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Michael Loster
Michael Loster
Hasso-Plattner-Institute
Verified email at hpi.uni-potsdam.de
Title
Cited by
Cited by
Year
Will I like it? Providing product overviews based on opinion excerpts
S Homoceanu, M Loster, C Lofi, WT Balke
IEEE Conference on Commerce and Enterprise Computing (CEC), 26-33, 2011
372011
Knowledge transfer for entity resolution with siamese neural networks
M Loster, I Koumarelas, F Naumann
Journal of Data and Information Quality (JDIQ) 13 (1), 1-25, 2021
232021
Improving Company Recognition from Unstructured Text by using Dictionaries.
M Loster, Z Zuo, F Naumann, O Maspfuhl, D Thomas
International Conference on Extending Database Technology (EDBT), 610-619, 2017
222017
Uncovering Business Relationships: Context-sensitive Relationship Extraction for Difficult Relationship Types
Z Zuo, M Loster, R Krestel, F Naumann
Proceedings of the Conference "Lernen, Wissen, Daten, Analysen" (LWDA), 2017
152017
Few-shot knowledge validation using rules
M Loster, D Mottin, P Papotti, J Ehmüller, B Feldmann, F Naumann
Proceedings of the Web Conference 2021, 3314-3324, 2021
112021
CurEx: A System for Extracting, Curating, and Exploring Domain-Specific Knowledge Graphs from Text
M Loster, F Naumann, J Ehmueller, B Feldmann
Proceedings of the International Conference on Information and Knowledge …, 2018
102018
High availability and disaster recovery options for DB2 for Linux, UNIX, and Windows
S Bartkowski, C De Buitlear, A Kalicki, M Loster, M Marczewski, A Mosaad, ...
IBM Redbooks, 2012
92012
Dissecting Company Names using Sequence Labeling
M Loster, M Hegner, F Naumann, U Leser
Proceedings of the Conference "Lernen, Wissen, Daten, Analysen" (LWDA), 227-238, 2018
42018
Knowledge base construction with machine learning methods
M Loster
Universität Potsdam, 2021
32021
The challenges of creating, maintaining and exploring graphs of financial entities
M Loster, T Repke, R Krestel, F Naumann, J Ehmueller, B Feldmann, ...
Proceedings of the Fourth International Workshop on Data Science for Macro …, 2018
32018
Comparing features for ranking relationships between financial entities based on text
T Repke, M Loster, R Krestel
Proceedings of the 3rd International Workshop on Data Science for Macro …, 2017
12017
Combination of rule-based and textual similarity approaches to match financial entities
A Samiei, I Koumarelas, M Loster, F Naumann
Proceedings of the Second International Workshop on Data Science for Macro …, 2016
12016
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