Benjamin Hättasch

Foto Benjamin Hättasch

Benjamin Hättasch M.Sc.

Doctoral Researcher

+49 6151 16-25603
+49 6151 16-25602

Hochschulstr. 10
64289 Darmstadt

Office: S2|02 D110


Research Interests

  • Automated Summarization
  • Information and Knowledge Extraction from Text
  • Ethical Aspects of AI and Machine Learning
  • Natural Language Interfaces for Databases

Student (Co-)Supervision

I supervise or have supervised the following students or interns:

  • Samar Syed (2021): DOC2DB: Turning Text into Relational Data Structures Automatically (master thesis)
  • Sebastian Bremser (2021): Towards Cluster-based sampling for Interactive Multi-Document Summarization using Transformers (bachelor thesis)
  • Jan-Micha Bodensohn (2020): Interactive Structured Data Extraction from Document Collections (bachelor thesis)
  • Arslan Yasin (2019/20): Between the lines of ArXiv (master thesis)
  • Nadja Geisler (2018/19): Enhancing Natural Language Interfaces to Databases (master thesis)
  • Ajay Sheoran (2019): research intern
  • Orkan Özyurt (2018): Interactive Text Summarization for Large Corpora (master thesis)

Biographical Information

I started working for the Data Management Lab as a PhD student in January 2018 and was part of the research training group AIPHES from July 2018 to June 2021. Since July 2021, I am additionally affiliated with the National High Performance Computing Center for Computational Engineering Sciences (NHR4CES).

I obtained a Bachelor of Science in Computer Science in 2014 and a Master of Science in Computer Science as well as a Master of Science in Internet- and Web-Based Systems in 2017 all from Technical University of Darmstadt.

Between 04/2014 and 09/2017 I worked as student assistant for the Fraunhofer Institute for Computer Graphics (IGD). Additionally, I was student assistant for several different courses at Technical University of Darmstadt between 10/2012 and 12/2017.

During my studies I was a member of the student council and part of different commissions and groups as well as responsible for organizing the welcome week for first year students for five times.

Personal Information

You expect me to put private information about me on my professional homepage? Well -- since you could find all that information by using your favorite search engine anyways -- here we go:

I enjoy dancing, traveling, taking pictures, am interested in railway systems and am chairman of the friends' association of the conference of German-speaking student councils in computer science (KIF e.V.). I am part of the organization committee for the Conference of Aspiring Students in Tech Rhein-Main as well as the organization team of Antenne Bergstraße, a non-commercial radio station.


  • MRMCD 2018: Kreative KI – wenn der Computer das Setup hackt. How machine learning systems exploit bugs and bad reward functions [Recording, German, targeted at a broad audience]
  • MRMCD 2019: Cheating AI – Wenn Menschen die KI hacken. How humans trick AI systems. [Recording, German, targeted at a broad audience]
  • 36c3: Der Deep Learning Hype – Wie lange kann es so weitergehen? [More Information, Recording, German, English and French translation available]


Exportieren als [feed] Atom [feed] RSS 1.0 [feed] RSS 2.0
Gruppiere nach: Publikationsjahr | Typ des Eintrags | Keine Gruppierung
Springe zu: 2020 | 2019 | 2018 | 2017
Anzahl der Einträge: 11.


Hättasch, Benjamin ; Truong-Ngoc, Michael ; Schmidt, Andreas ; Binnig, Carsten (2020):
It’s AI Match: A Two-Step Approach for Schema Matching Using Embeddings.
2nd International Workshop on Applied AI for Database Systems and Applications, virtual Conference, 31.08.2020, [Konferenzveröffentlichung]

Weir, Nathaniel ; Utama, Prasetya ; Galakatos, Alex ; Crotty, Andrew ; Ilkhechi, Amir ; Ramaswamy, Shekar ; Bhushan, Rohin ; Geisler, Nadja ; Hättasch, Benjamin ; Eger, Steffen ; Cetintemel, Ugur ; Binnig, Carsten
Maier, David ; Pottinger, Rachel ; Doan, AnHai ; Tan, Wang-Chiew ; Alawini, Abdussalam ; Ngo, Hung Q. (Hrsg.) (2020):
DBPal: A Fully Pluggable NL2SQL Training Pipeline.
In: SIGMOD'20: Proceedings of the 2020 ACM SIGMOD International Conference on Management of Data, S. 2347-2361,
ACM, SIGMOD/PODS '20: International Conference on Management of Data, virtual Conference, 14.-19.06.2020, ISBN 978-1-4503-6735-6,
DOI: 10.1145/3318464.3380589,

