Paper: From Chunks To Function-Argument Structure: A Similarity-Based Approach

ACL ID P01-1045
Title From Chunks To Function-Argument Structure: A Similarity-Based Approach
Venue Annual Meeting of the Association of Computational Linguistics
Session Main Conference
Year 2001
Authors

Chunk parsing has focused on the recognition of partial constituent struc- tures at the level of individual chunks. Little attention has been paid to the question of how such partial analyses can be combined into larger structures for complete utterances. Such larger structures are not only desirable for a deeper syntactic analysis. They also constitute a necessary prerequisite for assigning function-argument structure. The present paper offers a similarity- based algorithm for assigning func- tional labels such as subject, object, head, complement, etc. to complete syntactic structures on the basis of pre- chunked input. The evaluation of the algorithm has concentrated on measuring the quality of functional labels. It was performed on a German and an English treebank using two different a...