TY - GEN
T1 - Extraction and Evaluation of Statistical Information from Social and Behavioral Science Papers
AU - Teja Lanka, Sree Sai
AU - Rajtmajer, Sarah
AU - Wu, Jian
AU - Giles, C. Lee
N1 - Publisher Copyright:
© 2021 ACM.
PY - 2021/4/19
Y1 - 2021/4/19
N2 - With substantial and continuing increases in the number of published papers across the scientific literature, development of reliable approaches for automated discovery and assessment of published findings is increasingly urgent. Tools which can extract critical information from scientific papers and metadata can support representation and reasoning over existing findings, and offer insights into replicability, robustness and generalizability of specific claims. In this work, we present a pipeline for the extraction of statistical information (p-values, sample size, number of hypotheses tested) from full-Text scientific documents. We validate our approach on 300 papers selected from the social and behavioral science literatures, and suggest directions for next steps.
AB - With substantial and continuing increases in the number of published papers across the scientific literature, development of reliable approaches for automated discovery and assessment of published findings is increasingly urgent. Tools which can extract critical information from scientific papers and metadata can support representation and reasoning over existing findings, and offer insights into replicability, robustness and generalizability of specific claims. In this work, we present a pipeline for the extraction of statistical information (p-values, sample size, number of hypotheses tested) from full-Text scientific documents. We validate our approach on 300 papers selected from the social and behavioral science literatures, and suggest directions for next steps.
UR - http://www.scopus.com/inward/record.url?scp=85107626443&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85107626443&partnerID=8YFLogxK
U2 - 10.1145/3442442.3451363
DO - 10.1145/3442442.3451363
M3 - Conference contribution
AN - SCOPUS:85107626443
T3 - The Web Conference 2021 - Companion of the World Wide Web Conference, WWW 2021
SP - 426
EP - 430
BT - The Web Conference 2021 - Companion of the World Wide Web Conference, WWW 2021
PB - Association for Computing Machinery, Inc
T2 - 30th World Wide Web Conference, WWW 2021
Y2 - 19 April 2021 through 23 April 2021
ER -