Entity-Linking via Graph-Distance Minimization
نویسندگان
چکیده
منابع مشابه
Entity-Linking via Graph-Distance Minimization
Entity-linking is a natural-language–processing task that consists in identifying the entities mentioned in a piece of text, linking each to an appropriate item in some knowledge base; when the knowledge base is Wikipedia, the problem comes to be known as wikification (in this case, items are wikipedia articles). One instance of entity-linking can be formalized as an optimization problem on the...
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In this paper, we formalize the task of finding a knowledge base entry that a given named entity mention refers to, namely entity linking, by identifying the most “important” node among the graph nodes representing the candidate entries. With the aim of ranking these entities by their “importance”, we introduce three degree-based measures of graph connectivity. Experimental results on the TACKB...
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Entity Linking (EL) is a technique to link named entities in a given context to relevant entities in a given knowledge base. Generally, EL consists of two important task. But, there are limitations of these tasks. To overcome these limitations, we tried to solve the problem of EL through the interdependencies between not only named entities but also common nouns and verbs appearing in the conte...
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Named entity linking (NEL) grounds entity mentions to their corresponding Wikipedia article. State-of-the-art supervised NEL systems use features over the rich Wikipedia document and link-graph structure. Graph-based measures have been effective over WordNet for word sense disambiguation (WSD). We draw parallels between NEL and WSD, motivating our unsupervised NEL approach that exploits the Wik...
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Entity-linking is a natural-language–processing task that consists in identifying strings of text that refer to a particular item in some reference knowledge base. When the knowledge base is Wikipedia, the problem is also referred to as wikification (in this case, items are Wikipedia articles). Entity-linking consists conceptually of many different phases: identifying the portions of text that ...
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ژورنال
عنوان ژورنال: Electronic Proceedings in Theoretical Computer Science
سال: 2014
ISSN: 2075-2180
DOI: 10.4204/eptcs.159.4