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Software Engineering for Business Information Systems Boltzmannstraße 3 E-Mail: ingo.glaser@tum.de
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Unfortunately, I am not able anymore to supervise any thesis or guided research. Feel free to contact my colleagues with research interests in NLP and the legal domain.
Ingo has been a researcher at the chair for Software Engineering of Business Information Systems (sebis) at the Technical University of Munich (TUM) since October 2017. He holds a master's degree in Information Systems from TUM and wrote his master thesis about Semantic Analysis and Structuring of German Legal Documents using Named Entity Recognition and Disambiguation.
His research focuses on the intersection between computer science and law. He is very interested in the semantic analysis of legal documents, but also in general in the utilization of AI within the legal domain. Another interesting aspect of this research field is the modelling of legal documents, as well as the legal document creation process. Especially, Ingo is actively exploring how to turn unstructured legal data, in particular legal verdicts, into a structured representation. Thereby, such a structured representation shall be enriched by semantic information in order to improve legal information retrieval. The goal of his research is to expedite the digital transformation of the legal domain. Therefore, Ingo is always looking for attractive use cases to support the work of legal practitioners and realize their processes digitally. Within his research he also cooperates with leading legal scientists and practitioners, for example legal publishers. More detailed information about this cooperation can be found on www.lexalyze.de and www.en.lexalyze.de.
From a technological point of view, Ingo is interested in applications of natural language processing within the legal domain. He is particularly interested in new developments of deep and transfer learning. From a theoretical view point, Ingo investigates in data structures and models to depict German legal verdicts.
Research Projects
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| 2021 | |
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| [Gl21f] | Glaser, I.; Moser, S.; Matthes, F.: Generation of Legal Norm Chains: Extracting the Most Relevant Norms from Court Rulings, Jurix: International Conference on Legal Knowledge and Information Systems, Vilnius, Lithuania, 2021 |
| [Gl21e] | Glaser, I.; Moser, S.; Matthes, F.: Summarization of German Court Rulings, NLLP@EMNLP21: Workshop on Natural Legal Language Processing at Conference on Empirical Methods in Natural Language Processing, Punta Cana, Dominican Republic, 2021 |
| [Gl21d] | Glaser, I.; Moser, S.; Matthes, F.: Improving Legal Information Retrieval: Metadata Extraction and Segmentation of German Court Rulings, KDIR: International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management, Virtual, 2021 |
| [Gl21c] | Glaser, I.; Schamberger, T.; Matthes, F.: Anonymization of German Legal Court Rulings, ICAIL: International Conference on Artificial Intelligence and Law, Virtual, 2021 |
| [Gl21b] | Glaser, I.; Moser, S.; Matthes, F.: Sentence Boundary Detection in German Legal Documents, ICAART: International Conference on Agents and Artificial Intelligence, Virtual, 2021 |
| [Gl21a] | Glaser, I.; Sadegharmaki, S.; Komboz, B.; Matthes, F.: Data Scarcity: Methods to Improve the Quality of Text Classification, ICPRAM: International Conference on Pattern Recognition Applications and Methods, Virtual, 2021 |
| 2020 | |
| [Gl20c] | Glaser, I.; Matthes, F.: Classification of German Court Rulings: Detecting the Area of Law, ASAIL: Automated Semantic Analysis of Information in Legal Text, Virtual, 2020 |
| [Gl20b] | Glaser, I.; Huynh T.; Klymenko O.; Matthes, F.: Die Essenz der „Legal Document Automation Tool Survey 2020“. REthinking: Law - Volume 6: 2020, pages 80-84 |
| [Gl20a] | Glaser, I.; Huynh T.; Klymenko O.; Labrenz B.; Matthes, F.: Legal Document Automation Tool Survey 2020, Technische Universität München, Munich, Germany, 2020 |
