Completed Theses

This page lists M.Sc./B.Sc. theses that have been supervised by the LT group. Theses are made available online with individual student's consent.

2025

• 01/2025 Lennart Joshua Moritz. Towards Cross-modal Media Retrieval for Discourse Analysis, M.Sc Thesis, Universität Hamburg
• 01/2025 Hina Samreen. Sentiment Analysis for German Language Texts: Data Collection, Model Development, Interpretability, and Evaluation. M.Sc. Thesis, Universität Hamburg

2024

• 01/2025 Ahmad Shallouf. Comparative Understanding and Generation Evaluation (CompUGE) A Benchmark for Comparative Question Answering. M.Sc. Thesis, Universität Hamburg
• 12/2024 Levente Schoenherr. GerLUE: The German Language Understanding Evaluation Benchmark for Large Language Models, M.Sc . Thesis, Universität Hamburg
• 11/2024 Neil Hinrichs. Combined Generation of Images and Texts for Image Macro Memes. B.Sc. Thesis, Universität Hamburg
• 10/2024 Lennard Danielsen. Empowering KGQA Systems through Automated Corpus Generation: From Graph Traversal to SPARQL Queries. M.Sc. Thesis, Universität Hamburg
• 09/2024 Lars Lamberti. Evaluating Dimension Based Configurable Similarity Search. B.Sc. Thesis, Universität Hamburg
• 08/2024 Daniel Djahangir. Retrieval Augmented Generation of Character Profiles. M.Sc. Thesis, Universität Hamburg
• 07/2024 Robert Geislinger. Enhancing Sentiment Analysis: Model Comparison, Domain Adaptation, and Lexicon Evolution in German Data. M.Sc. Thesis, Universität Hamburg
• 07/2024 Angel Ontiveros. Development and Evaluation of an IT Tool for ESG Compliance Consulting for Companies Using LLMs. M.Sc. Thesis, Universität Hamburg
• 07/2024 Christian Schuler: Leveraging Morphological and Lexical Features in Synthetic Data Generation for Dialect-Specific Machine Translation. M.Sc. Thesis., Universität Hamburg (with Sina Ahmadi)
• 06/2024 Jan Strich. Improving Large Language Models in Repository Level Programming through Self-Alignment and Retrieval-Augmented Generation. M.Sc. Thesis, Universität Hamburg
• 05/2024 Lorenz Helle. Relevant Conversations: Increasing Search Relevance with an LLM-based Conversational Search Assistant. M.Sc. Thesis, Universität Hamburg (with OTTO GmbH and Co. KG)
• 04/2024 Muhammad Hashaam Ahsan. Evelink-H: Grounding Event Mentions to Wikipedia on Harder Problems. M.Sc. Thesis, Universität Hamburg (with SEMS group)
• 03/2024 Moritz Lahann. Chapter Segmentation in German Literary Texts. M. Sc. Thesis, Universität Hamburg
• 03/2024 Kevin Kraus. Fine-Tuning Small Large Language Models für Patient Trial Matching in Precision Medicine. M. Sc. Thesis, Universität Hamburg

2023

• 10/2023 Michael Marek Steinke. Szenensegmentierung in literarischen Texten. M.Sc. Thesis, Universität Hamburg
• 07/2023 Jannis Meißner. Few-Shot Learning Methods for Semi-Automated Annotations of Large Text Corpora. M.Sc. Thesis, Universität Hamburg
• 06/2023 Jan Mägdefrau. Evaluating Rule-Based and Neural Merging Strategies of Entity Clusters for Coreference Resolution. B.Sc. Thesis, Universität Hamburg
• 05/2023 Amin Kasipour. On the Potential of CLIP for Multi-Modal Image Retrieval and Object Detection. M.Sc. Thesis, Universität Hamburg
• 04/2023 Fabian Meyer. On the Potential and Limits of Zero-Shot Out-of-Distribution Detection. M.Sc. Thesis, Universität Hamburg, in collaboration with inovex GmbH
• 02/2023 Sushil Awale. A Question Answering Dataset over the DBLP Scholarly Knowledge Graph. M.Sc. Thesis, Universität Hamburg

