One of the challenging tasks in the context of the Semantic Web is to automatically extract instances of binary relations from Web documents – for example all pairs of a person and the corresponding birthdate. In this paper, we present LEILA, a system that can extract instances of arbitrary given binary relations from natural language Web documents – without human interaction. Different from previous approaches, LEILA uses a deep syntactic analysis. This results in consistent improvements over comparable systems (such as e.g. Snowball or TextToOnto)
Thesis (Ph.D.)--University of Washington, 2012The ability to automatically convert natural language ...
<p>We study how to extend a large knowledge base (Freebase) by reading relational information from a...
A relation extraction system recognises pre-defined relation types between two identified entities f...
One of the challenging tasks in the context of the Semantic Web is to automatically extract instance...
One of the challenging tasks in the context of the Semantic Web is to automatically extract instance...
One of the challenging tasks in the context of the Semantic Web is to automatically extract instan...
weikumaOmpii.mpg.de One of the challenging tasks in the con-text of the Semantic Web is to automati-...
Search engines, question answering systems and classification systems alike can greatly profit from ...
abstract 1: The World Wide Web provides a nearly endless source of knowledge, which is mostly given ...
abstract 1: The World Wide Web provides a nearly endless source of knowledge, which is mostly given ...
Search engines, question answering systems and classification systems alike can greatly profit from ...
In this dissertation, we study computational models for classification and application of natural la...
In this dissertation, we study computational models for classification and application of natural la...
Natural language text, from messages on social media to articles in newspapers, constitutes a signif...
We study how to extend a large knowledge base (Freebase) by reading relational information from a la...
Thesis (Ph.D.)--University of Washington, 2012The ability to automatically convert natural language ...
<p>We study how to extend a large knowledge base (Freebase) by reading relational information from a...
A relation extraction system recognises pre-defined relation types between two identified entities f...
One of the challenging tasks in the context of the Semantic Web is to automatically extract instance...
One of the challenging tasks in the context of the Semantic Web is to automatically extract instance...
One of the challenging tasks in the context of the Semantic Web is to automatically extract instan...
weikumaOmpii.mpg.de One of the challenging tasks in the con-text of the Semantic Web is to automati-...
Search engines, question answering systems and classification systems alike can greatly profit from ...
abstract 1: The World Wide Web provides a nearly endless source of knowledge, which is mostly given ...
abstract 1: The World Wide Web provides a nearly endless source of knowledge, which is mostly given ...
Search engines, question answering systems and classification systems alike can greatly profit from ...
In this dissertation, we study computational models for classification and application of natural la...
In this dissertation, we study computational models for classification and application of natural la...
Natural language text, from messages on social media to articles in newspapers, constitutes a signif...
We study how to extend a large knowledge base (Freebase) by reading relational information from a la...
Thesis (Ph.D.)--University of Washington, 2012The ability to automatically convert natural language ...
<p>We study how to extend a large knowledge base (Freebase) by reading relational information from a...
A relation extraction system recognises pre-defined relation types between two identified entities f...