Algorithms on strings, trees, and sequences: computer science and computational biology
Algorithms on strings, trees, and sequences: computer science and computational biology
Data-Oriented Parsing
Building a large annotated corpus of English: the penn treebank
Computational Linguistics - Special issue on using large corpora: II
A stochastic parts program and noun phrase parser for unrestricted text
ANLC '88 Proceedings of the second conference on Applied natural language processing
Tree-gram parsing lexical dependencies and structural relations
ACL '00 Proceedings of the 38th Annual Meeting on Association for Computational Linguistics
Dynamic context generation for natural language understanding: a multifaceted knowledge approach
IEEE Transactions on Systems, Man, and Cybernetics, Part A: Systems and Humans
Extraction of salient textual patterns: synergy between lexical cohesion and contextual coherence
IEEE Transactions on Systems, Man, and Cybernetics, Part A: Systems and Humans
| Hi-index | 0.00 |
This paper presents a novel approach to extracting shallow language patterns from text The approach makes use of an attributed string matching technique which is based on two major but complementary factors: lexical similarities and sentence structures The technique takes full advantage of a huge number of sentence patterns in a Treebank, while preserving robustness, with-out being bogged down into a complete linguistic analysis The ideas described are implemented and an evaluation of 5,000 Chinese sentences is examined in order to justify its statistical significances.