Tags: entity recognition

Past Projects

  1. Tables to Linked Data

Publications

2022

  1. C. Hanks, M. Maiden, P. Ranade, T. Finin, and A. Joshi, "Recognizing and Extracting Cybersecurity Entities from Text", InProceedings, Workshop on Machine Learning for Cybersecurity, International Conference on Machine Learning, July 2022, 345 downloads.
  2. C. Hanks and M. Maiden, "CyNER: A Cybersecurity Domain Specific Dataset for Named Entity Recognition", Misc, UMBC Undergraduate Research and Creative Achievement Day, April 2022, 216 downloads.

2020

  1. S. Dasgupta, A. Piplai, A. Kotal, and A. Joshi, "A Comparative Study of Deep Learning based Named Entity Recognition Algorithms for Cybersecurity", InProceedings, IEEE International Conference on Big Data 2020, December 2020, 779 downloads.
  2. C. H. Song, D. Lawrie, T. Finin, and J. Mayfield, "Gazetteer Generation for Neural Named Entity Recognition", InProceedings, Proceedings of the 33rd International FLAIRS Conference, May 2020, 650 downloads.
  3. C. H. Song, D. Lawrie, and T. Finin, "Improving Neural Named Entity Recognition with Gazetteers", Article, arXiv:2003.03072, March 2020, 977 downloads.

2019

  1. O. M. Singh, A. Padia, and A. Joshi, "Named Entity Recognition for Nepali Language", Article, arXiv:1908.05828 [cs.CL], August 2019, 550 downloads.

2015

  1. T. Finin, D. Lawrie, P. McNamee, J. Mayfield, D. Oard, N. Peng, N. Gao, Y. Lin, J. MacKin, and T. Dowd, "HLTCOE Participation in TAC KBP 2015: Cold Start and TEDL", InProceedings, Eighth Text Analysis Conference, November 2015, 776 downloads.

2013

  1. R. Lal, "Information Extraction of Security related entities and concepts from unstructured text.", MastersThesis, University of Maryland Baltimore County, May 2013, 2023 downloads.

2010

  1. W. Murnane, "Improving Accuracy of Named Entity Recognition on Social Media Data", MastersThesis, University of Maryland, Baltimore County, August 2010, 5340 downloads, 3 citations.
  2. T. Finin, W. Murnane, A. Karandikar, N. Keller, J. Martineau, and M. Dredze, "Annotating named entities in Twitter data with crowdsourcing", InProceedings, Proceedings of the NAACL Workshop on Creating Speech and Text Language Data With Amazon's Mechanical Turk, June 2010, 2707 downloads.