2022

• 11/2022 Theresa Lübeck. Clustering of BERT-based Subject-Verb-Object Embeddings. B.Sc. Thesis, Universität Hamburg
• 10/2022, Skadi Jule Dinter. Multilingual Racial Hate Speech Detection: Annotation and Experimentation. M.Sc. Thesis, Universität Hamburg
• 08/2022 Mengyi Li. Knowledge-infused Approaches to Abstractive Text Summarization. M.Sc. Thesis, Universität Hamburg
• 07/2022 Jan Stenzel. Zero-Shot Entity Disambiguation by Clustering Unambiguous Contextualized Mentions. M.Sc. Thesis, Universität Hamburg
• 07/2022 Anton Wiehe. Domain Adaptation for Multi-Modal Foundation Models. M.Sc. Thesis, Universität Hamburg
• 06/2022 Fabian Rausch. Transformer-encoder-based financial entity and value extraction with distant supervision. M.Sc. Thesis, Universität Hamburg
• 06/2022 Matthew Ng Cher-Wai. Multi-modal Fictional Backstory Generation using Transformer-Aspect-backstory Generator (TABgen). M.Sc. Thesis, Universität Hamburg
• 06/2022 Mikhail Raudin. Einfluss von Linguistischen Merkmalen auf das Re-Ranking von Antworten eines vergleichenden QA-Systems. B.Sc. Thesis, Universität Hamburg.
• 04/2022 Frederik Wille. Unsupervised Entity Disambiguation Using Pretrained Contextualized Word Embeddings. M.Sc. Thesis, Universität Hamburg.
• 04/2022 Rohan Chaudhari. Using Parts-of-Speech Tagging to Investigate Sense-change Detection with Word2Vec Trained on the Google 5-grams Corpus. M.Sc. Thesis, Universität Hamburg.
• 03/2022 Ankit Srivastava. Complex Word Identification for Language Learners. M.Sc. Thesis, Universität Hamburg
• 02/2022 Kavish Bhatia. Hate Speech Detection in Mixed Languages a Case Study for Hinglish. M.Sc. Thesis, Universität Hamburg.
• 01/2022 Christian Schuler. Perceptual Quality Assessment of Lip-Synchrony in Dubbing. B.Sc. Thesis, Universität Hamburg

2021

• 11/2021 Lennard Ricken. Eine Evaluation von interactive Machine Learning im Bereich der Multi Label Text Classification Am Beispiel der ECE Group. B.Sc. Thesis, Universität Hamburg.
• 09/2021 Robert Geislinger. Implementation und Evaluation automatischer Mehrkanal-Spracherkennung für das Konferenzsystem BigBlueButton. B.Sc. Thesis, Universität Hamburg.
• 08/2021 Angelie Kraft. Triggering Models: Measuring and Mitigating Bias in German Language Generation. M.Sc. Thesis, Universität Hamburg, in collaboration with inovex GmbH
• 07/2021 Florian Schneider. Self-Supervised Multi-Modal Text-Image Retrieval Methods to Improve Human Reading. M.Sc. Thesis, U Hamburg
• 06/2021 Tim Fischer. Finding Factual Inconsistencies in Abstractive Summaries. M.Sc. Thesis, U Hamburg
• 06/2021 Soniya Vijayakumar:  Fake News Detection with Journalists-in-the-Loop. M.Sc. Thesis, U Hamburg
• 06/2021 Gopalakrishnan Venkatesh: Enriching Word Representations Using Distributional Thesaurus. M.Sc. Thesis, IIT Bangalore, India (as co-supervisor)
• 05/2021 Korbinian Koch. Predicting Speaker Quality Using Embeddings.  B.Sc. Thesis, U Hamburg
• 01/2021 Lennart Rönneburg: Analyse eines juristischen Entscheidungscorpus mit Methoden der Netzwerkforschung und Sprachtechnologie. B.Sc. Thesis, U Hamburg (with Dirk Hartung, Bucerius Law School)

