International business machines corporation (20240160653). KEYPHRASE GENERATION simplified abstract
Contents
- 1 KEYPHRASE GENERATION
- 1.1 Organization Name
- 1.2 Inventor(s)
- 1.3 KEYPHRASE GENERATION - 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 How does this technology handle multi-language documents?
- 1.11 What is the computational cost of implementing this technology?
- 1.12 Original Abstract Submitted
KEYPHRASE GENERATION
Organization Name
international business machines corporation
Inventor(s)
Md Faisal Mahbub Chowdhury of Woodside NY (US)
Alfio Massimiliano Gliozzo of Brooklyn NY (US)
Gaetano Rossiello of Brooklyn NY (US)
Michael Robert Glass of Bayonne NJ (US)
NANDANA SAMPATH Mihindukulasooriya of Dublin (IE)
KEYPHRASE GENERATION - A simplified explanation of the abstract
This abstract first appeared for US patent application 20240160653 titled 'KEYPHRASE GENERATION
Simplified Explanation
The patent application describes a method for generating keyphrases from a document using a trained model and calculating relevance scores for each keyphrase based on its similarity to the document. The relevance scores are then adjusted using a diversity balancing function.
- Keyphrases are generated for input documents using a trained model.
- Relevance scores are calculated for each keyphrase based on similarity to the document.
- Relevance scores are adjusted using a diversity balancing function.
Potential Applications
This technology could be applied in information retrieval systems, search engines, and document summarization tools.
Problems Solved
This technology helps in automatically generating keyphrases for documents, which can improve search results and aid in document summarization.
Benefits
The technology saves time and effort by automating the keyphrase generation process, improves search accuracy, and enhances document summarization.
Potential Commercial Applications
"Automated Keyphrase Generation for Document Summarization and Information Retrieval"
Possible Prior Art
There may be existing methods for keyphrase generation and document summarization, but the specific approach of using a trained model and adjusting relevance scores based on a diversity balancing function may be novel.
Unanswered Questions
How does this technology handle multi-language documents?
The article does not mention how the keyphrase generation model deals with documents in multiple languages. This could be important for applications in multilingual environments.
What is the computational cost of implementing this technology?
The article does not provide information on the computational resources required to train and use the keyphrase generation model. Understanding the computational cost could be crucial for practical applications of this technology.
Original Abstract Submitted
using a trained keyphrase generation model, a set of keyphrases corresponding to an input document is generated, a keyphrase in the set of keyphrases comprising a word summarizing a portion of a document. a relevance score measuring a similarity between the keyphrase and the document is calculated for a keyphrase in the set of keyphrases. the relevance score is adjusted according to a diversity balancing function.
