Name
Title | ||
|---|---|---|
First Steps Towards the Automatic Construction of Argument-Diagrams from Real Discussions |
Abstract | ||
|---|---|---|
This paper presents our efforts to create argument structures from meeting transcripts automatically. We show that unit labels of argument diagrams can be learnt and predicted by a computer with an accuracy of 78,52% and 51,43% on an unbalanced and balanced set respectively. We used a corpus of over 250 argument diagrams that was manually created by applying the Twente Argument Schema. In this paper we also elaborate on this schema and we discuss applications and the role we foresee the diagrams to play. |
Year | Venue | Keywords |
|---|---|---|
2006 | COMMA | real discussions,automatic construction,argument diagram,unit label,meeting transcript,argument structure,twente argument schema |
Field | DocType | Volume |
Computer science,Balanced set,Natural language processing,Artificial intelligence,Schema (psychology) | Conference | 144 |
ISSN | ISBN | Citations |
0922-6389 | 1-58603-652-1 | 7 |
PageRank | References | Authors |
0.62 | 9 | 3 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Daan Verbree | 1 | 7 | 0.62 |
| Rutger Rienks | 2 | 168 | 13.14 |
| Dirk Heylen | 3 | 867 | 89.11 |