Name
Abstract | ||
|---|---|---|
In this paper, we report results on answering questions for the reading comprehension task, using a machine learning approach. We evaluated our approach on the Remedia data set, a common data set used in several recent papers on the reading comprehension task. Our learning approach achieves accuracy competitive to previous approaches that rely on hand-crafted, deterministic rules and algorithms. To the best of our knowledge, this is the first work that reports that the use of a machine learning approach achieves competitive results on answering questions for reading comprehension tests. |
Year | DOI | Venue |
|---|---|---|
2000 | 10.3115/1117794.1117810 | EMNLP |
Keywords | Field | DocType |
comprehension test,remedia data,recent paper,competitive result,deterministic rule,reading comprehension task,common data,previous approach,machine learning | Computer science,Reading comprehension,Natural language processing,Artificial intelligence,Machine learning | Conference |
Volume | Citations | PageRank |
W00-13 | 20 | 2.98 |
References | Authors | |
9 | 3 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Hwee Tou Ng | 1 | 4092 | 300.40 |
| Leong Hwee Teo | 2 | 20 | 2.98 |
| Jennifer Lai Pheng Kwan | 3 | 20 | 2.98 |