Graphs are a powerful representation formalism that can be applied to a variety of aspects related to language processing. We provide an overview of how Natural Language Processing problems have been projected into the graph framework, focusing in particular on graph construction – a crucial step in modeling the data to emphasize the phenomena targeted
Employing the properties of linguistic networks allows discovering structure and making predictions....
Includes bibliographical references (pages 179-190) and index.Book fair 2013.viii, 192 pages :"This ...
AbstractConceptual graphs are a semantic representation that has a direct mapping to natural languag...
In natural language processing (NLP) there is an increasing interest in formal models for processing...
In natural language processing (NLP) there is an increasing interest in formal models for processing...
In natural language processing (NLP) there is an increasing interest in formal models for processing...
In natural language processing (NLP) there is an increasing interest in formal models for pro-cessin...
Over the last few years, a number of ar-eas of natural language processing have begun applying graph...
Article discussing networks and natural language processing. The authors present some of the most su...
Graphs and networks offer a convenient way to study systems around us, including such complex ones a...
Graph-based representations are proven to be an effective approach for a variety of Natural Language...
Graph-based representations are proven to be an effective approach for a variety of Natural Language...
Graphs exceeding the formal complexity of rooted trees are of growing relevance to much NLP research...
Graphs exceeding the formal complexity of rooted trees are of growing relevance to much NLP research...
International audienceThe paradigm of Graph Rewriting is used very little in the field of Natural La...
Employing the properties of linguistic networks allows discovering structure and making predictions....
Includes bibliographical references (pages 179-190) and index.Book fair 2013.viii, 192 pages :"This ...
AbstractConceptual graphs are a semantic representation that has a direct mapping to natural languag...
In natural language processing (NLP) there is an increasing interest in formal models for processing...
In natural language processing (NLP) there is an increasing interest in formal models for processing...
In natural language processing (NLP) there is an increasing interest in formal models for processing...
In natural language processing (NLP) there is an increasing interest in formal models for pro-cessin...
Over the last few years, a number of ar-eas of natural language processing have begun applying graph...
Article discussing networks and natural language processing. The authors present some of the most su...
Graphs and networks offer a convenient way to study systems around us, including such complex ones a...
Graph-based representations are proven to be an effective approach for a variety of Natural Language...
Graph-based representations are proven to be an effective approach for a variety of Natural Language...
Graphs exceeding the formal complexity of rooted trees are of growing relevance to much NLP research...
Graphs exceeding the formal complexity of rooted trees are of growing relevance to much NLP research...
International audienceThe paradigm of Graph Rewriting is used very little in the field of Natural La...
Employing the properties of linguistic networks allows discovering structure and making predictions....
Includes bibliographical references (pages 179-190) and index.Book fair 2013.viii, 192 pages :"This ...
AbstractConceptual graphs are a semantic representation that has a direct mapping to natural languag...