Unstructured Information Management applications are software systems that analyze large volumes of unstructured information in order to discover knowledge that is relevant to an end user. An example UIM application might ingest plain text and identify entities, such as persons, places, organizations; or relations, such as works-for or located-at.
P. Xia, S. Wu, and B. Van Durme. Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP), page 7516--7533. Association for Computational Linguistics, (November 2020)
A. Hadgu, N. Lotze, and R. Jäschke. Proceedings of the Workshop on Natural Language Processing and Computational Social Science, Hannover, Germany, (May 2016)
M. Fleischman, and E. Hovy. IUI '03: Proceedings of the 8th international conference on Intelligent user interfaces, page 242--244. New York, NY, USA, ACM, (2003)
C. Scheible, R. Klinger, and S. Padó. Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), page 1736--1745. Berlin, Germany, Association for Computational Linguistics, (August 2016)
F. Arnold, and R. Jäschke. Proceedings of the Workshop on Natural Language Processing for Digital Humanities at ICON 2021, page 55--63. NLP Association of India, (2021)
E. Breck, Y. Choi, and C. Cardie. IJCAI'07: Proceedings of the 20th International Joint Conference on Artifical Intelligence, page 2683--2688. San Francisco, CA, USA, Morgan Kaufmann Publishers Inc., (2007)
J. Strötgen, and M. Gertz. Proceedings of the 5th International Workshop on Semantic Evaluation, page 321--324. Stroudsburg, PA, USA, Association for Computational Linguistics, (2010)
A. Nenkova, and R. Passonneau. Proceedings of the Human Language Technology Conference of the North American Chapter of the Association for Computational Linguistics: HLT-NAACL 2004, page 145--152. Boston, Massachusetts, USA, Association for Computational Linguistics, (2004)