Abstract:
The large number of potential applications from bridging web data with knowledge bases have led to an increase in the entity linking research. Entity linking is the task ...Show MoreMetadata
Abstract:
The large number of potential applications from bridging web data with knowledge bases have led to an increase in the entity linking research. Entity linking is the task to link entity mentions in text with their corresponding entities in a knowledge base. Potential applications include information extraction, information retrieval, and knowledge base population. However, this task is challenging due to name variations and entity ambiguity. In this survey, we present a thorough overview and analysis of the main approaches to entity linking, and discuss various applications, the evaluation of entity linking systems, and future directions.
Published in: IEEE Transactions on Knowledge and Data Engineering ( Volume: 27, Issue: 2, 01 February 2015)
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- IEEE Keywords
- Index Terms
- Knowledge Base ,
- Entity Linking ,
- Information Extraction ,
- Information Retrieval ,
- Named Entity Recognition ,
- Web Data ,
- Text Mentions ,
- Training Data ,
- Support Vector Machine ,
- Probabilistic Model ,
- Binary Classification ,
- Acronym ,
- Annotation Data ,
- Semantic Similarity ,
- Language Model ,
- Remainder Of This Section ,
- Ranking Method ,
- Percent Accuracy ,
- New York City ,
- Probabilistic Graphical Models ,
- Learning To Rank ,
- Wikipedia Articles ,
- Textual Context ,
- Pointwise Mutual Information ,
- Annotated Examples ,
- DBpedia ,
- Dice Score ,
- Text Similarity ,
- Support Vector Machine Classifier ,
- Search Engine
- Author Keywords
Keywords assist with retrieval of results and provide a means to discovering other relevant content. Learn more.
- IEEE Keywords
- Index Terms
- Knowledge Base ,
- Entity Linking ,
- Information Extraction ,
- Information Retrieval ,
- Named Entity Recognition ,
- Web Data ,
- Text Mentions ,
- Training Data ,
- Support Vector Machine ,
- Probabilistic Model ,
- Binary Classification ,
- Acronym ,
- Annotation Data ,
- Semantic Similarity ,
- Language Model ,
- Remainder Of This Section ,
- Ranking Method ,
- Percent Accuracy ,
- New York City ,
- Probabilistic Graphical Models ,
- Learning To Rank ,
- Wikipedia Articles ,
- Textual Context ,
- Pointwise Mutual Information ,
- Annotated Examples ,
- DBpedia ,
- Dice Score ,
- Text Similarity ,
- Support Vector Machine Classifier ,
- Search Engine
- Author Keywords