Factored A* Search for Models over Sequences and Trees
Abstract
We investigate the calculation of A* bounds for sequence and tree models which are the explicit intersection of a set of simpler models or can be bounded by such an intersection. We provide a natural viewpoint which unifies various instances of factored A* models for trees and sequences, some previously known and others novel, including multiple sequence alignment, weighted finitestate transducer composition, and lexicalized statistical parsing. The specific case of parsing with a product of syntactic (PCFG) and semantic (lexical dependency) components is then considered in detail. We show that this factorization gives a modular lexicalized parser which is simpler than comparably accurate non-factored models, and which allows efficient exact inference with large treebank grammars.
Cite
Text
Klein and Manning. "Factored A* Search for Models over Sequences and Trees." International Joint Conference on Artificial Intelligence, 2003.Markdown
[Klein and Manning. "Factored A* Search for Models over Sequences and Trees." International Joint Conference on Artificial Intelligence, 2003.](https://mlanthology.org/ijcai/2003/klein2003ijcai-factored/)BibTeX
@inproceedings{klein2003ijcai-factored,
title = {{Factored A* Search for Models over Sequences and Trees}},
author = {Klein, Dan and Manning, Christopher D.},
booktitle = {International Joint Conference on Artificial Intelligence},
year = {2003},
pages = {1246-1251},
url = {https://mlanthology.org/ijcai/2003/klein2003ijcai-factored/}
}