Loading...
Loading...

Go to the content (press return)

Towards learning a constraint grammar from annotated corpora using decision trees

Author
Marquez, L.; Rodriguez, H.
Type of activity
Report
Date
1996-02
Code
ACQUILEX II Working Paper
Repository
http://hdl.handle.net/2117/82609 Open in new window
Abstract
Inside the framework of robust parsers for the syntactic analysis of unrestricted text, the aim of this work is the construction of a system capable of automatically learning Constraint Grammar rules from a POS annotated Corpus. The system presented is able by now to acquire constraint rules for POS tagging and we plan to extend it to cover syntactic rules. The learning process uses a supervised learning algorithm based on building a discrimination forest, with a decision tree attached to ...
Citation
Marquez, L., Rodriguez, H. "Towards learning a constraint grammar from annotated corpora using decision trees". 1996.
Group of research
GPLN - Natural Language Processing Group
IDEAI-UPC - Intelligent Data Science and Artificial Intelligence Research Center
TALP - Centre for Language and Speech Technologies and Applications

Participants

Attachments