Rüdiger Loitz

Orcid: 0009-0002-6947-9956

According to our database1, Rüdiger Loitz authored at least 13 papers between 2019 and 2023.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Links

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Bibliography

2023
Contradiction Detection in Financial Reports.
Proceedings of the 2023 Northern Lights Deep Learning Workshop, 2023

sustain.AI: a Recommender System to analyze Sustainability Reports.
Proceedings of the Nineteenth International Conference on Artificial Intelligence and Law, 2023

Improving Zero-Shot Text Matching for Financial Auditing with Large Language Models.
Proceedings of the ACM Symposium on Document Engineering 2023, 2023

Uncovering Inconsistencies and Contradictions in Financial Reports using Large Language Models.
Proceedings of the IEEE International Conference on Big Data, 2023

Towards Automated Regulatory Compliance Verification in Financial Auditing with Large Language Models.
Proceedings of the IEEE International Conference on Big Data, 2023

2022
Anonymization of German financial documents using neural network-based language models with contextual word representations.
Int. J. Data Sci. Anal., 2022

KPI-BERT: A Joint Named Entity Recognition and Relation Extraction Model for Financial Reports.
Proceedings of the 26th International Conference on Pattern Recognition, 2022

Zero-Shot Text Matching for Automated Auditing using Sentence Transformers.
Proceedings of the 21st IEEE International Conference on Machine Learning and Applications, 2022

Towards automating Numerical Consistency Checks in Financial Reports.
Proceedings of the IEEE International Conference on Big Data, 2022

2021
Automatic Indexing of Financial Documents via Information Extraction.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2021

ALiBERT: improved automated list inspection (ALI) with BERT.
Proceedings of the DocEng '21: ACM Symposium on Document Engineering 2021, 2021

2019

A Hybrid AI Tool to Extract Key Performance Indicators from Financial Reports for Benchmarking.
Proceedings of the ACM Symposium on Document Engineering 2019, 2019


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