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Everything about Entity linking
Concept in natural language processing
In natural language processing, entity linking, also referred to as named-entity disambiguation (NED), named-entity recognition and disambiguation (NERD), named-entity normalization (NEN), or concept recognition, is the task of assigning a unique identity to entities mentioned in text. For example, given the sentence "Paris is the capital of France", the main idea is to first identify "Paris" and "France" as named entities, and then to determine that "Paris" refers to the city of Paris and not to Paris Hilton or any other entity that could be referred to as "Paris" and "France" to the French country. Wikipedia →
🧭 Start here: a 6-step reading path
- Read the overview: Entity linkingA 5-minute orientation
- Skim a recent paper: An overview of biomedical entity linking throughout the yearsInfluential work since 2022
- Pick up a classic book: Software EngineeringThe most-reprinted book on the subject
- Read the landmark paper: Evaluating Entity Linking with WikipediaCited 154 times
- Go sideways: Question answeringA closely related topic
- Go sideways: AnnotationA closely related topic
📖 Definitions
No dictionary entry for this exact phrase.
🗂️ The subject at a glance
🏆 Landmark papers (most cited)
Evaluating Entity Linking with Wikipedia
Design Challenges for Entity Linking
Multilingual Autoregressive Entity Linking
Improving Entity Linking by Modeling Latent Entity Type Information
Fine-Grained Entity Typing for Domain Independent Entity Linking
Entity Linking: An Issue to Extract Corresponding Entity With Knowledge Base
Entity linking for biomedical literature
Neural Cross-Lingual Entity Linking
🆕 Influential since 2022
An overview of biomedical entity linking throughout the years
Visual Entity Linking via Multi-modal Learning
Trajectory-Based Spatiotemporal Entity Linking
Improving biomedical entity linking for complex entity mentions with LLM-based text simplification
NILINKER: Attention-based approach to NIL Entity Linking
📚 Books worth reading
Software EngineeringRoger S. Pressman, Bruce Maxim · 1982
Natural Language Processing and Information SystemsElisabeth Métais · 2005
Statistical Atlases and Computational Models of the Heart. Imaging and Modelling ChallengesOscar Camara · 2012- 📕Private health insuranceUnited States. General Accounting Office · 1997
Semantic Web and Web ScienceJuanzi Li · 2013- 📕LTE for public safetyRainer Liebhart · 2015
Wireless Sensor NetworksPiet Demeester · 2013
Handbook of Data QualityShazia Sadiq · 2013
Ranked by number of editions on Open Library, a rough measure of how lasting a book is.
🔗 Related topics
- Question answering Question answering (QA) is a computer science discipline within the fields of information retrieval and natural language processing (NLP) that is concerned…
- Annotation An annotation is extra information associated with a particular point in a document or other piece of information. It can be a note that includes a comment…
- Author name disambiguation Author name disambiguation is the process of disambiguation and record linkage applied to the names of individual people. The process could, for example…
- Toponym resolution In geographic information systems, toponym resolution is the relationship process between a toponym, i.e. the mention of a place, and an unambiguous spatial…
- Explicit semantic analysis In natural language processing and information retrieval, explicit semantic analysis (ESA) is a vectoral representation of text (individual words or entire…
- Information retrieval In computing and information science, information retrieval (IR) is the task of identifying and retrieving information system resources that are relevant…
- Learning to rank Learning to rank (LTR) or machine-learned ranking (MLR) is the application of machine learning, often supervised, semi-supervised or reinforcement learning…
- Content similarity detection Content similarity detection or plagiarism detection is the process of locating instances of plagiarism or copyright infringement within a work or document…