Publication | Closed Access
AIDA-Social
12
Citations
14
References
2014
Year
Unknown Venue
Natural Language ProcessingEngineeringInformation RetrievalData ScienceEntity DisambiguationComputational LinguisticsMention NormalizationNlp TaskEntity SummarizationCryptic AbbreviationsSemantic WebNamed-entity RecognitionInformation ExtractionCorpus LinguisticsEntity LinkingText MiningMachine Translation
Named Entity Linking (NEL) in microblogs is a challenging task due to the use of cryptic abbreviations, insufficient contextual information, and the time-varying importance of entities. We propose three techniques to target these challenges: Mention Normalization, Contextual Enrichment, and Temporal Entity Importance. By combining these novel techniques, we achieve 13% improvement in precision over a state-of-the-art NEL tool.
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