| 2019 | |
| [Gl19b] | Glaser, I.; Bonczek, G.; Landthaler, J.; Matthes, F.: Towards Computer-aided Analysis of Readability and Comprehensibility of Patient Information in the Context of Clinical Research Projects, ICAIL: International Conference on Artificial Intelligence and Law, Montreal, Canada, 2019 |
| [La19a] | Landthaler, J.; Glaser, I; Lecker, H.; Matthes,F.: User study on selection search and semantic text matching in tenancy law, in: Weblaw, Jusletter IT 21. Februar 2019 |
| [Gl19a] | Glaser, I; Landthaler, J.; Matthes,F.: Supporting the Legal Reasoning Process by Classification of Judgments Applying Active Machine Learning, IRIS: Internationales Rechtsinformatik Symposium, Salzburg, Austria, 2019 |
| [La19a] | Landthaler, J.; Glaser, I; Lecker, H.; Matthes,F.: User Study on Selection Search and Semantic Text Matching in Tenancy Law, IRIS: Internationales Rechtsinformatik Symposium, Salzburg, Austria, 2019 |
| 2018 | |
| [El18b] | Elnaggar, A.; Waltl, B.; Glaser, I.; Landthaler, J.; Scepankova, E.; Matthes, F.: Stop Illegal Comments: A Multi-Task Deep Learning Approach, Artificial Intelligence and Cloud Computing Conference, Tokyo, Japan, 2018 (best paper award) |
| [El18a] | Elnaggar, A.; Gebendorfer, C.; Glaser, I.; Matthes, F.: Multi-Task Deep Learning for Legal Document Translation, Summarization and Multi-Label Classification, Artificial Intelligence and Cloud Computing Conference, Tokyo, Japan, 2018 |
| [Gl18b] | Glaser, I.; Scepankova, E.; Matthes, F.: Classifying Semantic Types of Legal Sentences: Portability of Machine Learning Models, Jurix: International Conference on Legal Knowledge and Information Systems, Groningen, Netherlands, 2018 |
| [La18c] | Landthaler, J.; Glaser, I.; Matthes, F.: Explainable Semantic Text Matching, Jurix: International Conference on Legal Knowledge and Information Systems, Groningen, Netherlands |
| [Gl18a] | Glaser, I.; Waltl, B.; Matthes, F.: Named Entity Recognition, Extraction, and Linking in German Legal Contracts, IRIS: Internationales Rechtsinformatik Symposium, Salzburg, Austria, 2018 (nominated for LexisNexis best paper award) |
| [La18a] | Landthaler, J.; Scepankova, E.; Glaser, I; Lecker, H.; Matthes, F.: Semantic Text matching of contract clauses and legal comments in tenancy law, IRIS: Internationales Rechtsinformatik Symposium, Salzburg, Austria, 2018 |
| 2017 | |
| [Wa17e] | Waltl, B.; Muhr, J.; Glaser, I.; Bonczek, G.; Scepankova, E.; Matthes, F.: Classifying Legal Norms with Active Machine Learning, Jurix: International Conference on Legal Knowledge and Information Systems, Luxembourg, Luxembourg, 2017 |
| [Gl17a] | Glaser, I.: Semantic Analysis and Structuring of German Legal Documents using Named Entity Recognition and Disambiguation
Master's Thesis: Technische Universität München, Munich, Germany, 2017. |
| Term | Level | Title | Type | Role |
|---|---|---|---|---|
| SS 21 |
Master |
Software Engineering for Business Applications - Master Course | Lecture & Projects | Advisor |
| WS 20 / 21 |
Master |
Master Lab Course Web Applications | Lab Course | Advisor |
| WS 20 / 21 |
Bachelor & Master |
Lecture | Advisor | |
| SS 20 |
Master |
Software Engineering for Business Applications - Master Course | Lecture & Projects | Organizer/Advisor |
| SS 20 |
Master |
LegalTech - Synergien zwischen Rechtstheorie und Software Engineering | Seminar | Organizer |
| WS 19 / 20 |
Master |
Master Lab Course Web Applications | Lab Course | Advisor |
| WS 19 / 20 |
Bachelor & Master |
Seminar | Organizer | |
| SS 19 |
Master |
Lecture & Projects | Organizer/Advisor | |
| SS 19 |
Master |
Seminar | Organizer | |
| WS 18 / 19 |
Master |
Seminar | Organizer | |
| WS 18 / 19 |
Master |
Lab Course | Advisor | |
| WS 18 / 19 |
Bachelor & Master |
Lecture | Advisor | |
| SS 18 |
Master |
Lecture & Projects | Advisor/Organizer | |
| SS 18 |
Bachelor & Master |
Seminar | Organizer | |
| WS 17 / 18 |
Bachelor & Master |
Lecture | Advisor | |
| WS 17 / 18 |
Master |
Lab Course | Advisor |
