We propose two general and robust methods for enriching resources annotated in the Frame Semantic paradigm with syntactic depen-dency graphs, which can provide useful additional information for applications such as semantic role labeling methods. One method incorporates information of a dependency parser, while the other one assumes the resource to be based on a treebank and uses dependency graphs converted from phrase structure trees. Coverage and accuracy of the methods are evaluated on the English FrameNet and German SALSA corpora. It is shown that large proportions of those resources can be accurately enriched by mapping their annotations onto dependency graphs. Failures to do so are found to be largely due to parser errors and can ther...
We present the Potsdam systems that par-ticipated in the semantic dependency pars-ing shared task of...
Annotated data with role-semantic information are becoming an ever more important resource for many ...
We address the question of which syntactic representation is best suited for FrameNet-based semantic...
When training semantic role labeling systems, the syntax of example sentences is of particular impor...
We propose a quantitative and qualitative analysis of the performances of statistical models for fra...
This paper introduces TakeFive, a new algorithm that performs frame semantic parsing using frame-ori...
This paper introduces TakeFive, a new semantic role labeling method that transforms a text into a fr...
This paper introduces TakeFive, a new algorithm that performs frame semantic parsing using frame-ori...
Semantic dependency parsing is the task of mapping natural language sentences into representations o...
With growing interest in the creation and search of linguistic annotations that form general graphs ...
We describe our contribution to the SemEval task on Frame-Semantic Structure Extraction. Unlike most...
This thesis presents an in-depth contrastive error analysis of a set of semantic dependency parsing ...
<p>A number of semantic annotation efforts have produced a variety of annotated corpora, capturing v...
One of the key concerns in computational semantics is to construct a domain independent semantic rep...
Dependency Grammar has been taken as a formalism for syntactic representation, comparable to close c...
We present the Potsdam systems that par-ticipated in the semantic dependency pars-ing shared task of...
Annotated data with role-semantic information are becoming an ever more important resource for many ...
We address the question of which syntactic representation is best suited for FrameNet-based semantic...
When training semantic role labeling systems, the syntax of example sentences is of particular impor...
We propose a quantitative and qualitative analysis of the performances of statistical models for fra...
This paper introduces TakeFive, a new algorithm that performs frame semantic parsing using frame-ori...
This paper introduces TakeFive, a new semantic role labeling method that transforms a text into a fr...
This paper introduces TakeFive, a new algorithm that performs frame semantic parsing using frame-ori...
Semantic dependency parsing is the task of mapping natural language sentences into representations o...
With growing interest in the creation and search of linguistic annotations that form general graphs ...
We describe our contribution to the SemEval task on Frame-Semantic Structure Extraction. Unlike most...
This thesis presents an in-depth contrastive error analysis of a set of semantic dependency parsing ...
<p>A number of semantic annotation efforts have produced a variety of annotated corpora, capturing v...
One of the key concerns in computational semantics is to construct a domain independent semantic rep...
Dependency Grammar has been taken as a formalism for syntactic representation, comparable to close c...
We present the Potsdam systems that par-ticipated in the semantic dependency pars-ing shared task of...
Annotated data with role-semantic information are becoming an ever more important resource for many ...
We address the question of which syntactic representation is best suited for FrameNet-based semantic...