Aug 13, 2019 · This study uses a novel simulation framework to evaluate whether the time and effort necessary to achieve high recall using active learning is reduced.
Mar 23, 2018 · This study uses a novel simulation framework to evaluate whether the time and effort necessary to achieve high recall using active learning is ...
Simulation results indicate that the use of isolated sentences for relevance feedback can yield comparable accuracy and higher efficiency, relative to the ...
This study uses a novel simulation framework to evaluate whether the time and effort necessary to achieve high recall using active learning is reduced
This study uses a novel simulation framework to evaluate whether the time and effort necessary to achieve high recall using active learning is reduced by ...
Title, Evaluating Sentence-Level Relevance Feedback for High-Recall Information Retrieval. Publication Type, Journal Article. Year of Publication, 2018.
Apr 19, 2018 · This study uses a novel simulation framework to evaluate whether the time and effort necessary to achieve high recall using active learning is reduced.
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Dec 9, 2019 · Bibliographic details on Evaluating Sentence-Level Relevance Feedback for High-Recall Information Retrieval.
The results of the simulation study show that judging even a single extracted sentence for relevance feedback may be adequate for CAL to achieve high recall.
A set of relevance judgments, standardly a binary assessment of either relevant or nonrelevant for each query-document pair. The standard approach to ...