Tags: named entity recognition

Publications

2022

  1. C. Hanks, M. Maiden, P. Ranade, T. Finin, and A. Joshi, "CyberEnt: Extracting Domain Specific Entities from Cybersecurity Text", InProceedings, Mid-Atlantic Student Colloquium on Speech, Language and Learning, April 2022, 883 downloads.
  2. C. Hanks and M. Maiden, "CyberEnt: A Cybersecurity Domain Specific Dataset for Named Entity Recognition", Misc, UMBC Undergraduate Research and Creative Achievement Day, April 2022, 558 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, 1072 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, 859 downloads.
  3. C. H. Song, D. Lawrie, and T. Finin, "Improving Neural Named Entity Recognition with Gazetteers", Article, arXiv:2003.03072, March 2020, 1447 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, 766 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, 917 downloads.

2013

  1. R. Lal, "Information Extraction of Security related entities and concepts from unstructured text.", MastersThesis, University of Maryland Baltimore County, May 2013, 2296 downloads.

2012

  1. v. Stoyanov, J. Mayfield, T. Xu, D. Oard, D. Lawrie, T. Oates, and T. Finin, "A Context-Aware Approach to Entity Linking", InProceedings, Joint Workshop on Automatic Knowledge Base Construction and Web-scale Knowledge Extraction, June 2012, 2985 downloads.

2010

  1. W. Murnane, "Improving Accuracy of Named Entity Recognition on Social Media Data", MastersThesis, University of Maryland, Baltimore County, August 2010, 5616 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, 3030 downloads.