Systems and methods for quantum monte carlo processing
US-2024428112-A1 · Dec 26, 2024 · US
US9104979B2 · US · B2
| Field | Value |
|---|---|
| Publication number | US-9104979-B2 |
| Application number | US-201113162563-A |
| Country | US |
| Kind code | B2 |
| Filing date | Jun 16, 2011 |
| Priority date | Jun 16, 2011 |
| Publication date | Aug 11, 2015 |
| Grant date | Aug 11, 2015 |
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A classifier that disambiguates among entities based on a dictionary, such as corpus of documents about those entities, is built by incorporating probabilities that an entity exists that is not in the dictionary. Given a document it is associated by the classifier with an entity. By incorporating out of collection probabilities into the classifier, a higher level of confidence in the match between an entity and a document is achieved.
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What is claimed is: 1. A computer-implemented process for building a classifier for associating an entity with a document, comprising: accessing a dictionary that maps entities to related terms; partitioning the dictionary by entity names to provide a set of partitions, each partition relating to an entity name; estimating, for a partition, a probability that is a function of a. a probability that an entity has the entity name related to the partition and b. an estimated size…
Physics · mapped topic
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Physics · mapped topic
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