Semantic text analysis for glossary maintenance
AssigneeInternational Business Machines Corporation
InventorsToshihiro Takahashi, Takaaki Tateishi
Life of this patent
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Abstract
A computer-implemented method (CIM), according to one embodiment, includes causing a first search to be performed on a first knowledge base for a first descriptive name, and extracting sentences from results of the first search. The method further includes running at least one predetermined deep learning model on the results of the first search for determining similarity scores for each of the extracted sentences, where each of the similarity scores defines a similarity score for an associated one of the extracted sentences and a first glossary. A first of the determined similarity scores is used to map terms of a second glossary to terms of the first glossary to enhance context provided in search results generated using the glossaries.
Claims15
A computer-implemented method (CIM), the CIM comprising:
- causing a first search to be performed on a first knowledge base for a first descriptive name;
- extracting sentences from results of the first search,
- wherein the extracted sentences include labels associated with the first descriptive name and descriptions of the labels;
- running at least one predetermined deep learning model on the results of the first search for determining similarity scores for the extracted sentences, wherein each of the similarity scores defines a similarity score for an associated one of the extracted sentences and a first glossary;
- determining a first of the determined similarity scores, wherein the first determined similarity score has a relatively greater similarity score than the other determined similarity scores;
- and
- using the first determined similarity score to map terms of a second glossary to terms of the first glossary to enhance context provided in search results generated using the glossaries.
A computer program product (CPP), the CPP comprising:
- a set of one or more computer-readable storage media;
- and
- program instructions, collectively stored in the set of one or more computer-readable storage media, for causing a processor set to perform the following computer operations:
- cause a first search to be performed on a first knowledge base for a first descriptive name;
- extract sentences from results of the first search,
- wherein the extracted sentences include labels associated with the first descriptive name and descriptions of the labels;
- run at least one predetermined deep learning model on the results of the first search for determining similarity scores for the extracted sentences, wherein each of the similarity scores defines a similarity score for an associated one of the extracted sentences and a first glossary;
- determine a first of the determined similarity scores, wherein the first determined similarity score has a relatively greater similarity score than the other determined similarity scores;
- and
- use the first determined similarity score to map terms of a second glossary to terms of the first glossary to enhance context provided in search results generated using the glossaries.
A computer system (CS), the CS comprising:
- a processor set;
- a set of one or more computer-readable storage media;
- program instructions, collectively stored in the set of one or more storage media, for causing the processor set to perform the following computer operations:
- cause a first search to be performed on a first knowledge base for a first descriptive name;
- extract sentences from results of the first search,
- wherein the extracted sentences include labels associated with the first descriptive name and descriptions of the labels;
- run at least one predetermined deep learning model on the results of the first search for determining similarity scores for the extracted sentences, wherein each of the similarity scores defines a similarity score for an associated one of the extracted sentences and a first glossary;
- determine a first of the determined similarity scores, wherein the first determined similarity score has a relatively greater similarity score than the other determined similarity scores;
- and
- use the first determined similarity score to map terms of a second glossary to terms of the first glossary to enhance context provided in search results generated using the glossaries.
Dependencies are inferred from the claim text.