Graphs exceeding the formal complexity of rooted trees are of growing relevance to much NLP research. Although formally well understood in graph theory, there is substantial variation in the types of linguistic graphs, as well as in the interpretation of various structural properties. To provide a common terminology and transparent statistics across different collections of graphs in NLP, we propose to establish a shared community resource with an open-source reference implementation for common statistics
Over the last few years, a number of ar-eas of natural language processing have begun applying graph...
AbstractConceptual graphs are a semantic representation that has a direct mapping to natural languag...
Recently the number of approaches that model and interconnect linguistic data as knowledge graphs ha...
Graphs exceeding the formal complexity of rooted trees are of growing relevance to much NLP research...
Graphs are a powerful representation formalism that can be applied to a variety of aspects related t...
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...
The dataset contains graphs in GML, GraphML, and a simple JSON format. For each of the following la...
Thesis (Ph.D.)--University of Washington, 2012Lexical semantics studies the meaning of words, which ...
Graphs and networks offer a convenient way to study systems around us, including such complex ones a...
This short post is the first of a series on network graphs for corpus linguistics. Because of the CO...
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...
The dataset contains graphs in GML, GraphML, and a simple JSON format. For each of the following la...
Graphs and networks offer a convenient way to study systems around us, including such complex ones a...
Over the last few years, a number of ar-eas of natural language processing have begun applying graph...
AbstractConceptual graphs are a semantic representation that has a direct mapping to natural languag...
Recently the number of approaches that model and interconnect linguistic data as knowledge graphs ha...
Graphs exceeding the formal complexity of rooted trees are of growing relevance to much NLP research...
Graphs are a powerful representation formalism that can be applied to a variety of aspects related t...
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...
The dataset contains graphs in GML, GraphML, and a simple JSON format. For each of the following la...
Thesis (Ph.D.)--University of Washington, 2012Lexical semantics studies the meaning of words, which ...
Graphs and networks offer a convenient way to study systems around us, including such complex ones a...
This short post is the first of a series on network graphs for corpus linguistics. Because of the CO...
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...
The dataset contains graphs in GML, GraphML, and a simple JSON format. For each of the following la...
Graphs and networks offer a convenient way to study systems around us, including such complex ones a...
Over the last few years, a number of ar-eas of natural language processing have begun applying graph...
AbstractConceptual graphs are a semantic representation that has a direct mapping to natural languag...
Recently the number of approaches that model and interconnect linguistic data as knowledge graphs ha...