2020

• 12/2020 Timo Johner: Fine-Tuning Pre-Trained Language Models for German Multi-Document Summarization. M.Sc. Thesis, U Hamburg
• 09/2020 Wenxin Liu: Crowdsourcing Categorization of Profession Descriptions for Machine Learning. M.Sc. Thesis, U Hamburg
• 09/2020 Steffen Stahlhacke: Study and Creation of Datasets for Comparative Questions Classification. M.Sc. Thesis, U Hamburg
• 08/2020 Mattes Ruckdeschel: Term-based and Embedding-based Similarity Search in Large Unknown Text Datasets, M.Sc. Thesis, TU Hamburg (with A. Timm-Giel)
• 07/2020 Max Wiechmann: ActiveAnno: Flexible and Effcient Document Annotation Tool with Active Learning Integration. M.Sc. Thesis, U Hamburg
• 05/2020 Janik Schröder: Entwicklung eines Browser-Plugins zur nutzerseitigen Filtration von Hate Speech in sozialen Netzwerken. B.Sc. Thesis, U Hamburg
• 04/2020 Phillip Sittig: Extending new/s/leak with a Semantic Similarity Search for Open Government Data. B.Sc. Thesis, U Hamburg
• 02/2020 Hans Ole Hatzel: Using Neural Language Models to Detect Spoilers. M.Sc. Thesis, U Hamburg
• 01/2020 Valentin Strauß: Using data augmentation to improve speech recognition for low resourced languages - Amharic.  M.Sc. Thesis, U Hamburg

2019

• 12/2019 Elias Fischer: Semi-Supervised Clustering von Document Embeddings zur Approximation einer Klassifikation. B.Sc. Thesis, U Hamburg
  12/2019 Kai Martinen: Knowledge Augmented Aspect Category Detection for Aspect-based Sentiment Analysis. M.Sc. Thesis, U Hamburg
• 12/2019 Tjorben Gschwander: Evaluierung neuronaler Architekturen zur Klassifizierung des Operanten Motivtests.  B.Sc. Thesis, Universität Hamburg
• 10/2019 Felix Fröhlich: Inkrementelles Lernen mit Ensembles aus neuronalen Netzen für variierende Datensätze in diskreten Zeitschritten. M.Sc. Thesis, Universität Hamburg
• 10/2019 Fynn Schröder: Estimating the influence of auxiliary training data for learning natural language processing tasks.  M..Sc. Thesis, Universität Hamburg
• 10/2019 Michael Eisele: Unsupervised Multi-Document Summarization. M.Sc. Thesis, Universität Hamburg, in collaboration with inovex GmbH
• 10/2019 Omar Gerhard Hensel: Entwicklung von Handlungsempfehlungen zur Einführung intelligenter Mensch-Maschine-Kollaborationen anhand der prototypischen Implementierung eines KI-Assistenzsystems. M.Sc. Thesis, Universität Hamburg (first supervisor: Tilo Böhmann, as a secondary supervisor)
• 10/2019 Malte Johannsen: Semi-Automatische Erweiterung eines Synonymwörterbuchs zur Query Expansion für das Hamburger Transparenzportal. B.Sc. Thesis, Universität Hamburg
• 09/2019 Fabian Meyer: Classification of the Answers of the OMT. B.Sc. Thesis, Universität Hamburg
• 09/2019 Katrin Caragiuli: Language processing techniques for searching on Transparenzportal Hamburg. B.Sc. Thesis, Universität Hamburg
• 07/2019 Hauke Heller: Comparative Query Suggestion. B.Sc. Thesis, Universität Hamburg
• 04/2019 Tim Dobert: Sentiment Analysis of Informal Online Texts with Neural Networks. M.Sc. Thesis, Universität Hamburg
• 01/2019 Fin Töter: Reviewanalysis With Machine Learning. B.Sc. Thesis, Universität Hamburg (in collaboration with Otto GmbH)
• 01/2019 Thomas Beznoskov: Klassifikation von Produkttypen mit Hilfe von Machine Learning Methoden zur Automatisierung der Navigationspfade in einem Online-Shop. B.Sc. Thesis, HAW (first supervisor: Ulrike Steffens, as a secondary supervisor, in cooperation with Otto.de)
• 01/2019 Franziska Kissel: Game with a purpose - Collecting a part-of-speech tagging dataset with a 2D game. B.Sc. Thesis, Universität Hamburg

