Paper: Interactive Feature Space Construction using Semantic Information

ACL ID W09-1110
Title Interactive Feature Space Construction using Semantic Information
Venue International Conference on Computational Natural Language Learning
Session Main Conference
Year 2009

Specifying an appropriate feature space is an important aspect of achieving good perfor- mance when designing systems based upon learned classifiers. Effectively incorporat- ing information regarding semantically related words into the feature space is known to pro- duce robust, accurate classifiers and is one ap- parent motivation for efforts to automatically generate such resources. However, naive in- corporation of this semantic information may result in poor performance due to increased ambiguity. To overcome this limitation, we introduce the interactive feature space con- struction protocol, where the learner identi- fies inadequate regions of the feature space and in coordination with a domain expert adds descriptiveness through existing semantic re- sources. We demonstrate effective...