Beck, Nils Peer (2021):
Transfer Learning for Conceptual Metaphor Generation. (Publisher's Version)
Darmstadt, Technische Universität Darmstadt, DOI: 10.26083/tuprints-00019359,
[Bachelor Thesis]

Beinborn, Lisa Marina (2016):
Predicting and Manipulating the Difficulty of Text-Completion Exercises for Language Learning.
Darmstadt, Technische Universität Darmstadt,
[Ph.D. Thesis]

Botschen, Teresa (2019):
Uni- and Multimodal and Structured Representations for Modeling Frame Semantics.
Darmstadt, Technische Universität,
[Ph.D. Thesis]

Buchmann, Jan ; Dycke, Nils ; Zyska, Dennis ; Gurevych, Iryna
Ubiquitous Knowledge Processing Lab, TU Darmstadt (ed.) (2023):
Digital Transformation of Science: AI-Assisted Collaborative Reading and Evaluation. (Publisher's Version)
Darmstadt, DOI: 10.26083/tuprints-00023118,
[Report]

Bär, Daniel (2013):
A Composite Model for Computing Similarity Between Texts.
Darmstadt, Technische Universität,
[Ph.D. Thesis]

Bär, Daniel ; Zesch, Torsten ; Gurevych, Iryna
UKP Lab, Technische Universität Darmstadt (ed.) (2015):
Composing Measures for Computing Text Similarity.
Darmstadt, Germany, [Report]

Daxenberger, Johannes (2016):
The Writing Process in Online Mass Collaboration: NLP-Supported Approaches to Analyzing Collaborative Revision and User Interaction.
Darmstadt, Technische Universität,
[Ph.D. Thesis]

Diallo, Aissatou (2022):
Preference-based Representation Learning for Collections. (Publisher's Version)
Darmstadt, Technische Universität Darmstadt,
DOI: 10.26083/tuprints-00021652,
[Ph.D. Thesis]

Eckart de Castilho, Richard (2014):
Natural Language Processing: Integration of Automatic and Manual Analysis.
Darmstadt, Technische Universität,
[Ph.D. Thesis]

Engels, Jens Ivo ; Frank, Sybille ; Gurevych, Iryna ; Heßler, Martina ; Knodt, Michèle ; Monstadt, Jochen ; Nordmann, Alfred ; Oetting, Andreas ; Rudolph-Cleff, Annette ; Rüppel, Uwe ; Schenk, Gerrit Jasper ; Steinke, Florian (2021):
Transformation, Zirkulation, System of Systems : Für ein dynamisches Verständnis netzgebundener Infrastrukturen. (Publisher's Version)
Darmstadt, DOI: 10.26083/tuprints-00017923,
[Report]

Erbs, Nicolai (2015):
Approaches to Automatic Text Structuring.
Darmstadt, Technische Universität,
[Ph.D. Thesis]

Falke, Tobias (2019):
Automatic Structured Text Summarization with Concept Maps.
Darmstadt, Technische Universität,
[Ph.D. Thesis]

Ferschke, Oliver (2014):
The Quality of Content in Open Online Collaboration Platforms: Approaches to NLP-supported Information Quality Management in Wikipedia.
Darmstadt, Technische Universität,
[Ph.D. Thesis]

Flekova, Lucie (2017):
Leveraging Lexical-Semantic Knowledge for Text Classification Tasks.
Darmstadt, Technische Universität,
[Ph.D. Thesis]

Gurevych, Iryna ; Daxenberger, Johannes (2021):
ArgumenText: Entscheidungsunterstützung durch die automatische Extraktion von Argumenten aus großen Textquellen (Schlussbericht). (Publisher's Version)
Darmstadt, DOI: 10.26083/tuprints-00018663,
[Report]

Hanselowski, Andreas (2020):
A Machine-Learning-Based Pipeline Approach to Automated Fact-Checking. (Publisher's Version)
Darmstadt, Technische Universität,
DOI: 10.25534/tuprints-00014136,
[Ph.D. Thesis]

Hartmann, Silvana (2017):
Knowledge-based Supervision for Domain-adaptive Semantic Role Labeling.
Darmstadt, Technische Universität,
[Ph.D. Thesis]