Hättasch, Benjamin ; Geisler, Nadja ; Meyer, Christian M. ; Binnig, Carsten (2020):
Summarization Beyond News: The Automatically Acquired Fandom Corpora.
In: Proceedings of The 12th Language Resources and Evaluation Conference, S. 6700-6708,
European Language Resources Association, ISBN 979-10-95546-34-4,

Hilprecht, Benjamin ; Binnig, Carsten ; Bang, Tiemo ; El-Hindi, Muhammad ; Hättasch, Benjamin ; Khanna, Aditya ; Rehrmann, Robin ; Röhm, Uwe ; Schmidt, Andreas ; Thostrup, Lasse ; Ziegler, Tobias (2020):
DBMS Fitting: Why should we learn what we already know?
CIDR 2020, 10th Conference on Innovative Data Systems Research, Amsterdam, January 12-15, 2020, [Konferenzveröffentlichung]


Weir, Nathaniel ; Crotty, Andrew ; Galakatos, Alex ; Ilkhechi, Amir ; Ramaswamy, Shekar ; Bhushan, Rohin ; Cetintemel, Ugur ; Utama, Prasetya ; Geisler, Nadja ; Hättasch, Benjamin ; Eger, Steffen ; Binnig, Carsten (2019):
DBPal: Weak Supervision for Learning a Natural Language Interface to Databases.
Los Angeles, California, USA, 1st International Workshop on Conversational Access to Data (CAST) in conj. with the 45th International Conference on Very Large Data Bases (VLDB), Los Angeles, California, USA, [Konferenzveröffentlichung]

Hättasch, Benjamin ; Meyer, Christian M. ; Binnig, Carsten (2019):
Interactive Summarization of Large Document Collections.
In: HILDA'19: Proceedings of the ..., S. 1-4,
Amsterdam, Niederlande, Workshop on Human-In-the-Loop Data Analytics, Amsterdam, 05.07.2019, ISBN 978-1-4503-6791-2,
DOI: 10.1145/3328519.3329129,


Hättasch, Benjamin
Alonso, Omar ; Silvello, Gianmaria (Hrsg.) (2018):
Towards Interactive Summarization of Large Document Collections.
S. 103, Bertinoro, Italy, CEUR Workshop Proceedings, First Biennial Conference on Design of Experimental Search & Information Retrieval Systems, Bertinoro, Italy, 28.-31.08.2018, [Konferenzveröffentlichung]

P. V. S., Avinesh ; Hättasch, Benjamin ; Özyurt, Orkan ; Binnig, Carsten ; Meyer, Christian M. (2018):
Sherlock: A System for Interactive Summarization of Large Text Collections.
11, In: Proceedings of the VLDB Endowment, S. 1902-1905,
The 44th International Conference on Very Large Data Bases (VLDB 2018), Rio De Janerio, Brazil, 27.08.2018--31.08.2018, DOI: 10.14778/3229863.3236220,

Utama, Prasetya ; Weir, Nathaniel ; Basik, Fuat ; Binnig, Carsten ; Cetintemel, Ugur ; Hättasch, Benjamin ; Ilkhechi, Amir ; Ramaswamy, Shekar ; Usta, Arif (2018):
An End-to-end Neural Natural Language Interface for Databases.
In: arXiv preprint arXiv:1804.00401, [Artikel]

Basik, Fuat ; Hättasch, Benjamin ; Ilkhechi, Amir ; Usta, Arif ; Ramaswamy, Shekar ; Utama, Prasetya ; Weir, Nathaniel ; Binnig, Carsten ; Cetintemel, Ugur (2018):
DBPal: A Learned NL-Interface for Databases.
In: SIGMOD '18, S. 1765-1768, New York, NY, USA, ACM, Proceedings of the 2018 International Conference on Management of Data, New York, NY, USA, ISBN 978-1-4503-4703-7,
DOI: 10.1145/3183713.3193562,


Hättasch, Benjamin (2017):
Automated Ontology Refinement Using Compression-Based Learning.
TU Darmstadt, [Masterarbeit]

Diese Liste wurde am Sat Dec 4 02:44:04 2021 CET generiert.

go to list