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Entity Linking

by Andrea Moro, Roberto Navigli
"... In this paper we present the Multilingual All-Words Sense Disambiguation and Entity Link-ing task. Word Sense Disambiguation (WSD) and Entity Linking (EL) are well-known prob-lems in the Natural Language Processing field and both address the lexical ambiguity of lan-guage. Their main difference lies ..."
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In this paper we present the Multilingual All-Words Sense Disambiguation and Entity Link-ing task. Word Sense Disambiguation (WSD) and Entity Linking (EL) are well-known prob-lems in the Natural Language Processing field and both address the lexical ambiguity of lan-guage. Their main difference

Entity linking at web scale

by Thomas Lin, Oren Etzioni - In Knowledge Extraction Workshop (AKBC-WEKEX , 2012
"... This paper investigates entity linking over millions of high-precision extractions from a corpus of 500 million Web documents, toward the goal of creating a useful knowledge base of general facts. This paper is the first to report on entity linking over this many extractions, and describes new oppor ..."
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This paper investigates entity linking over millions of high-precision extractions from a corpus of 500 million Web documents, toward the goal of creating a useful knowledge base of general facts. This paper is the first to report on entity linking over this many extractions, and describes new

Cross-Language Entity Linking

by Paul Mcnamee, James Mayfield, Dawn Lawrie, Douglas W. Oard
"... There has been substantial recent interest in aligning mentions of named entities in unstructured texts to knowledge base descriptors, a task commonly called entity linking. This technology is crucial for applications in knowledge discovery and text data mining. This paper presents experiments in th ..."
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There has been substantial recent interest in aligning mentions of named entities in unstructured texts to knowledge base descriptors, a task commonly called entity linking. This technology is crucial for applications in knowledge discovery and text data mining. This paper presents experiments

Entity Linking for Tweets

by Xiaohua Liu, Yitong Li, Haocheng Wu, Ming Zhou, Furu Wei, Yi Lu
"... We study the task of entity linking for tweets, which tries to associate each mention in a tweet with a knowledge base entry. Two main challenges of this task are the dearth of information in a single tweet and the rich entity mention variations. To address these challenges, we propose a collective ..."
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We study the task of entity linking for tweets, which tries to associate each mention in a tweet with a knowledge base entry. Two main challenges of this task are the dearth of information in a single tweet and the rich entity mention variations. To address these challenges, we propose a collective

Entity Linking on Philosophical Documents

by Diego Ceccarelli , Alberto De Francesco , Raffaele Perego , Marco Segala , Nicola Tonellotto , Salvatore Trani
"... Abstract. Entity Linking consists in automatically enriching a document by detecting the text fragments mentioning a given entity in an external knowledge base, e.g., Wikipedia. This problem is a hot research topic due to its impact in several text-understanding related tasks. However, its applicat ..."
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Abstract. Entity Linking consists in automatically enriching a document by detecting the text fragments mentioning a given entity in an external knowledge base, e.g., Wikipedia. This problem is a hot research topic due to its impact in several text-understanding related tasks. However, its

Design challenges for entity linking

by Xiao Ling, Sameer Singh, Daniel S. Weld - TACL , 2015
"... Recent research on entity linking (EL) has in-troduced a plethora of promising techniques, ranging from deep neural networks to joint in-ference. But despite numerous papers there is surprisingly little understanding of the state of the art in EL. We attack this confusion by analyzing differences be ..."
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Recent research on entity linking (EL) has in-troduced a plethora of promising techniques, ranging from deep neural networks to joint in-ference. But despite numerous papers there is surprisingly little understanding of the state of the art in EL. We attack this confusion by analyzing differences

Distant Supervision for Entity Linking

by Miao Fan, Qiang Zhou, Thomas Fang Zheng
"... Entity linking is an indispensable oper-ation of populating knowledge reposito-ries for information extraction. It stud-ies on aligning a textual entity mention to its corresponding disambiguated entry in a knowledge repository. In this paper, we propose a new paradigm named dis-tantly supervised en ..."
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Entity linking is an indispensable oper-ation of populating knowledge reposito-ries for information extraction. It stud-ies on aligning a textual entity mention to its corresponding disambiguated entry in a knowledge repository. In this paper, we propose a new paradigm named dis-tantly supervised

BEL: Bagging for Entity Linking

by Zhe Zuo, Gjergji Kasneci, Toni Gruetze, Felix Naumann
"... With recent advances in the areas of knowledge engineering and information extraction, the task of linking textual mentions of named entities to corresponding ones in a knowledge base has received much attention. The rich, structured information in state-of-the-art knowledge bases can be leveraged t ..."
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With recent advances in the areas of knowledge engineering and information extraction, the task of linking textual mentions of named entities to corresponding ones in a knowledge base has received much attention. The rich, structured information in state-of-the-art knowledge bases can be leveraged

Context Representation for Named Entity Linking

by Xiao Ling, Sameer Singh, Daniel S. Weld
"... Named Entity Linking (NEL) is an Information Extraction task of linking a textual span (or an en-tity mention) to its corresponding entry in a given ..."
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Named Entity Linking (NEL) is an Information Extraction task of linking a textual span (or an en-tity mention) to its corresponding entry in a given

EXPLOITING WIKIPEDIA FOR NAMED ENTITY LINKING

by Will Radford, Supervisors James Curran, Ben Hachey
"... Named Entity Recognition (NER) is the problem of identifying names of people, places, organisations – “entities ” – in text. Named Entity Linking (NEL) addresses practical issues ..."
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Named Entity Recognition (NER) is the problem of identifying names of people, places, organisations – “entities ” – in text. Named Entity Linking (NEL) addresses practical issues
Results 1 - 10 of 3,023