Literature reviews can be time-consuming and tedious to complete. By cataloging and
refactoring three state-of-the-art active learning techniques from evidence-based medicine …

The objective of technology-assisted review (" TAR") is to find as much relevant information
as possible with reasonable effort. Quality is a measure of the extent to which a TAR method …

We introduce an online learning approach for multitarget tracking. Detection responses are
gradually associated into tracklets in multiple levels to produce final tracks. Unlike most …

Context A hairy requirements engineering (RE) task involving natural language (NL)
documents is (1) a non-algorithmic task to find all relevant answers in a set of documents …

Literature reviews are essential for any researcher trying to keep up to date with the
burgeoning software engineering literature. Finding relevant papers can be hard due to the …

For finite document collections, continuous active learning ('CAL') has been observed to
achieve high recall with high probability, at a labeling cost asymptotically proportional to the …

HC4 is a new suite of test collections for ad hoc Cross-Language Information Retrieval
(CLIR), with Common Crawl News documents in Chinese, Persian, and Russian, topics in …

The primary purpose of the Total Recall Track is to evaluate, through controlled simulation,
methods designed to achieve very high recall–as close as practicable to 100%–with a …

Technology-Assisted Reviews (TAR) aim to expedite document reviewing (eg, medical
articles or legal documents) by iteratively incorporating machine learning algorithms and …

Technology-assisted Review (TAR), which aims to reduce the effort required to screen
collections of documents for relevance, is used to develop systematic reviews of medical …