COSMOS resources


Mohoneym, J., R. Waleffe, Y. Xu, T. Rekatsinas, S. Venkataraman. 2021. Learning massive graph embeddings on a single machine. arXiv:2101.08358.

Goswami, A., A. Bhat, H. Ohana, T. Rekatsinas. 2020. Unsupervised relation extraction from language models using constrained cloze completion. arXiv:2010.06804.

Goswami, A., J. McGrath, S. Peters, T. Rekatsinas. 2019. Fine-Grained Object Detection over Scientific Document Images with Region Embeddings. arXiv:1910.12462.

Wu, S., Hsiao, L., Cheng, X., Hancock, B., Rekatsinas, T., Levis, P., & RĂ©, C. 2018. Fonduer: Knowledge base construction from richly formatted data. In Proceedings of the 2018 International Conference on Management of Data (pp. 1301-1316). ACM.

Marsicek, J., S. Goring, S. Marcott, S. Meyers, S.E. Peters, I. Ross, B. Singer, and J.W. Williams. 2018. Automated Extraction of Spatiotemporal Geoscientific Data from the Literature using GeoDeepDive. PAGES Magazine 26(2):70. doi:10.22498/pages.26.2.70.

Peters, S.E., J.M. Husson, J. Wilcots. 2017. The rise and fall of stromatolites in shallow marine environments. Geology 45(6):487-490. doi:10.1130/G38931.1.

Peters, S.E., I. Ross, J. Czaplewski, A. Glassel, J. Husson, V. Syverson, A. Zaffos, M. Livny. 2017. A new tool for deep-down data mining. Eos 98. doi:10.1029/2017EO082377.



  • COSMOS model code is in the Cosmos repo.
  • The xDD API provides ElasticSearch access to term-based searches in document full text as well as corpus summary statistics.