Paper: A Methodology for Automatic Identification of Nocuous Ambiguity

ACL ID C10-1137
Title A Methodology for Automatic Identification of Nocuous Ambiguity
Venue International Conference on Computational Linguistics
Session Main Conference
Year 2010
Authors

Nocuous ambiguity occurs when a lin- guistic expression is interpreted differ- ently by different readers in a given con- text. We present an approach to auto- matically identify nocuous ambiguity that is likely to lead to misunderstand- ings among readers. Our model is built on a machine learning architecture. It learns from a set of heuristics each of which predicts a factor that may lead a reader to favor a particular interpretation. An ambiguity threshold indicates the ex- tent to which ambiguity can be tolerated in the application domain. Collections of human judgments are used to train heu- ristics and set ambiguity thresholds, and for evaluation. We report results from applying the methodology to coordina- tion and anaphora ambiguity. Results show that the method can ide...