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Lars Hillebrand
Lars Hillebrand
PhD Student, Fraunhofer IAIS and University of Bonn
Verified email at iais.fraunhofer.de
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Towards automated auditing with machine learning
R Sifa, A Ladi, M Pielka, R Ramamurthy, L Hillebrand, B Kirsch, D Biesner, ...
Proceedings of the ACM Symposium on Document Engineering 2019, 1-4, 2019
422019
Kpi-bert: A joint named entity recognition and relation extraction model for financial reports
L Hillebrand, T Deußer, T Dilmaghani, B Kliem, R Loitz, C Bauckhage, ...
2022 26th International Conference on Pattern Recognition (ICPR), 606-612, 2022
322022
Anonymization of german financial documents using neural network-based language models with contextual word representations
D Biesner, R Ramamurthy, R Stenzel, M Lübbering, L Hillebrand, A Ladi, ...
International Journal of Data Science and Analytics, 1-11, 2021
262021
Towards contradiction detection in german: a translation-driven approach
R Sifa, M Pielka, R Ramamurthy, A Ladi, L Hillebrand, C Bauckhage
2019 IEEE Symposium Series on Computational Intelligence (SSCI), 2497-2505, 2019
212019
Tackling contradiction detection in german using machine translation and end-to-end recurrent neural networks
M Pielka, R Sifa, LP Hillebrand, D Biesner, R Ramamurthy, A Ladi, ...
2020 25th International Conference on Pattern Recognition (ICPR), 6696-6701, 2021
142021
Towards Generating Financial Reports From Table Data Using Transformers
C Chapman, L Hillebrand, MR Stenzel, T Deusser, C Bauckhage, R Sifa
TechRxiv, 2021
102021
KPI-EDGAR: A novel dataset and accompanying metric for relation extraction from financial documents
T Deußer, SM Ali, L Hillebrand, D Nurchalifah, B Jacob, C Bauckhage, ...
2022 21st IEEE International Conference on Machine Learning and Applications …, 2022
92022
Knowledge graph based question answering system for financial securities
M Bulla, L Hillebrand, M Lübbering, R Sifa
German Conference on Artificial Intelligence (Künstliche Intelligenz), 44-50, 2021
62021
Towards automating numerical consistency checks in financial reports
L Hillebrand, T Deußer, T Dilmaghani, B Kliem, R Loitz, C Bauckhage, ...
2022 IEEE International Conference on Big Data (Big Data), 5915-5924, 2022
52022
Interpretable Topic Extraction and Word Embedding Learning Using Non-Negative Tensor DEDICOM
L Hillebrand, D Biesner, C Bauckhage, R Sifa
Machine Learning and Knowledge Extraction 3 (1), 123-167, 2021
42021
Hybrid Ensemble Predictor as Quality Metric for German Text Summarization: Fraunhofer IAIS at GermEval 2020 Task 3.
D Biesner, E Brito, LP Hillebrand, R Sifa
SwissText/KONVENS, 2020
42020
Improving Zero-Shot Text Matching for Financial Auditing with Large Language Models
L Hillebrand, A Berger, T Deußer, T Dilmaghani, M Khaled, B Kliem, ...
Proceedings of the ACM Symposium on Document Engineering 2023, 1-4, 2023
32023
Interpretable Topic Extraction and Word Embedding Learning Using Row-Stochastic DEDICOM
L Hillebrand, D Biesner, C Bauckhage, R Sifa
International Cross-Domain Conference for Machine Learning and Knowledge …, 2020
32020
Towards supervised extractive text summarization via RNN-based sequence classification
E Brito, M Lübbering, D Biesner, LP Hillebrand, C Bauckhage
arXiv preprint arXiv:1911.06121, 2019
32019
Max Lübbering, et al. 2019. Towards automated auditing with machine learning
R Sifa, A Ladi, M Pielka, R Ramamurthy, L Hillebrand, B Kirsch, D Biesner, ...
ACM Symposium on Document Engineering 2019, 0
3
Informed Named Entity Recognition Decoding for Generative Language Models
T Deußer, L Hillebrand, C Bauckhage, R Sifa
arXiv preprint arXiv:2308.07791, 2023
22023
Automatic Consistency Checking of Table and Text in Financial Documents
SM Ali, T Deußer, S Houben, L Hillebrand, T Metzler, R Sifa
Proceedings of the Northern Lights Deep Learning Workshop 4, 2023
22023
Leveraging Contextual Text Representations for Anonymizing German Financial Documents
D Biesner, R Ramamurthy, M Lübbering, B Fürst, H Ismail, L Hillebrand, ...
Workshop on Knowledge Discovery from Unstructured Data in Financial Services, 2020
22020
sustain. AI: a Recommender System to analyze Sustainability Reports
L Hillebrand, M Pielka, D Leonhard, T Deußer, T Dilmaghani, B Kliem, ...
arXiv preprint arXiv:2305.08711, 2023
2023
Cryptocurrencies: Trading and Return Prediction via Machine Learning Methods
TKS Deußer, LP Hillebrand
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