2011
DOI: 10.14778/3402755.3402793
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Aida

Abstract: We present AIDA, a framework and online tool for entity detection and disambiguation. Given a natural-language text or a Web table, we map mentions of ambiguous names onto canonical entities like people or places, registered in a knowledge base like DBpedia, Freebase, or YAGO. AIDA is a robust framework centred around collective disambiguation exploiting the prominence of entities, similarity between the context of the mention and its candidates, and the coherence among candidate entities for all mentions. We … Show more

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Cited by 112 publications
(2 citation statements)
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“…Entity Extraction and Linking (EEL) if followed by extraction (Martinez‐Rodriguez et al, 2020) and various state‐of‐the‐art techniques for performing EEL, including Semantic Tagger (Dill et al, 2003), which applies the TF‐IDF approach for information retrieval and use it as a base method for other classification tasks. AIDA (Yosef et al, 2011) and KORE (Hoffart et al, 2012) are NER platforms that extract and map known entities to existing KGs, while DBpedia Spotlight (Mendes et al, 2011) is a free web service and application that provides annotation and mapping of text with DBpedia URIs. Named Entity Recognition and Entity Linking (NEREL) is a joint model for NER and EL that claims a 60% and 68% error reduction in NER and EL, respectively, on a benchmark MSNBC dataset (Sil & Yates, 2013).…”
Section: Literature Reviewmentioning
confidence: 99%
“…Entity Extraction and Linking (EEL) if followed by extraction (Martinez‐Rodriguez et al, 2020) and various state‐of‐the‐art techniques for performing EEL, including Semantic Tagger (Dill et al, 2003), which applies the TF‐IDF approach for information retrieval and use it as a base method for other classification tasks. AIDA (Yosef et al, 2011) and KORE (Hoffart et al, 2012) are NER platforms that extract and map known entities to existing KGs, while DBpedia Spotlight (Mendes et al, 2011) is a free web service and application that provides annotation and mapping of text with DBpedia URIs. Named Entity Recognition and Entity Linking (NEREL) is a joint model for NER and EL that claims a 60% and 68% error reduction in NER and EL, respectively, on a benchmark MSNBC dataset (Sil & Yates, 2013).…”
Section: Literature Reviewmentioning
confidence: 99%
“…State-of-the-art techniques are implemented in tools such as AIDA [21]. The online service available at [22] leverages existing knowledge bases such as YAGO [23] to identify entities. On the other hand, a fact explores a particular situation under discussion.…”
Section: Entities and Facts Discoverymentioning
confidence: 99%