Papers with multi-sentence inference
Looking Beyond the Surface: A Challenge Set for Reading Comprehension over Multiple Sentences (N18-1)
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| Challenge: | Using a dataset of 6,500+ questions, we found that human solvers achieved an F1-score of 88.1%. |
| Approach: | They propose a reading comprehension challenge in which questions can only be answered by taking into account information from multiple sentences. |
| Outcome: | The proposed reading comprehension challenge is based on a reading comprehension dataset with 6,500+ questions and 1000+ paragraphs across 7 domains. |
A Span-Extraction Dataset for Chinese Machine Reading Comprehension (D19-1)
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| Challenge: | Existing reading comprehension datasets are mostly in English . MRC is a new field of research that aims to comprehend the context of articles and answer the questions based on them. |
| Approach: | They propose a Span-Extraction dataset for Chinese machine reading comprehension to add language diversities to existing reading comprehension datasets. |
| Outcome: | The proposed dataset is composed of 20,000 real questions annotated on Wikipedia paragraphs by human experts. |