Abschlussarbeiten NLP

Theses @ NLP Group

The NLP Group is continuously looking for students who would like write their bachelor's or master's thesis in the area of natural language processing, possibly with connections to information retrieval and general artificial intelligence.


All thesis topics should be related to the main research directions of the NLP Group, which include computational argumentation, computational sociolinguistics, and computational explanation

Below, we provide a selection of currently available topics. Details of the topics are discussed and shaped jointly in the beginning of the thesis process. Other topics are possible, including own ideas from the student's side, if they go hand in hand with our research interests.

Working on the outlined and similar topics involves dealing with state-of-the-art technologies such as neural transformers, contrastive learning, multitask learning, and/or various others. Most topics target the development and empirical evaluation of NLP methods for specific tasks.


Candidates should have very good programming skills (preferably in Python) as well as some experience with machine learning and other AI methods (ideally with NLP). You should be enrolled in one of the computer science programs at Leibniz University Hannover.

In case you are interested in a specific topic, please send a mail to the advisor of that topic, including information about the prior knowledge and experience have:

  • What relevant courses did you take?
  • What experience with AI development and evaluation do you have?
  • What other relevant knowledge do you have?

In case you are unsure about the topic, but interested in writing your thesis with the NLP Group, please send a mail to the head of the group.

Past Theses (as of Winter 2022)

  • Evaluating Data-Driven Approaches to Improve Word Lists for Measuring Social Bias in Word Embeddings. Master's thesis, Vinay Kaundinya Ronur Prakash, UPB.
  • Audience Aware Counterargument Generation. Master's thesis. Mahammad Namazov, 2023, UPB.
  • Improving Learners’ Arguments by Detecting and Generating Missing Argument Components. Master's thesis, Nick Düsterhus, 2023, UPB.
  • Gender-inclusive Coreference Resolution using Pronoun Preference. Master's thesis, Jan-Luca Hansel, 2023, UPB.
  • Dialect-aware Social Bias Detection using Ensemble and Multi-Task Learning. Master's thesis, Sai Nikhil Menon, 2022, UPB.
  • Counter Argument Generation Using a Knowledge Graph. Master's thesis, Indranil Ghosh, 2022, UPB.
  • Domain-aware Text Professionalization using Sequence-to-Sequence Neural Networks. Bachelor's thesis, Juela Palushi, 2022, UPB.

Past Theses (Summer 2018 – Summer 2022)

  • Detection and Mitigation of Subjective Bias in Argumentative Text. Master's thesis, Sambit Mallick, 2022, UPB.
  • Cross-domain analysis of argument quality and its connection to offensive language. Bachelor's thesis, Patrick Bollmann, 2022, UPB.
  • Cross-domain Aspect-based Sentiment Analysis with Multimodal Sources.Master's thesis, Pavan Kumar Sheshanarayana, 2022, UPB.
  • Comparative Evaluation of Automatic Summarization Techniques for German Court Decision Documents. Master's thesis, Josua Köhler, 2022, UPB.
  • Computational Analysis of Cultural Differences in Learner Argumentation.Master's thesis, Garima Mudgal, 2022, UPB.
  • Propaganda Technique Detection Using Connotation Frames. Master's thesis, Vinaykumar Budanurmath, 2022, UPB.
  • Contrastive Argument Summarization using Supervised and Unsupervised Learning. Master's thesis, Jonas Rieskamp, 2022, UPB.
  • Mitigation of Gender Bias in Text using Unsupervised Controllable Rewriting.Master's thesis, Maja Brinkmann, 2021, UPB.
  • Assessing Stereotypical Social Biases in Text Sequences using Language. Master's thesis, Meher Vivek Dheram, 2021, UPB.
  • Modeling Context and Argumentativeness of Sentences in Argument Snippet Generation. Master's thesis, Harsh Shah, 2021, UPB.
  • Political Speaker Transfer: Learning to Generate Text in the Styles of Barack Obama and Donald Trump. Master's thesis, Jonas Bülling, 2021, UPB.
  • Quantifying Social Biases in News Articles with Word Embeddings. Bachelor's thesis, Maximilian Keiff, 2021, UPB.
  • Computational Text Professionalization using Neural Sequence-to-Sequence Models. Master's thesis, Avishek Mishra, 2021, UPB.
  • Assessing the Argument Quality of Persuasive Essays using Neural Text Generation. Master's thesis, Timon Gurcke, 2021, UPB.
  • Automatic Conclusion Generation using Neural Networks. Bachelor's thesis, Torben Zöllner, 2020, UPB.
  • Computational Analysis of Metaphors based on Word Embeddings. Bachelor's thesis,  Simon Krenzler, 2020, UPB. 
  • Semi-supervised Cleansing of Web-based Argument Corpora. Bachelor's thesis, Jonas Dorsch, 2020, BUW.
  • Countering Natural Language Arguments using Neural Sequence-to-Sequence Generation. Master's thesis, Arkajit Dhar, 2020, UPB.
  • Snippet Generation for Argument Search. Bachelor's thesis, Nick Düsterhus, 2019, UPB.
  • Argument Quality Assessment in Natural Language using Machine Learning — bachelor's thesis, Till Werner, 2019, UPB.
  • Stance Classification in Argument Search. Master's thesis, Philipp Heinisch, 2019, UPB.
  • Towards a Large-scale Causality Graph. Bachelor's thesis, Yan Scholten, 2019, UPB.

Past Theses (Summer 2009 – Winter 2017)

  • Cross-Domain Mining of Argumentation Strategies using Natural Language Processing. Master's thesis, 2017, BUW.
  • Mining Relevant Arguments at Web Scale. Master's thesis, 2017, BUW.
  • Identifying Controversial Topics in Large-Scale Social Media Data. Master's thesis, 2016, BUW.
  • Efficiency and Effectiveness of Multi-Stage Machine Learning Algorithms for Text Quality Assessment. Master's thesis, 2013, UPB.
  • An Expert System for the Automatic Construction of Information Extraction Pipelines. Master's thesis, 2012, UPB.
  • Efficiency and Effectiveness of Text Classification in Information Extraction Pipelines. Master's thesis, 2012, UPB.
  • Efficient Information Extraction for Creating Use Case Diagrams from Text. Master's thesis, 2012, UPB.
  • Heuristic Search for the Run-time Optimization of Information Extraction Pipelines. Master's thesis, 2012, UPB.
  • Aggregation and Visualization of Market Forecasts. Bachelor's thesis, 2011, UPB.
  • Branch Categorization based on Statistical Analysis of Information Retrieval Results. Bachelor's thesis 2011, UPB.
  • Evaluation of Cooperative Robot Motion Strategies in Simbad. Bachelor's thesis, 2009, UPB.

LUH: Leibniz University Hannover, UPB: Paderborn University, BUW: Bauhaus-Universität Weimar