Results 81 to 90 of about 340 (102)
Heuristics- and Statistics-Based Wikification
Lecture Notes in Computer Science, 2012 With the wide usage of Wikipedia in research and applications,disambiguation of concepts and entities to Wikipedia is an essential component in natural language processing. This paper addresses the task of identifying and linking specific words or phrases in a text to their referents described by Wikipedia articles.
Hien T Nguyen, Tru H Cao
exaly +4 more sources
Semantic Document Representation: Do It with Wikification
Lecture Notes in Computer Science, 2012 Wikipedia is a goldmine of information. Each article describes a single concept, and together they constitute a vast investment of manual effort and judgment. Wikification is the process of automatically augmenting a plain-text document with hyperlinks to Wikipedia articles.
Ian H. Witten
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Computational frameworks for semantic analysis and wikification: keynote abstract [PDF]
Proceedings of the AAAI Conference on Artificial Intelligence, 2013 A notable challenge in cross-lingual wikification is the problem of retrieving English Wikipedia title candidates given a non-English mention, a step that requires translating names written in a foreign language into English. Creating training data for name translation requires significant amount of human efforts.
Dan Roth
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Generation of Hypertext for Web-Based Learning Based on Wikification [PDF]
Communications in Computer and Information Science, 2011 Contextual disambiguation and grounding of concepts and entities in natural language are essential to progress in many natural language understanding tasks and fundamental to many applications. Wikification aims at automatically identifying concept mentions in text and linking them to referents in a knowledge base (KB) (e.g., Wikipedia).
Andrew Kwok-Fai Lui
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Embedded Topic Models Enhanced by Wikification [PDF]
Proceedings of the First Workshop on Advancing Natural Language Processing for WikipediaTopic modeling analyzes a collection of documents to learn meaningful patterns of words. However, previous topic models consider only the spelling of words and do not take into consideration the homography of words.
Takashi Shibuya, T. Utsuro
semanticscholar +6 more sources
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Graph Representation Learning in Document Wikification
Lecture Notes in Computer Science, 2021Wikification (entity annotation) is a challenging task in Natural Language Processing (NLP). It is a method to automatically enrich a text with links to Wikipedia as a knowledge base. Wikification starts from detecting ambiguous mentions in the document, and later tries to disambiguate those mentions.
Mozhgan Saeidi
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Exploring graph topology via matrix factorization to improve wikification [PDF]
ACM Symposium on Applied Computing, 2015 Challenges faced by authors and reviewers of encyclopedic content include the identification of which candidate concepts in one article should be linked to other articles, since concepts should be selected if they are able to provide a deeper ...
R. Ferreira +2 more
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Review on Wikification methods
AI Communications, 2019The paper reviews methods on automatic annotation of texts with Wikipedia entries. The process, called Wikification aims at building references between concepts identified in the text and Wikipedia articles.
J. Szymański, Maciej Naruszewicz
semanticscholar +3 more sources
The wikification of GIS and its consequences: Or Angelina Jolie’s new tattoo and the future of GIS
Computers, Environment and Urban Systems, 2008Daniel Sui
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DMOZ 2006 Dataset and its Wikification
, 2019 This dataset was retrieved with a crawler in 2006 from the Open Directory Project (ODP) (http://dmoz.org, https://en.wikipedia.org/wiki/DMOZ), which closed in 2017 and was reborn as Curlie (https://curlie.org/).
Carlos Martin Lorenzetti +2 more
semanticscholar +2 more sources