Web Science and Digital Libraries Research Group

The 36th AAAI conference was held online between February 28 and March 1, 2022. I co-authored a demo paper titled " A synthetic prediction market for estimating confidence in published work " with my collaborators at Pennsylvania State University and Rutgers University. I also got a paper accepted by the 2nd Workshop on Advances, Resources, Tools, and Challenges of Scientific Document Understanding (SDU) , titled " Segmenting Technical Drawing Figures in US Patents ", with my collaborators at Los Alamos National Laboratory (LANL).  In this blog post, I focus on briefing four papers presented in the SDU workshop held on March 1, 2022, including my paper. Most papers mentioned in this blog post are highly relevant to my research in the field of mining scholarly big data.  1. Segmenting Technical Drawing Figures in US Patents (Hoque et al., ODU & LANL) This is our paper. The goal is to segment compound figures that include multiple subfigures. The paper compared ...

The AAAI-21 Workshop on Scientific Document Understanding (SDU) was co-located with the 35th AAAI Conference on Artificial Intelligence . This is another workshop focusing on scientific documents, following the Workshop on Scientific Document Processing (SDP) . The SDP workshop was last held with EMNLP 2020 . The workshop accepted 23 papers, including 14 long papers and 9 short papers, in the following topics: Information extraction: 7 Information veracity or significance: 5 Biomedical text proceeding: 4 Scientific image processing: 3 Document classification: 2 Summarization: 1 Reading comprehension: 1 I co-authored two papers accepted by the AAAI-21 SDU workshop, they are Understanding and Predicting Retractions of Published Work (by Sai Ajay Modukuri [PSU] ) Recognizing Figure Labels in Patents (by Ming Gong [Dayton] ) Retraction Prediction Paper The last two decades have seen growing concern in the scientific community on the integrity of published works, represented by an incre...