The acquisition of syntactic knowledge
The acquisition of syntactic knowledge
A corpus-based approach to language learning
A corpus-based approach to language learning
The role of lexicalization and pruning for base noun phrase grammars
AAAI '99/IAAI '99 Proceedings of the sixteenth national conference on Artificial intelligence and the eleventh Innovative applications of artificial intelligence conference innovative applications of artificial intelligence
Inductive Logic Programming for Natural Language Processing
ILP '96 Selected Papers from the 6th International Workshop on Inductive Logic Programming
Building a large annotated corpus of English: the penn treebank
Computational Linguistics - Special issue on using large corpora: II
EACL '99 Proceedings of the ninth conference on European chapter of the Association for Computational Linguistics
A memory-based approach to learning shallow natural language patterns
COLING '98 Proceedings of the 17th international conference on Computational linguistics - Volume 1
Error-driven pruning of Treebank grammars for base noun phrase identification
COLING '98 Proceedings of the 17th international conference on Computational linguistics - Volume 1
Applying system combination to base noun phrase identification
COLING '00 Proceedings of the 18th conference on Computational linguistics - Volume 2
| Hi-index | 0.00 |
This paper presents a learning system for identifying syntactic structures. This system relies on the use of background knowledge and default values in order to build up an initial grammar and the use of theory refinement in order to improve this grammar. This combination provides a good machine learning framework for Natural Language Learning. We illustrate this point with the presentation of ALLiS, a learning system which generates a regular expression grammar of non-recursive phrases from bracketed corpora.