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ORCIDMichael Loster
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- affiliation: Hasso-Plattner-Institut
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Books and Theses
- 2021
[b1]Michael Loster:
Knowledge base construction with machine learning methods. University of Potsdam, Germany, 2021
Journal Articles
- 2021
- [j1]Michael Loster, Ioannis K. Koumarelas, Felix Naumann:
Knowledge Transfer for Entity Resolution with Siamese Neural Networks. ACM J. Data Inf. Qual. 13(1): 2:1-2:25 (2021)
Conference and Workshop Papers
- 2021
- [c9]Michael Loster, Davide Mottin, Paolo Papotti
, Jan Ehmüller, Benjamin Feldmann, Felix Naumann:
Few-Shot Knowledge Validation using Rules. WWW 2021: 3314-3324 - 2018
- [c8]Michael Loster, Felix Naumann, Jan Ehmueller, Benjamin Feldmann:
CurEx: A System for Extracting, Curating, and Exploring Domain-Specific Knowledge Graphs from Text. CIKM 2018: 1883-1886 - [c7]Michael Loster, Manuel Hegner, Felix Naumann, Ulf Leser:
Dissecting Company Names using Sequence Labeling. LWDA 2018: 227-238 - [c6]Michael Loster, Tim Repke, Ralf Krestel, Felix Naumann, Jan Ehmueller, Benjamin Feldmann, Oliver Maspfuhl:
The Challenges of Creating, Maintaining and Exploring Graphs of Financial Entities. DSMM@SIGMOD 2018: 6:1-6:2 - 2017
- [c5]Michael Loster, Zhe Zuo, Felix Naumann, Oliver Maspfuhl, Dirk Thomas:
Improving Company Recognition from Unstructured Text by using Dictionaries. EDBT 2017: 610-619 - [c4]Zhe Zuo, Michael Loster, Ralf Krestel, Felix Naumann:
Uncovering Business Relationships: Context-sensitive Relationship Extraction for Difficult Relationship Types. LWDA 2017: 271 - [c3]Tim Repke, Michael Loster, Ralf Krestel:
Comparing Features for Ranking Relationships Between Financial Entities based on Text. DSMM@SIGMOD 2017: 12:1-12:2 - 2016
- [c2]Ahmad Samiei, Ioannis K. Koumarelas, Michael Loster, Felix Naumann:
Combination of Rule-based and Textual Similarity Approaches to Match Financial Entities. DSMM@SIGMOD 2016: 4:1-4:2 - 2011
- [c1]Silviu Homoceanu, Michael Loster, Christoph Lofi, Wolf-Tilo Balke:
Will I Like It? Providing Product Overviews Based on Opinion Excerpts. CEC 2011: 26-33
Coauthor Index
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