Abstract
We describe an argument interpretation mechanism which receives as input a segmented argument composed of Natural Language sentences, and employs the Minimum Message Length Principle to select an interpretation among candidate options. This principle enables our mechanism to cope with noisy input in terms ofwording, beliefs and argument structure.The performance of our system was evaluated by distorting automatically generated arguments, and passing them to the system for interpretation. Our evaluation showed that in most cases, the interpretations produced by the system matched precisely or almost-precisely the representation of the original arguments.
| Original language | English |
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| Title of host publication | AI 2002: Advances in Artificial Intelligence |
| Subtitle of host publication | 15th Australian Joint Conference on Artificial Intelligence Canberra, Australia, December 2-6, 2002 Proceedings |
| Editors | Bob McKay, John Slaney |
| Place of Publication | Berlin Germany |
| Publisher | Springer |
| Pages | 297-308 |
| Number of pages | 12 |
| ISBN (Print) | 3540001972 |
| DOIs | |
| Publication status | Published - 2002 |
| Event | Australasian Joint Conference on Artificial Intelligence 2002 - Canberra, Australia Duration: 2 Dec 2002 → 6 Dec 2002 Conference number: 15th https://link.springer.com/book/10.1007/3-540-36187-1 (Proceedings) |
Publication series
| Name | Lecture Notes in Computer Science |
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| Publisher | Springer |
| Volume | 2557 |
| ISSN (Print) | 0302-9743 |
Conference
| Conference | Australasian Joint Conference on Artificial Intelligence 2002 |
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| Abbreviated title | AI 2002 |
| Country/Territory | Australia |
| City | Canberra |
| Period | 2/12/02 → 6/12/02 |
| Internet address |
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