2021A Survey on non-English Question Answering Datasetcited by 5

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