• 2 Citations
  • 1 h-Index
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Fingerprint Dive into the research topics where Michael Stewart is active. These topic labels come from the works of this person. Together they form a unique fingerprint.

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Datalog Mathematics
Knowledge Discovery Mathematics
Glossaries Engineering & Materials Science
Knowledge acquisition Engineering & Materials Science
Web-based Mathematics
Data mining Engineering & Materials Science
Software System Mathematics
Data warehouses Engineering & Materials Science

Research Output 2017 2019

  • 2 Citations
  • 1 h-Index
  • 3 Conference paper

Redcoat: A Collaborative Annotation Tool for Hierarchical Entity Typing

Stewart, M., Liu, W. & Cardell-Oliver, R., Nov 2019, Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP): System Demonstrations. Association for Computational Linguistics, p. 193-198 5 p.

Research output: Chapter in Book/Conference paperConference paper

Open Access
Knowledge acquisition
Electronic mail

Short-Text Lexical Normalisation on Industrial Log Data

Stewart, M., Liu, W., Cardell-Oliver, R. & Wang, R., 1 Nov 2018, 2018 IEEE International Conference on Big Knowledge (ICBK). Singapore: IEEE, Institute of Electrical and Electronics Engineers, p. 113-122 10 p.

Research output: Chapter in Book/Conference paperConference paper

Recurrent neural networks
Systems engineering
Long short-term memory
2 Citations (Scopus)

An interactive web-based toolset for knowledge discovery from short text log data

Stewart, M., Liu, W., Cardell-Oliver, R. & Griffin, M., 1 Jan 2017, Advanced Data Mining and Applications - 13th International Conference, ADMA 2017, Proceedings. Germany: Springer-Verlag London Ltd., p. 853-858 6 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 10604 LNAI).

Research output: Chapter in Book/Conference paperConference paper

Knowledge Discovery
Data mining
Software System