MCTest: A Challenge Dataset for the Open-Domain Machine Comprehension of Text
Microsoft (United States) · Microsoft Research (United Kingdom)
Abstract
We present MCTest, a freely available set of stories and associated questions intended for research on the machine comprehension of text.Previous work on machine comprehension (e.g., semantic modeling) has made great strides, but primarily focuses either on limited-domain datasets, or on solving a more restricted goal (e.g., open-domain relation extraction).In contrast, MCTest requires machines to answer multiple-choice reading comprehension questions about fictional stories, directly tackling the high-level goal of open-domain machine comprehension.Reading comprehension can test advanced abilities such as causal reasoning and understanding the world, yet, by being multiple-choice, still provide a clear…
Citation impact
- FWCI
- 46.95
- Percentile
- 100%
- References
- 25
Authors
3Topics & keywords
- Computer science
- Comprehension
- Artificial intelligence
- Natural language processing
- Reading comprehension
- Construct (python library)
- Domain (mathematical analysis)
- Set (abstract data type)
- Quality Education