12 papers
Integrating Multiple Knowledge Sources for Robust Semantic Parsing
Jordi Atserias, Lluis Padro, German Rigau
This work explores a new robust approach for Semantic Parsing of unrestricted texts. Our approach considers Semantic Parsing as a Consistent Labelling Problem (CLP), allowing the i…
A Complete WordNet1.5 to WordNet1.6 Mapping
J. Daudé, L. Padró, G. Rigau
We describe a robust approach for linking already existing lexical/semantic hierarchies. We use a constraint satisfaction algorithm (relaxation labelling) to select --among a set o…
A Comparison between Supervised Learning Algorithms for Word Sense Disambiguation
Gerard Escudero, Lluis Marquez, German Rigau
This paper describes a set of comparative experiments, including cross-corpus evaluation, between five alternative algorithms for supervised Word Sense Disambiguation (WSD), namely…
Mapping WordNets Using Structural Information
J. Daude, L. Padro, G. Rigau
We present a robust approach for linking already existing lexical/semantic hierarchies. We used a constraint satisfaction algorithm (relaxation labeling) to select --among a set of…
Naive Bayes and Exemplar-Based approaches to Word Sense Disambiguation Revisited
Gerard Escudero, Lluis Marquez, German Rigau
This paper describes an experimental comparison between two standard supervised learning methods, namely Naive Bayes and Exemplar-based classification, on the Word Sense Disambigua…
Boosting Applied to Word Sense Disambiguation
Gerard Escudero, Lluis Marquez, German Rigau
In this paper Schapire and Singer's AdaBoost.MH boosting algorithm is applied to the Word Sense Disambiguation (WSD) problem. Initial experiments on a set of 15 selected polysemous…