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A multi-world approach to question answering about real-world scenes based on uncertain input
We propose a method for automatically answering questions about images by bringing
together recent advances from natural language processing and computer vision. We …
together recent advances from natural language processing and computer vision. We …
[ספר][B] Probabilistic databases
Probabilistic databases are databases where the value of some attributes or the presence of
some records are uncertain and known only with some probability. Applications in many …
some records are uncertain and known only with some probability. Applications in many …
Incremental knowledge base construction using deepdive
Populating a database with unstructured information is a long-standing problem in industry
and research that encompasses problems of extraction, cleaning, and integration. Recent …
and research that encompasses problems of extraction, cleaning, and integration. Recent …
Towards a unified architecture for in-RDBMS analytics
The increasing use of statistical data analysis in enterprise applications has created an arms
race among database vendors to offer ever more sophisticated in-database analytics. One …
race among database vendors to offer ever more sophisticated in-database analytics. One …
Deepdive: Declarative knowledge base construction
The dark data extraction or knowledge base construction (KBC) problem is to populate a
SQL database with information from unstructured data sources including emails, webpages …
SQL database with information from unstructured data sources including emails, webpages …
DeepDive: Declarative knowledge base construction
The dark data extraction or knowledge base construction (KBC) problem is to populate a
relational database with information from unstructured data sources, such as emails …
relational database with information from unstructured data sources, such as emails …
DeepDive: a data management system for automatic knowledge base construction
C Zhang - 2015 - search.proquest.com
Many pressing questions in science are macroscopic: they require scientists to consult
information expressed in a wide range of resources, many of which are not organized in a …
information expressed in a wide range of resources, many of which are not organized in a …
A survey of uncertain data management
Uncertain data are data with uncertainty information, which exist widely in database
applications. In recent years, uncertainty in data has brought challenges in almost all …
applications. In recent years, uncertainty in data has brought challenges in almost all …
Argument discovery via crowdsourcing
The amount of controversial issues being discussed on the Web has been growing
dramatically. In articles, blogs, and wikis, people express their points of view in the form of …
dramatically. In articles, blogs, and wikis, people express their points of view in the form of …
Elementary: Large-scale knowledge-base construction via machine learning and statistical inference
Researchers have approached knowledge-base construction (KBC) with a wide range of
data resources and techniques. The authors present Elementary, a prototype KBC system …
data resources and techniques. The authors present Elementary, a prototype KBC system …