Extending a machine learning based coreference resolution system with a feature capturing automatically generated information about semantic roles improves its performance.
This paper describes a method of accurately projecting Propbank roles onto constituents in the CCGbank with near perfect accuracy and automatically annotating verbal categories wi...
This work presents a method of linking verbs and their valency frames in VerbaLex database developed at the Centre for NLP at the Faculty of Informatics Masaryk University to the ...
This paper presents the work that has been carried out to annotate semantic roles in the Basque Dependency Treebank (BDT) (Aldezabal et al., 2009). In this paper we will present t...
This paper describes a new language resource of events and semantic roles that characterize real-world situations. Narrative schemas contain sets of related events (edit and publi...
We propose a new, simple model for the automatic induction of selectional preferences, using corpus-based semantic similarity metrics. Focusing on the task of semantic role labeli...
This paper shows that semantic role labeling is a consequence of accurate verbal predicate labeling. In doing so, the paper presents a novel type of semantic feature for verbal pr...
Hansen A. Schwartz, Fernando Gomez, Christopher Mi...
In this paper, the semantic relationships between a predicate and its arguments in terms of semantic roles are employed to improve lexical-based named entity recognition (NER) in t...
This paper deals with theoretical problems found in the work that is being carried out for annotating semantic roles in the Basque Dependency Treebank (BDT). We will present the re...