Name
Abstract | ||
|---|---|---|
We introduce an argument generation system in debating, one that is based on sentence retrieval. Users can specify a motion such as This house should ban gambling, and a stance on whether the system agrees or disagrees with the motion. Then the system outputs three argument paragraphs based on "values" automatically decided by the system. The "value" indicates a topic that is considered as a positive or negative for people or communities, such as health and education. Each paragraph is related to one value and composed of about seven sentences. An evaluation over 50 motions from a popular debate website showed that the generated arguments are understandable in 64 paragraphs out of 150. |
Year | Venue | Field |
|---|---|---|
2015 | PROCEEDINGS OF THE 53RD ANNUAL MEETING OF THE ASSOCIATION FOR COMPUTATIONAL LINGUISTICS AND THE 7TH INTERNATIONAL JOINT CONFERENCE ON NATURAL LANGUAGE PROCESSING (ACL-IJCNLP 2015): SYSTEM DEMONSTRATIONS | End-to-end principle,Computer science,Paragraph,Artificial intelligence,Natural language processing,Linguistics,Sentence |
DocType | Volume | Citations |
Conference | P15-4 | 1 |
PageRank | References | Authors |
0.37 | 5 | 7 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| misa sato | 1 | 8 | 2.25 |
| kohsuke yanai | 2 | 8 | 2.25 |
| Toshinori Miyoshi | 3 | 7 | 4.97 |
| toshihiko yanase | 4 | 47 | 3.40 |
| Makoto Iwayama | 5 | 436 | 87.03 |
| Qinghua Sun | 6 | 1 | 0.37 |
| Yoshiki Niwa | 7 | 3 | 0.74 |