Current Projects by Funding Source


Long-term UKP team projects

Darmstadt Knowledge Processing (DKPro) Repository

The DKPro Repository consists of a growing number of scalable, robust and flexible UIMA components for various kinds of NLP tasks such as tokenization, sentence splitting, PoS tagging, negation detection, lexical chaining, word pair extraction.

Feel free to download our DKPro Flyer.

UBY – Large-scale Sense-linked Lexical-semantic Resource

UBY is a large-scale lexical-semantic resource for natural language processing (NLP) based on the ISO standard Lexical Markup Framework (LMF). Most UBY related software is developed open source on Google Code. UBY combines a wide range of information from expert-constructed and collaboratively constructed resources for English and German.

German Research Foundation

Feature-based Visualization and Analysis of Natural Language Documents (VisADoc)

This project, implemented in cooperation with the University of Konstanz, aims to investigate novel textual features for modeling content-related text properties, to develop an interactive feature engineering approach for complex user-defined semantic properties, and to develop visual analysis tools that support the exploration of large document collections with respect to a certain text property.

Information Consolidation: A New Paradigm in Knowledge Search (DIP project)

The DIP project - an international cooperation with Bar-Ilan University and Israel Institute of Technology - aims at the next big step in information access technology. The goal is to support users in identifying and assimilating the large set of relevant statements found within multitudes of documents which are usually retrieved by the current search technologies. Novel methods for statement extraction, information consolidation, and inferring relations represent the core research areas within this project.

QA-EduInf: Community-based Question Answering for Educational Information

The project aims at using natural language processing techniques to analyze educational information and answer user questions on various educational topics. Since a large portion of users' questions have already been asked by other people in community question answering forums and answered by educational experts or crowds, we use the available question and answer archives to answer these questions and minimize human effort in searching through educational information. The project consists of different components including question classification, question and answer retrieval, answer quality assessment, and summarization.

Research Training Group AIPHES ("Adaptive Information Preparation from Heterogeneous Sources"), DFG GRK 1994

AIPHES develops new methods to deal with information overload by summarizing multiple documents to a condensed summary. We develop adaptive methods to create summaries of any type from multiple sources and across different genres. To do so, we combine different methodological backgrounds – computational linguistics, computer science, machine learning – to approach the task of extracting, summarizing and evaluating textual information from different sources.

Federal Ministry of Education and Research (BMBF)

Centre for the Digital Foundation of Research in the Humanities, Social, and Educational Sciences (CEDIFOR)

CEDIFOR intends to contribute to bridging the gap between research in the Humanities and computer based methods, and help researchers to master the characteristic problems in this process. It is a Digital Humanities Centre providing methodological expertise for advising researchers from the Humanities, Social, and Educational Sciences on adopting computer based methods in their research. This concerns the planning and operational stage of projects as well as the long-term provision of result data.

Software Campus Program (BMBF)

Argumentative Writing Support

Formulating persuasive and well-formed arguments is a challenging task and a crucial aspect in writing skills acquisition. However, current writing support is limited to feedback about grammar or spelling and there is no system that provides formative feedback about argumentative writing. In this project, we aim to research novel methods for assisting authors in writing persuasive arguments with respect to the following questions: Is my argument well structured and comprehensible? Are the given reasons relevant for my claim? Does my argument include sufficient support for being persuasive?

Personality Profiling in Books

For the e-book recommendation systems it can be very helpful to know answers to high-level content questions that readers may have, for example "What is the main hero like?", "Is the story complicated?" or "Is the book suitable for children?". The idea of this project is to leverage real-world knowledge resources in order to facilitate estimating answers to such questions with a machine learning system. To reach this goal, the initial research focus lies in identifying suitable approaches to integrate semantic knowledge into the text classification algorithms.

Structuring Story-Chains

Nearly everyone is struggling to keep up with the larger and larger amounts of information, making this information-overload a major problem in todays society. The news domain is no exception. Since current search engines retrieve information based on keywords and sort the results based on their associated relevance for the entered search query, the large amount of returned articles makes it hard to understand the evolution of an event. In this project, we aim to develop novel methods for structuring news stories in a more coherent way by attempting to discover and model causal connections between articles, present complex news stories in a simpler way and reduce the information-overload.

European Commission (EU)


OpenMinTeD aspires to enable the creation of an infrastructure that fosters and facilitates the discovery and use of text mining technologies and interoperable services. It examines several use cases identified by experts from different scientific areas, ranging from generic scholarly communication to literature related to life sciences, food and agriculture, and social sciences and humanities.


Welt der Kinder

The digital humanities project “Welt der Kinder” funded by the SAW program of the Leibniz Society started in May 2014 and is designed as a test model for future similar projects. By very close cooperation between historians, information scientists, and computer scientists, it aims to gain new insights about the period from 1850 until 1918, a time in which an accelerated production of knowledge was dominated by both globalization and nationalisation at the same time

This poster gives an overview of the project context, its goals, and its methods.


The main topic of this PhD program is knowledge discovery in the vast amount of scientific literature ubiquitously available on the Web and in untapped historical sources. This research employs methods of intelligent identification and analysis of structures in scientific texts on all scales, enabling completely new, previously unforeseen forms of access to scientific information.

Processing of Audiovisual Content: Integration of Automatic and Manual Analysis

A large quantity of modern educational content is audiovisual. The amount of this type of content is increasing rapidly due to the use of consumer electronics for audiovisual content. However, one issue raises when audiovisual content has to be manually analysed by humanistic researchers: manual analysis is a very hard and tedious task. The goals of this project is to create frameworks which facilitate the integration of manual and automatic analysis of audiovisual content and investigate which machine learning methods can automatically classify educational audiovisual content.

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