The Entity Linking (EL) track at NIST TAC-KBP2014 aims to extract named entity mentions from a source collection of textual documents, and link them to an existing Knowledge Base (KB). An EL system is also required to cluster mentions for those NIL entities that don't have corresponding K
This paper describes the CMCRC systems entered in the TAC 2010 entity linking challenge. The best pe...
Recent research on entity linking (EL) has in-troduced a plethora of promising techniques, ranging f...
Named entity linking is the task of identifying mentions of named things in text, such as “Barack Ob...
This paper describes the DAI approach to the TAC-KBP 2011 Entity Linking Task, which this year intro...
To advance information extraction and question answering technologies toward a more realistic path, ...
Entity Linking (EL) systems have achieved impressive results on standard benchmarks, mainly thanks t...
International audienceCollective entity linking is a core natural language processing task, which co...
This paper describes the system proposed by Sabanci University Natural Language Processing Group in ...
Knowledge Base Population (KBP) track En-glish Entity Linking task. Based on structured and unstruct...
AbstractNamed Entity Linking (nel) grounds entity mentions to their corresponding node in a Knowledg...
Our team from the JHU HLTCOE partici-pated in the Entity Linking and Cold Start Knowledge Base tasks...
Text analytics systems often rely heavily on detecting and linking entity mentions in documents to k...
Recently, Entity Linking and Retrieval turned out to be one of the most interesting tasks in Informa...
Named Entity Linking (nel) grounds entity mentions to their corresponding node in a Knowledge Base (...
This paper describes our approach to the 2012 Text Analysis Conference (TAC) Knowledge Base Populati...
This paper describes the CMCRC systems entered in the TAC 2010 entity linking challenge. The best pe...
Recent research on entity linking (EL) has in-troduced a plethora of promising techniques, ranging f...
Named entity linking is the task of identifying mentions of named things in text, such as “Barack Ob...
This paper describes the DAI approach to the TAC-KBP 2011 Entity Linking Task, which this year intro...
To advance information extraction and question answering technologies toward a more realistic path, ...
Entity Linking (EL) systems have achieved impressive results on standard benchmarks, mainly thanks t...
International audienceCollective entity linking is a core natural language processing task, which co...
This paper describes the system proposed by Sabanci University Natural Language Processing Group in ...
Knowledge Base Population (KBP) track En-glish Entity Linking task. Based on structured and unstruct...
AbstractNamed Entity Linking (nel) grounds entity mentions to their corresponding node in a Knowledg...
Our team from the JHU HLTCOE partici-pated in the Entity Linking and Cold Start Knowledge Base tasks...
Text analytics systems often rely heavily on detecting and linking entity mentions in documents to k...
Recently, Entity Linking and Retrieval turned out to be one of the most interesting tasks in Informa...
Named Entity Linking (nel) grounds entity mentions to their corresponding node in a Knowledge Base (...
This paper describes our approach to the 2012 Text Analysis Conference (TAC) Knowledge Base Populati...
This paper describes the CMCRC systems entered in the TAC 2010 entity linking challenge. The best pe...
Recent research on entity linking (EL) has in-troduced a plethora of promising techniques, ranging f...
Named entity linking is the task of identifying mentions of named things in text, such as “Barack Ob...