A processing model for the analysis of one-way arguments in discourse |
| |
Authors: | Robin Cohen |
| |
Affiliation: | (1) Department of Computer Science, University of Waterloo, N2L 3G1 Waterloo, Ontario, Canada |
| |
Abstract: | This paper describes a computational model for analyzing arguments in discourse. In particular, the model describes processes necessary for interpreting one uninterrupted argument from a speaker. The resulting output is a representation for the underlying claim and evidence relations between propositions of the argument. For our processing model we present: (i) a characterization of coherent orderings of propositions, used to limit search for interpretation of each new proposition (ii) a working definition of the evidence relation, used to recognize connections between propositions (iii) a theory of the function and use of clue words — special words and phrases indicating the structure of the argument — then used in the analysis to control search for interpretation and verification of evidence relations. |
| |
Keywords: | Computational model discourse uninterrupted argument evidence relations underlying claim coherence |
本文献已被 SpringerLink 等数据库收录! |
|