Title
Interactive Predictive Parsing Framework For The Spanish Language
Abstract
The Interactive Predictive Parsing (IPP) framework allows us the construction of interactive tree annotation systems. These can help human annotators in creating error-free parse trees with little effort (compared to manually post-editing the trees obtained from a completely automatic parser). In this paper we adapt the IPP framework and the IPP-Ann annotation tool for parse of the Spanish language, by using models obtained from the UAM Spanish Treebank. We performed user simulation experimentation and obtained objective evaluation metrics. The results establish that the IPP framework over the UAM Treebank shows important amounts of user effort reduction, comparable to the gains obtained when applying IPP to the English language on the Penn Treebank.
Year
Venue
Keywords
2010
PROCESAMIENTO DEL LENGUAJE NATURAL
Parsing, Interactive Predictive Parsing, Spanish language
DocType
Volume
Issue
Journal
45
45
ISSN
Citations 
PageRank 
1135-5948
0
0.34
References 
Authors
0
4
Name
Order
Citations
PageRank
Ricardo Sánchez-Sáez1132.36
Luis A. Leiva220527.62
Joan-Andreu Sánchez319829.00
José-Miguel Benedí431829.43