资 源 简 介
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EARS is an open source toolkit for entity-oriented search and discovery in large text collections. Currently, EARS supports two main tasks: finding entities ("Which entities are associated with topic X?") and profiling entities ("What topics is an entity associated with?").
Background
The association finding framework and models implemented in EARS were originally developed for expertise retrieval in an organizational setting, over a period of more than three years. These models are able to incorporate and exploit special characteristics and features of test collections and/or the organizational settings that they represent, and are considered
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CHANGELOG
doc
.DS_Store
html
EARS.vcproj
examples
.DS_Store
ilps_abstracts
directFile
documentLengths
documentStatistics
fieldsFile
frequentID
frequentString
frequentTerms
infrequentID
infrequentString
invertedFile
manifest
uvt
HOWTO
include
AssociationFramework.hpp
AssociationModel.hpp
DataTypes.hpp
DoubleDocUnigramCounter.hpp
EntityRep.hpp
Logger.hpp
Model1.hpp
Model2.hpp
OutputWriter.hpp
QueryRep.hpp
Stat.hpp
INSTALL
LICENSE
Makefile
obj
.DS_Store
README
src
AssociationFramework.cpp
AssociationModel.cpp
DoubleDocUnigramCounter.cpp
ears.cpp
EntityRep.cpp
Model1.cpp
Model2.cpp
OutputWriter.cpp
QueryRep.cpp
Stat.cpp
