B

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]

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

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

D

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]

E

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

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

F

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]

H

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]

J

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]

M

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]

P

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]

R

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

S

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

Z

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

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