2018

• 12/2018 Matthias Schildwächter: An Open-Domain System for Retrieval and Visualization of Comparative Arguments from Text. M.Sc. thesis, Universität Hamburg
• 12/2018  Wajid Ghafoor: Automatic pronounciation quality feedback for non-native speakers. B.Sc. thesis, Universität Hamburg
• 12/2018  Bobby Wu: Finding vowel boundaries in English with Recurrent Neural Networks. B.Sc. thesis, Universität Hamburg
• 12/2018 Fabian Karl:  Communication with Human Motivation: How solving the Image Captioning-Retrieval problem creates conversations. M.Sc. thesis, Universität Hamburg
• 12/2018 Alvin Rindra Fazrie: Visual Information Management with Compound Graphs. M.Sc. thesis, Universität Hamburg
• 11/2018 Ibrahim Damash: Reading Comprehension using Dynamic Memory Networks. M.Sc. thesis, Universität Hamburg
• 11/2018 Max Friedrich: Data Protection Compliant Exchange of Training Data for Automatic De-Identification of Medical Text. M.Sc. thesis, Universität Hamburg
• 10/2018 Tim Fischer: Expert Retrieval using weighted query-based Expertise Graphs on Citation Networks. B.Sc. thesis, Universität Hamburg
• 10/2018 Rami Aly: Hierarchical writing genre classification with neural networks. B.Sc. thesis, Universität Hamburg
• 10/2018 Kai Brusch: Variational Inference for Scalable Probabilistic Topic Modelling. M.Sc. thesis, Universität Hamburg
• 09/2018 Konstantinos Tsiamis: Wenn dies deine Idee ist, wird dich auch jene interessieren - Innovationsboost für Ideenplattformen durch automatisiertes Matching. B.Sc. thesis, Universität Hamburg (co-supervision with Eva Bittner)
• 08/2018 Ethem Can Karaoguz, Adaptive Learning Strategies for Neural Paraphrase Generation. M.Sc. Thesis, Universität Hamburg
• 08/2018 Moritz Kreinsen: Analyse von Ticketsystemen mithilfe textverarbeitender Algorithmen. B.Sc. Thesis, Universität Hamburg (co-supervision with Lothar Hotz from HITeC)
• 05/2018: Savvas Yiannopoulos: If this is your idea, then you will be interested in that one too. B.Sc. thesis, Universität Hamburg (co-supervision with Eva Bittner)
• 05/2018 Mirco Franzek: Comparative Argument Mining. M.Sc. Thesis, Universität Hamburg
• 04/2018 Joël Harms: Evaluation of Argumentation Schemas for the Identification of Software-Architecture Knowledge in Developer Communities. B.Sc. Thesis, Universität Hamburg
• 03/2018 Yasin Altuntas: Konzeptionierung und Umsetzung eines Chatbots im Kollaborationsumfeld am Beispiel der Lufthansa, BA thesis, Universität Hamburg (secondary supervision, with Eva Bittner and Lufthansa)

2017

• 12/2017 Mario Mohr: Asking for help: Grapheme-to-Phoneme Conversion using Active Learning at Application Time. B.Sc. Thesis, Universität Hamburg.
• 08/2017 Louisa Spahl: Kommunikationsunterstützende mobile Anwendung mit integrierter Satzverbesserung sowie Sprachausgabe für Kinder. B.Sc. Thesis, HAW (first supervisor: Ulrike Steffens, as a secondary supervisor)
• 08/2017: Ahmed Elsafty: Document Similarity using Dense Vector Representation. M.Sc. Thesis, U Hamburg, in collaboration with XING AG
• 06/2017: Fide Marten: Predicting hypernyms in contexts with JoBimText. M.Sc. Thesis, TU Darmstadt
• 03/2017: Kai Steinert: Collaborative Web-Based Short Text Annotation with Online Label Suggestion. M.Sc. Thesis, TU Darmstadt
• 01/2017: Manuel Kaufmann: Storyfinder: Graphen zur Verbesserung des Textverstandnisses auf Webseiten. M.Sc. Thesis, TU Darmstadt

2016

• 08/2016: Uli Fahrer: Unsupervised Extraction and Prediction of Narrative Chains. M.Sc. Thesis, TU Darmstadt
• 08/2016: Peter Klöckner: Learning to Identify Antonymy. M.Sc. Thesis, TU Darmstadt
• 08/2016: Maria Pelevina: Contextualization based on Word Sense Embeddings. M.Sc. Thesis, TU Darmstadt
• 07/2016: Simon Dif: Statistical Models of Semantics with Structured Topics. M.Sc. Thesis, A dual degree Masters program with ENSIMAG, Grenoble, France and  TU Darmstadt
• 04/2016: Stefan Glotzbach: Predicting related content on websites using machine learning, B.Sc. Thesis, TU Darmstadt
• 04/2016: Amit Kumar: Multiobjective Optimization for Aspect based Sentiment Analysis, M.Sc. Thesis, DAAD IIT-TU9 Master Sandwich Program, TU Darmstadt / IIT Patna
• 03/2016: Jonas Wacker, Ambient Search - just-in-time document recommendations for conversations, B.Sc. Thesis, TU Darmstadt

