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Ingo Glaser

Software Engineering for Business Information Systems
Chair of Informatics 19
Department of Informatics
Technische Universität München


Boltzmannstraße 3
D-85748 Garching bei München

E-Mail: ingo.glaser@tum.de
Phone: +49 89 289 - 17138
Room: 01.12.040

 

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We are looking for motivated students in the research areas text mining and natural language processing:


Interests for Bachelor Thesis, Master Thesis, and Guided Research are welcome. If you would like to propose a relevant topic, please contact me for an informal conversation. Once I have new open topics, they will be posted here.


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. Furthermore, Ingo is actively exploring the automation of legal decision making processes, including the formalization of law. 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. 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 named entity recognition and linking, as well as in semantic text matching. From a theoretical view point, Ingo investigates data structures and models to depict decision making processes, involving legal requirements.

Research Projects

 

Selected Invited Talks & Presentations

  1. Semantische Vertragsanalyse und automatische Dokumentenverknüpfung, September 21st, 2018, EDV Gerichtstag, Universität des Saarlands, Saarbrücken
  2. Preparing for Artificial Intelligence (Panel Discussion), November 22nd, 2018, European Start-up Conference by the International Bar Association, EUREF-Campus, Berlin

Publications (peer-reviewed, in reverse chronological order)

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.

 

Teaching (in reverse chronological order)

TermLevelTitleTypeRole
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

 

Advised Student Theses