Prof. Dr. Margot Mieskes

Since January 2024 Vice President of the German Society for Computational Linguistics and Language Technology (GSCL)

ACL 2024 co-organizer of the "Sixth Workshop on Teaching NLP" together with Leonie Weissweiler (LMU Munich), Ana Marasovic (University of Utah), Leena Mathur (Carnegie Mellon University), György Kovacs (Lulea University of Technology), Sana al-Azzawi (Lulea University of Technology) and Laura Biester (Middlebury College)

ACL 2024 Student Volunteer Chair

LREC-COLING 2024 Ethics Co-Chair

Panelist at the opening of the Interdisciplinary Institute for Societal Computing (I2SC) at the Saarland University in 2023

ACL 2023 Tutorial Co-Chair

Panelist at the Workshop on Insights from Negative Results, co-located with ACL 2022 on "How Bad are Annotation Disagreements Really"

Invited Talk at Austrian Institute of Technology in 2022 on "Ethics in Natural Language Processing"

At EMNLP 2022 I served as Ethics co-chair together with Lea Frermann (University of Melbourne)

At EACL 2021 I co-organized a Tutorial on Reviewing in NLP together with Karen Fort (LORIA), Aurelie Neveol (LIMSI), Kevin B. Cohen (University of Boulder Colorado) and Anna Rogers (University of Kopenhagen)

At EMNLP 2021 I served as Ethics co-chair together with Chris Potts (University of Stanford)

At NAACL 2021 I co-organized the "Fifth Workshop on Teaching NLP" together with David Jurgens (University of Michigan), Varada Kolhatkar (University of British Columbia), Lucy Li (University of California, Berkely) and Ted Pedersen (University of Minnesota, Duluth)

At NAACL 2020 I co-organized a Tutorial on Reviewing in NLP together with Karen Fort (LORIA), Aurelie Neveol (LIMSI) and Kevin B. Cohen (University of Colorado Boulder)

Since 2019 I am a member of the Professional Conduct Committee of the ACL

Invited Talk at the International Symposium on Language Technology for Individualized Language Learning and Assessment 2018 on "Summarization Evaluation meets Short-Answer Grading"

Invited Lecture at the International Summer School on "New Frontiers in Social Media Research" on "Reliability of Methods in NLP"

Keynote speaker at SwissText 2017 “Computer, Summarize Service Records”

Since 2015 I am a Professor for Information Science at the University of Applied Sciences, Darmstadt, where I teach compulsory courses, as well as electives in the area of Computational Linguistics (CL) and Natural Language Processing (NLP) while continuing with research in various areas of CL and NLP.

From 2013-2015  I worked as a Post-Doc at the Institut for Educational Research and Educational Information (DIPF) in Frankfurt, in cooperation with the Ubiquitous Knowledge Processing (UKP) Lab at the TU Darmstadt. Our focus was on applying NLP technlogy in the educational domain.

From 2008 until 2013 I worked in various companies in the context of applying NLP technology in the real world.

From 2004 until 2009 I did my PhD at EML Research (now Heidelberg Institut for Theoretical Studies -- HITS) under the supervision of Dr. Michael Strube and Prof. Günther Görz from the Friedrich Alexander University Erlangen-Nuremberg on the topic of Automatic Summarization of Multi-Party Dialogues.

From 1997 until 2004 I studied computational linguistics and computer science in Stuttgart (IMS), Edinburgh and Cambridge (CNBH).

Please find my most current list of publications here on Google Scholar or Orcid.

Notable recent publications:

• What Can Natural Language Processing Do for Peer Review? -- Report based on the Dagstuhl Workshop on Peer Reviewing in NLP

• Your Stereotypical Mileage May Vary: Practical Challenges of Evaluating Biases in Multiple Languages and Cultural Contexts -- First results from the multiCrowsPairs project, published at LREC-COLING 2024

• Autism Detection in Speech -- A Survey -- Starting point for Nadine Probols PhD Project on analysing natural language in the context of Autism, published at EACL 2024

• Investigating Bias in Multilingual Language Models: Cross-Lingual Transfer of Debiasing Techniques -- part of Manon Reuses PhD project in the context of detecting biases in Large Language Models, published at EMNLP 2023

• Emotions in Spoken Language - Do we need acoustics? -- main results from a student project on detecting emotions in spoken language, published at WASSA 2023, co-located with ACL 2023

I work in various areas of Computational Linguistics (CL) and Natural Language Procesing (NLP). Specifically, I am currently working in the following research areas:

• automatic summarization
• qualitative and quantiative evaluation of summarization
• data and annotation quality
• emotion detection
• ethical aspects of CL/NLP
• reproducibility of CL/NLP experiments
• biases in large language models

Current Projects

• Reviewing and Review Quality in the natural language processing domain based on a Dagstuhl Seminar held earlier this year
• Summarization of Literature -- started during my recent Sabbatical
• MultiCrowsPairs -- detecting biases in large language models for multiple languages
• ReproHum -- creating a framework for testing the reproducibility of human evaluations in NLP
• HumEval -- human evaluation research

Past Projects:

• AIPHES
• PARANOIA

If you are interested to work with/in NLP/CL in a research project or for your final thesis, feel free to get in touch.

Wenn Sie das Thema NLP/CL interessiert, bspw. für Ihr Praktikums-/Forschungsprojekt oder die Abschlussarbeit kommen Sie gern auf mich zu.

The following is a list of publications based on student projects or in collaboration with students:

• h_da@ReproHumn – Reproduction of Human Evaluation and Technical Pipeline published at HumEval 2023; in collaboration with MSc students

• Emotions in Spoken Language - Do we need acoustics? summary of several projects over several semester, including a research project and a master thesis, published at WASSA 2023, co-located with ACL 2023

• A Data Set for the Analysis of Text Quality Dimensions in Summarization Evaluation final BSc thesis project in collaboration with TU Darmstadt published at LREC 2020

• 2019 GermEval Shared Task on Offensive Tweet Detection h_da submission publication of the participation of a student group in the GermEval Shared Task, co-located with Konvens 2019

• Bitcoin value and sentiment expressed in tweets. MSc final thesis project, published at SwissText 2019

• Emotionality in Patients and Therapists speaking German. Research project in collaboration with an international student, published at Widening NLP 2019, co-located with NAACL 2019 (unarchived)

• Preparing Data from Psychotherapy for Natural Language Processing Research project, published at LREC 2018

• Using Argumentative Structure to Grade Persuasive Essays Final BSc Thesis project, published at GSCL 2017 (now Konvens)

• h-da Participation at Germeval Subtask B: Document-level Polarity Student project participation in the GermEval Shared task, co-located with GSCL 2017 (now Konvens)

• A Reinforcement Learning Approach for Adaptive Single- and Multi-Document Summarization Final MSc Thesis project, in collaboration with TU Darmstadt, published at GSCL 2015 (now Konvens)

• Document-level school lesson quality classification based on German transcripts Research project in collaboration with TU Darmstadt and DIPF, published in the Journal for Language Technology and Computational Linguistics 30(1), 2015