2015

• 09/2015: Dominik Sobania, A Focused Web Crawler Driven by Self-Optimizing Classifiers, M.Sc. Thesis, TU Darmstadt
• 09/2015: Dennis Werner: Collecting domain-specific image/text corpora with focused web crawling, B.Sc. Thesis, TU Darmstadt
• 06/2015: Darina Benikova: SemRelData:Multilingual Contextual Annotation and Analysis of Semantic Relations between Nominals. MA Thesis, in collaboration with Sabine Bartsch (FB2), TU Darmstadt
• 05/2015: Johannes Simon: Word Sense Induction Using Distributional Semantics. M.Sc. Thesis, TU Darmstadt
• 04/2015: Ambarish Jadhav: Evolutionary Optimization and Unsupervised Lexical Acquisition for Bio-Text Mining. M.Sc. thesis, DAAD IIT-TU9 Master Sandwich Program, TU Darmstadt / IIT Patna
• 04/2015: Qi Shao: Twitter Sentiment Analysis using Distributional Semantics, B.Sc. Thesis, TU Darmstadt
• 01/2015: Yemisrach Getinet: Unsupervised Part-of-Speech Tagging for Amharic, M.Sc. Thesis, University of Gondar, Ethiopia (Co-advisory role)

2014

• 11/2014: Kristijan Madunic: Putting back the F in FAQ, M.Sc. Thesis, in collaboration with Studiendekanat FB Informatik, TU Darmstadt
• 09/2014: Tim Feuerbach: Improving a coreference resolution system using distributional semantics, B.Sc. Thesis, TU Darmstadt
• 09/2014: Priska Herger (TU Berlin), Learning semantic relations with distributional similarity, M.Sc. thesis, in collaboration with Alan Akbik (TU Berlin)
• 08/2014: Gerold Hintz, Lojban as a middle ground between natural language and semantic ontology, M.Sc. thesis, TU Darmstadt
• 05/2014: Uli Fahrer, Analysis of the German Parliament Elections 2013 with Twitter, B.Sc. Thesis, TU Darmstadt
• 05/2014: Govind, Multiobjective Optimization and Unsupervised Lexical Acquisition for Information Extraction, M.Sc. thesis, DAAD IIT-TU9 Master Sandwich Program, TU Darmstadt / IIT Patna
• 05/2014: Anne-Christine Karpf: Web Genre Classification for Context-Specific Security Warnings, (first supervisor Melanie Volkamer, SECUSO group, as a secondary supervisor), TU Darmstadt
• 04/2014: Benjamin Milde: Unsupervised acquisition of acoustic models for speech-to-text alignment, M.Sc. Thesis, in collaboration with Dirk Schnelle-Walka, TK group, TU Darmstadt

2013

• 09/2013: Irina Alles, M.Sc. Thesis, TU Darmstadt / INRIA, Montpellier: Clustering time series in agronomy (with Florent Masseglia, INRIA Montpellier)
• 09/2013: Artjom Kochtchi, M.Sc. Thesis, TU Darmstadt: Networks of Names: Obtaining Lombardi's Narrative Structures by Combining Visual Analytics and Language Technology (with Tatiana von Landesberger, GRIS) (Companion Website with Thesis PDF), TU Darmstadt
• 09/2013: Richard Steuer, M.Sc. Thesis, TU Darmstadt: Using Contextualized Lexical Expansion for Information Retrieval
• 09/2013: Tobias Krönke, M.Sc. Thesis, TU Darmstadt: Job Ad Parsing for Applicant Qualification Prediction
• 07/2013: Leonard Swiezinski, B.Sc. Thesis, TU Darmstadt: Unsupervised morphological analysis of Mongolic languages
• 01/2013: David Kaufmann, B.Sc. Thesis, TU Darmstadt: Finding entities and relations in sports news using distant supervision

2012

• 10/2012: Steffen Remus, M.Sc. Thesis, TU Darmstadt: Automatically identifying lexical chains by means of statistical methods – a knowledge-free approach (Companion Website with Thesis PDF)
• 04/2012: Natali Karlova, M.Sc. Thesis, TU Darmstadt: Assessing Thematic Similarity between Original Text and its Translation using LDA Topic Model (first supervisor Sabine Bartsch, FB 2, as a secondary supervisor)