TY - GEN
T1 - FigExplorer
T2 - 43rd Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2020
AU - Kuzi, Saar
AU - Zhai, Cheng Xiang
AU - Tian, Yin
AU - Tang, Haichuan
N1 - Funding Information:
This work was supported in part by a research grant from the CRRC Overseas Research Center at the University of Illinois at Urbana-Champaign. We are grateful to Jiafeng Guo for his help with preparation of the Mechanical Engineering collection.
Publisher Copyright:
© 2020 ACM.
PY - 2020/7/25
Y1 - 2020/7/25
N2 - In this paper, we present FigExplorer, a novel general system that supports the retrieval and exploration of research article figures. Specifically, FigExplorer can support 1) figure retrieval using keyword queries, 2) exploration of related figures of a given figure, 3) exploration of a figure topic using the citation network, and 4) search result re-ranking using an example figure. The different functions were implemented using either classical IR models or neural network-based figure embeddings. Finally, the system was designed to facilitate the collection of user data for training and test purposes and it is flexible enough such that it can be extended to include new functions and algorithms. As an open-source system, FigExplorer can help advance the research, evaluation, and development of applications in this area.
AB - In this paper, we present FigExplorer, a novel general system that supports the retrieval and exploration of research article figures. Specifically, FigExplorer can support 1) figure retrieval using keyword queries, 2) exploration of related figures of a given figure, 3) exploration of a figure topic using the citation network, and 4) search result re-ranking using an example figure. The different functions were implemented using either classical IR models or neural network-based figure embeddings. Finally, the system was designed to facilitate the collection of user data for training and test purposes and it is flexible enough such that it can be extended to include new functions and algorithms. As an open-source system, FigExplorer can help advance the research, evaluation, and development of applications in this area.
KW - exploratory search
KW - figure retrieval
KW - research literature systems
KW - retrieval applications
UR - http://www.scopus.com/inward/record.url?scp=85090117596&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85090117596&partnerID=8YFLogxK
U2 - 10.1145/3397271.3401400
DO - 10.1145/3397271.3401400
M3 - Conference contribution
AN - SCOPUS:85090117596
T3 - SIGIR 2020 - Proceedings of the 43rd International ACM SIGIR Conference on Research and Development in Information Retrieval
SP - 2133
EP - 2136
BT - SIGIR 2020 - Proceedings of the 43rd International ACM SIGIR Conference on Research and Development in Information Retrieval
PB - Association for Computing Machinery, Inc
Y2 - 25 July 2020 through 30 July 2020
ER -