67 citations · 70 across the 5 of their papers we have counts for
6 papers
The Absurdity of Death Estimates Based on the Vaccine Adverse Event Reporting System
Gordon V Cormack, Maura R Grossman
We demonstrate from first principles a core fallacy employed by a coterie of authors who claim that data from the Vaccine Adverse Reporting System (VAERS) show that hundreds of tho…
The eDiscovery Medicine Show
Maura R. Grossman, Gordon V. Cormack
The practice of bloodletting gradually fell into disfavor as a growing body of scientific evidence showed its ineffectiveness and demonstrated the effectiveness of various pharmace…
Participation in TREC 2020 COVID Track Using Continuous Active Learning
Xue Jun Wang, Maura R. Grossman, Seung Gyu Hyun
We describe our participation in all five rounds of the TREC 2020 COVID Track (TREC-COVID). The goal of TREC-COVID is to contribute to the response to the COVID-19 pandemic by iden…
Evaluating Sentence-Level Relevance Feedback for High-Recall Information Retrieval
Haotian Zhang, Gordon V. Cormack, Maura R. Grossman +1
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 presenting the reviewer wi…
Impact of Feature Selection on Micro-Text Classification
Ankit Vadehra, Maura R. Grossman, Gordon V. Cormack
Social media datasets, especially Twitter tweets, are popular in the field of text classification. Tweets are a valuable source of micro-text (sometimes referred to as "micro-blogs…
Autonomy and Reliability of Continuous Active Learning for Technology-Assisted Review
Gordon V. Cormack, Maura R. Grossman
We enhance the autonomy of the continuous active learning method shown by Cormack and Grossman (SIGIR 2014) to be effective for technology-assisted review, in which documents from…