TY - INPR A1 - Kübler, Sandra A1 - Hinrichs, Erhard A2 - Kaufmann, Morgan T1 - TüSBL : a similarity-based chunk parser for robust syntactic processing N2 - Chunk parsing has focused on the recognition of partial constituent structures 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. The TüSBL parser extends current chunk parsing techniques by a tree-construction component that extends partial chunk parses to complete tree structures including recursive phrase structure as well as function-argument structure. TüSBLs tree construction algorithm relies on techniques from memory-based learning that allow similarity-based classification of a given input structure relative to a pre-stored set of tree instances from a fully annotated treebank. A quantitative evaluation of TüSBL has been conducted using a semi-automatically constructed treebank of German that consists of appr. 67,000 fully annotated sentences. The basic PARSEVAL measures were used although they were developed for parsers that have as their main goal a complete analysis that spans the entire input.This runs counter to the basic philosophy underlying TüSBL, which has as its main goal robustness of partially analyzed structures. KW - Satzanalyse KW - robust parsing KW - chunk parsing KW - similarity-based learning Y1 - 2001 UR - http://publikationen.ub.uni-frankfurt.de/frontdoor/index/index/docId/9871 UR - https://nbn-resolving.org/urn:nbn:de:hebis:30-1110508 UR - http://cl.indiana.edu/~skuebler/papers/hlt01.ps N1 - Erschienen in: Morgan Kaufmann (Hrsg.): Proceedings of the First International Conference on Human Language Technology Research, HLT 2001, San Diego, California, USA, March 18-21, 2001 ER -