Jakob, Niklas (2011):
Extracting Opinion Targets from User-Generated Discourse with an Application to Recommendation Systems.
Darmstadt, Technische Universität,
[Ph.D. Thesis]

Jamison, Emily K. (2016):
Crowdsource Annotation and Automatic Reconstruction of Online Discussion Threads.
Darmstadt, Germany, Technische Universität Darmstadt,
[Ph.D. Thesis]

Kuznetsov, Ilia (2022):
The Role of Linguistics in Probing Task Design. (Publisher's Version)
Darmstadt, Technische Universität,
DOI: 10.26083/tuprints-00019851,
[Ph.D. Thesis]

Matuschek, Michael (2015):
Word Sense Alignment of Lexical Resources.
Darmstadt, Technische Universität,
[Ph.D. Thesis]

Meyer, Christian M. (2013):
Wiktionary: The Metalexicographic and the Natural Language Processing Perspective.
Darmstadt, Technische Universität,
[Ph.D. Thesis]

Miller, Tristan (2016):
Adjusting Sense Representations for Word Sense Disambiguation and Automatic Pun Interpretation.
Darmstadt, tuprints, Technische Universität Darmstadt,
[Ph.D. Thesis]

Peyrard, Maxime (2019):
Principled Approaches to Automatic Text Summarization.
Darmstadt, Technische Universität,
[Ph.D. Thesis]

Polisetty Venkata Sai, Avinesh (2020):
Information Preparation with the Human in the Loop.
Darmstadt, TU Darmstadt,
DOI: 10.25534/tuprints-00011839,
[Ph.D. Thesis]

Puzikov, Yevgeniy (2021):
Principled Approach to Natural Language Generation. (Publisher's Version)
Darmstadt, Technische Universität Darmstadt,
DOI: 10.26083/tuprints-00019115,
[Ph.D. Thesis]

Reimers, Nils Fabian (2018):
Universal Machine Learning Methods for Detecting and Temporal Anchoring of Events.
Darmstadt, Technische Universität,
[Ph.D. Thesis]

Rodrigues Ribeiro, Leonardo Filipe (2022):
Graph-based Approaches to Text Generation. (Publisher's Version)
Darmstadt, Technische Universität,
DOI: 10.26083/tuprints-00021498,
[Ph.D. Thesis]

Rücklé, Andreas (2021):
Representation Learning and Learning from Limited Labeled Data for Community Question Answering. (Publisher's Version)
Darmstadt, Technische Universität,
DOI: 10.26083/tuprints-00018508,
[Ph.D. Thesis]

Sorokin, Daniil (2021):
Knowledge Graphs and Graph Neural Networks for Semantic Parsing. (Publisher's Version)
Darmstadt, Technische Universität,
DOI: 10.26083/tuprints-00019187,
[Ph.D. Thesis]

Stab, Christian Matthias Edwin (2017):
Argumentative Writing Support by means of Natural Language Processing.
Darmstadt, Technische Universität Darmstadt,
[Ph.D. Thesis]

Stahlhut, Chris (2021):
Interactive Evidence Detection. (Publisher's Version)
Darmstadt, Technische Universität,
DOI: 10.26083/tuprints-00019154,
[Ph.D. Thesis]

Zesch, Torsten (2010):
Study of Semantic Relatedness of Words Using Collaboratively Constructed Semantic Resources.
Darmstadt, Technische Universität,
[Ph.D. Thesis]

Zhao, Wei (2023):
On the Principles of Evaluation for Natural Language Generation. (Publisher's Version)
Darmstadt, Technische Universität Darmstadt,
DOI: 10.26083/tuprints-00023295,
[Ph.D. Thesis]

Zhu, Zhemin ; Bernhard, Delphine ; Gurevych, Iryna (2009):
A Multi-Dimensional Model for Assessing the Quality of Answers in Social Q&A Sites.
Technische Universität Darmstadt, UKP Lab, [Report]

da Silva Santos, Pedro Bispo (2021):
Multimodal Classification of Audiovisual Content. (Publisher's Version)
Darmstadt, Technische Universität Darmstadt,
DOI: 10.26083/tuprints-00018590,
[Ph.D. Thesis]