Paper: Towards A Noise-Tolerant Representation-Independent Mechanism For Argument Interpretation

ACL ID C02-1047
Title Towards A Noise-Tolerant Representation-Independent Mechanism For Argument Interpretation
Venue International Conference on Computational Linguistics
Session Main Conference
Year 2002
Authors

We describe a mechanism for the interpretation of arguments, which can cope with noisy conditions in terms of wording, beliefs and argument struc- ture. This is achieved through the application of the Minimum Message Length Principle to evalu- ate candidate interpretations. Our system receives as input a quasi-Natural Language argument, where propositions are presented in English, and gener- ates an interpretation of the argument in the form of a Bayesian network (BN). Performance was eval- uated by distorting the system’s arguments (gener- ated from a BN) and feeding them to the system for interpretation. In 75% of the cases, the interpreta- tions produced by the system matched precisely or almost-precisely the representation of the original arguments.