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Zero-shot Reading Comprehension by Cross-lingual Transfer Learning with Multi-lingual Language Representation Model

arXiv 1909.09587 ↗First posted 15 Sep 2019cs.CL cs.LG stat.MLcited by 18

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Abstract (arXiv)

Because it is not feasible to collect training data for every language, there is a growing interest in cross-lingual transfer learning. In this paper, we systematically explore zero-shot cross-lingual transfer learning on reading comprehension tasks with a language representation model pre-trained on multi-lingual corpus. The experimental results show that with pre-trained language representation zero-shot learning is feasible, and translating the source data into the target language is not necessary and even degrades the performance. We further explore what does the model learn in zero-shot setting.

Key facts. Cited by 18 papers in the map (data through 7 Oct 2026). First posted on arXiv 15 Sep 2019.

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Citing papers per year: 2021: 5; 2022: 6; 2023: 4; 2024: 3.

18 papers.

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  1. 2021When is BERT Multilingual? Isolating Crucial Ingredients for Cross-lingual Transfercited by 41
  2. 2022Out of Thin Air: Is Zero-Shot Cross-Lingual Keyword Detection Better Than Unsupervised?cited by 7
  3. 2022Learning Disentangled Semantic Representations for Zero-Shot Cross-Lingual Transfer in Multilingual Machine Reading Comprehensioncited by 6
  4. 2022Por Qu'e N~ao Utiliser Alla Spraak? Mixed Training with Gradient Optimization in Few-Shot Cross-Lingual Transfercited by 6
  5. 2022ALIGN-MLM: Word Embedding Alignment is Crucial for Multilingual Pre-trainingcited by 6
  6. 2023On Evaluating Multilingual Compositional Generalization with Translated Datasetscited by 6
  7. 2021Zero-Shot Cross-Lingual Dependency Parsing through Contextual Embedding Transformationcited by 5
  8. 2022The Impact of Cross-Lingual Adjustment of Contextual Word Representations on Zero-Shot Transfercited by 5
  9. 2021The Effectiveness of Intermediate-Task Training for Code-Switched Natural Language Understandingcited by 4
  10. 2021Zero-Shot Cross-Lingual Machine Reading Comprehension via Inter-sentence Dependency Graphcited by 2
  11. 2023Analysing Cross-Lingual Transfer in Low-Resourced African Named Entity Recognitioncited by 2
  12. 2023Low-Resource Clickbait Spoiling for Indonesian via Question Answeringcited by 2
6 more
  1. 2021Improving Cross-Lingual Reading Comprehension with Self-Trainingcited by 1
  2. 2023Promoting Generalized Cross-lingual Question Answering in Few-resource Scenarios via Self-knowledge Distillationcited by 1
  3. 2024Incorporating Lexical and Syntactic Knowledge for Unsupervised Cross-Lingual Transfercited by 1
  4. 2024Evaluating and explaining training strategies for zero-shot cross-lingual news sentiment analysiscited by 1
  5. 2022An Understanding-Oriented Robust Machine Reading Comprehension Modelcited by 0
  6. 2024ThaiCoref: Thai Coreference Resolution Datasetcited by 0