Wikify!: linking documents to encyclopedic knowledge

By Rada Mihalcea, Andras Csomai. International Conference on Information and Knowledge Management, 2007

1,094 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Information Systems

View Paper: https://www.semanticscholar.org/paper/d92f294449191cead729a5bf8a26051a0831ec37

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Citations in the corpus

Joint Learning of the Embedding of Words and Entities for Named Entity Disambiguation (2016, background): “In order to resolve these ambiguous mentions into references to the correct entities, early approaches focused on modeling textual context, such as the similarity between contextual words and encyclopedic descriptions of a candidate entity (Bunescu and Pasca, 2006; Mihalcea and Csomai, 2007).”
Evaluation of named entity coreference (2019, background): “2 Although the task appears similar to Entity Linking (EL) (Mihalcea and Csomai, 2007; Ratinov et al., 2011), it does not involve linking an entity to a knowledge base (KB).”
Integrating Cyc and Wikipedia: Folksonomy meets rigorously defined common-sense (2008, methodology): “We additionally utilize anchor names (i.e. hyperlinked text) in Wikipedia as a source for synonyms (Mihalcea and Csomai, 2007).”
Annotating and searching web tables using entities, types and relationships (2010, background): “Early work [10, 15, 3] disambiguated each potential entity mention independent of others.”
DBpedia spotlight: shedding light on the web of documents (2011, background): “[19] and Witten and Milne (M&W) [20], like us, also used text from Wikipedia in order to learn how to annotate.”
Entity Linking via Joint Encoding of Types, Descriptions, and Context (2017, background): “…Ratinov et al., 2011), hand crafted features based on partial string matches, punctua-tions in entity name (McNamee et al., 2009), etc. Heuristics (Mihalcea and Csomai, 2007) or linear classiﬁers (Bunescu and Pasca, 2006; Cucerzan, 2007; Ratinov et al., 2011; McNamee et al., 2009) are used over…”
Evaluating Entity Linking with Wikipedia (2013, methodology): “Mihalcea and Csomai (2007) later used Wikipedia as a word sense disambiguation data set by attempting to reproduce the links between pages, as link text is often ambiguous.”
Named Entity Disambiguation for Noisy Text (2017, background): “Local vs Global NED Early work on Named Entity Disambiguation, such as Bunescu and Pas¸ca (2006) and Mihalcea and Csomai (2007) focused on local approaches where each mention is disambiguated separately using hand-crafted features.”
Evolution of Semantic Similarity—A Survey (2020, methodology): “• With the advent of Wikipedia, most techniques for semantic similarity exploit the abundant text data freely available to train the models[60].”
An effective, low-cost measure of semantic relatedness obtained from Wikipedia links (2008, background): “…for most applications in the literature, which deal primarily with topics: named entities (Bunescu and Pasca, 2006; Cucerzan, 2007); key phrases (Mihalcea and Csomai, 2007); categories (Gabrilovich and Markovitch, 2006); or entries in existing ontologies (Medelyan and Legg, 2008) and thesauri…”
From TagME to WAT: a new entity annotator (2014, background): “Wikify!”
Learning-based Multi-Sieve Co-reference Resolution with Knowledge (2012, methodology): “We are the ﬁrst to use context-sensitive disambiguation to Wikipedia, which received a lot of attention recently (Bunescu and Pasca, 2006; Cucerzan, 2007; Mihalcea and Csomai, 2007; Milne and Witten, 2008; Ratinov et al., 2011).”
Data ex Machina: Introduction to Big Data (2017, background): ““Is” to “was”: coordination and commemoration in posthumous activity on Wikipedia biographies.”
Text-Enhanced Representation Learning for Knowledge Graph (2016, neutral): “[Mihalcea and Csomai, 2007].”
Fine-Grained Entity Typing for Domain Independent Entity Linking (2019, background): “The internal link information in Wikipedia as supervision has been studied extensively in the field of entity linking and named entity disambiguation in the past decade (Bunescu and Paşca, 2006; Mihalcea and Csomai, 2007; Nothman et al., 2008; McNamee et al., 2009).”
Collective annotation of Wikipedia entities in web text (2009, background): “This is a reality on the opendomain Web, and many systems [13, 3, 15] can back off from annotation (indeed, back off aggressively).”
Neural Cross-Lingual Entity Linking (2017, background): “Previous works in EL (Bunescu and Pasca 2006; Mihalcea and Csomai 2007) involved finding the similarity of the context in the source document and the context of the candidate Wikipedia titles.”