Computer Science – Computation and Language
Scientific paper
1996-06-04
Proceedings of KONVENS-94
Computer Science
Computation and Language
Scientific paper
Increasingly, inheritance hierarchies are being used to reduce redundancy in natural language processing lexicons. Systems that utilize inheritance hierarchies need to be able to insert words under the optimal set of classes in these hierarchies. In this paper, we formalize this problem for feature-based default inheritance hierarchies. Since the problem turns out to be NP-complete, we present an approximation algorithm for it. We show that this algorithm is efficient and that it performs well with respect to a number of standard problems for default inheritance. A prototype implementation has been tested on lexical hierarchies and it has produced encouraging results. The work presented here is also relevant to other types of default hierarchies.
No associations
LandOfFree
Classification in Feature-based Default Inheritance Hierarchies does not yet have a rating. At this time, there are no reviews or comments for this scientific paper.
If you have personal experience with Classification in Feature-based Default Inheritance Hierarchies, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Classification in Feature-based Default Inheritance Hierarchies will most certainly appreciate the feedback.
Profile ID: LFWR-SCP-O-409177