18464689. METHOD AND APPARATUS WITH ENTITY LINKING simplified abstract (Samsung Electronics Co., Ltd.)
Contents
- 1 METHOD AND APPARATUS WITH ENTITY LINKING
- 1.1 Organization Name
- 1.2 Inventor(s)
- 1.3 METHOD AND APPARATUS WITH ENTITY LINKING - A simplified explanation of the abstract
- 1.4 Simplified Explanation
- 1.5 Potential Applications
- 1.6 Problems Solved
- 1.7 Benefits
- 1.8 Potential Commercial Applications
- 1.9 Possible Prior Art
- 1.10 Original Abstract Submitted
METHOD AND APPARATUS WITH ENTITY LINKING
Organization Name
Inventor(s)
Jiseung Jeong of Suwon-si (KR)
METHOD AND APPARATUS WITH ENTITY LINKING - A simplified explanation of the abstract
This abstract first appeared for US patent application 18464689 titled 'METHOD AND APPARATUS WITH ENTITY LINKING
Simplified Explanation
The patent application describes a method for entity linking, which involves extracting an entity from a text input, obtaining candidate entities related to the extracted entity, determining a keyword from the input context, generating keyword-based entity information, and identifying the top-matching entity from the candidate entities based on the keyword-based entity information.
- Extracting entity from input context
- Obtaining candidate entities based on the extracted entity
- Determining a keyword from the input context
- Generating keyword-based entity information
- Identifying the top-matching entity from candidate entities
Potential Applications
This technology could be applied in information retrieval systems, content recommendation engines, and natural language processing applications.
Problems Solved
This technology helps in accurately linking entities mentioned in text to relevant information, improving search results and content recommendations.
Benefits
The method enhances the efficiency and accuracy of entity linking processes, leading to better search results, personalized recommendations, and improved user experience.
Potential Commercial Applications
Potential commercial applications include search engines, e-commerce platforms, content recommendation systems, and data analytics tools.
Possible Prior Art
One possible prior art could be existing entity linking algorithms and methods used in natural language processing and information retrieval systems.
Unanswered Questions
How does this method handle ambiguous entities in the input context?
The method does not specify how it deals with entities that have multiple meanings or interpretations. Further details on disambiguation techniques would be helpful.
Can this method handle large volumes of text data efficiently?
The scalability and performance of the method when processing large amounts of text data are not addressed in the abstract. More information on the system's capabilities with big data would be beneficial.
Original Abstract Submitted
Disclosed is an entity linking method. A method includes: extracting an entity from an input context including text stored in a memory; obtaining candidate entities corresponding to, and based on, the extracted entity; determining a keyword based on the input context; generating keyword-based entity information based on the keyword and based on the extracted entity; and determining a top-matching entity corresponding to the entity based on the keyword-based entity information and the plurality of candidate entities.
