Name
Title | ||
|---|---|---|
MCScript: A Novel Dataset for Assessing Machine Comprehension Using Script Knowledge. |
Abstract | ||
|---|---|---|
We introduce a large dataset of narrative texts and questions about these texts, intended to be used in a machine comprehension task that requires reasoning using commonsense knowledge. Our dataset complements similar datasets in that we focus on stories about everyday activities, such as going to the movies or working in the garden, and that the questions require commonsense knowledge, or more specifically, script knowledge, to be answered. We show that our mode of data collection via crowdsourcing results in a substantial amount of such inference questions. The dataset forms the basis of a shared task on commonsense and script knowledge organized at SemEval 2018 and provides challenging test cases for the broader natural language understanding community. |
Year | Venue | DocType |
|---|---|---|
2018 | LREC | Conference |
Volume | Citations | PageRank |
abs/1803.05223 | 4 | 0.40 |
References | Authors | |
15 | 5 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| simon ostermann | 1 | 17 | 2.81 |
| Ashutosh Modi | 2 | 52 | 6.16 |
| Michael Roth | 3 | 67 | 6.43 |
| Stefan Thater | 4 | 756 | 38.54 |
| Manfred Pinkal | 5 | 1116 | 69.77 |