Add to ORKGAbstract. This paper proposes an Entity Linking system that applies a topic modeling ranking. We apply a novel approach in order to provide new relevant elements to the model. These elements are keyphrases related to the queries and gathered from a huge Wikipedia-based knowledge resource.
International audienceIn order to create a corpus exploration method providing topics that are easie...
International audienceCollective entity linking is a core natural language processing task, which co...
In order to create a corpus exploration method providing topics that are easier to interpret than st...
This paper proposes an Entity Linking system that applies a topic modeling ranking. We apply a novel...
Human Language Technologies: The 2010 Annual Conference of the North American Chapter of the ACLThis...
Conference paperThe recognition of entities in text is the basis for a series of applications. Synon...
International audienceThe extraction and the disambiguation of knowledge guided by textual resources...
Knowledge Base Population (KBP) track En-glish Entity Linking task. Based on structured and unstruct...
Representing information is a key challenge for all applications that process and organize documents...
This paper address the problem of entity link-ing. Specifically, given an entity mentioned in unstru...
This paper describes our approach to the 2012 Text Analysis Conference (TAC) Knowledge Base Populati...
Introduction: Linking Entities (LE) is an important research topic that has recently attracted great...
Digital humanities scholars strongly need a corpus exploration method that provides topics easier t...
Linking entities with knowledge base (entity linking) is a key issue in bridging the textual data wi...
International audienceEntity linking is a core task in textual document processing, which consists i...
International audienceIn order to create a corpus exploration method providing topics that are easie...
International audienceCollective entity linking is a core natural language processing task, which co...
In order to create a corpus exploration method providing topics that are easier to interpret than st...
This paper proposes an Entity Linking system that applies a topic modeling ranking. We apply a novel...
Human Language Technologies: The 2010 Annual Conference of the North American Chapter of the ACLThis...
Conference paperThe recognition of entities in text is the basis for a series of applications. Synon...
International audienceThe extraction and the disambiguation of knowledge guided by textual resources...
Knowledge Base Population (KBP) track En-glish Entity Linking task. Based on structured and unstruct...
Representing information is a key challenge for all applications that process and organize documents...
This paper address the problem of entity link-ing. Specifically, given an entity mentioned in unstru...
This paper describes our approach to the 2012 Text Analysis Conference (TAC) Knowledge Base Populati...
Introduction: Linking Entities (LE) is an important research topic that has recently attracted great...
Digital humanities scholars strongly need a corpus exploration method that provides topics easier t...
Linking entities with knowledge base (entity linking) is a key issue in bridging the textual data wi...
International audienceEntity linking is a core task in textual document processing, which consists i...
International audienceIn order to create a corpus exploration method providing topics that are easie...
International audienceCollective entity linking is a core natural language processing task, which co...
In order to create a corpus exploration method providing topics that are easier to interpret than st...