Current Projects

Joint Projects of the UKP Lab

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.

Semantic Information Management

Integrating Collaborative and Linguistic Resources for Word Sense Disambiguation and Semantic Role Labeling (InCoRe)

In the InCoRe project, we address the lack of coverage typically associated with lexical semantic resources. The major goal of this project is the integration of various expert-built and collaboratively created lexical semantic resources to a large-scale resource of unprecedented coverage and quality. The second major goal of InCoRe is to scale natural language processing technologies utilizing lexical semantic resources, specifically word sense disambiguation and semantic role labeling, to real-life applications based on the developed resource.

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.

IT Forensics (as part of CASED)

This project develops tools to process the natural language in collections of Web 2.0 documents for the identification of fraud and crime.  CASED brings together researchers from diverse backgrounds to collaborate on advanced security research.  The UKP lab operates the Forensic Linguistics project of CASED, with the goals of creating tools to aid the investigation of crimes on the Web, finding relevant documents using a semantic search, identifying relevant information bits (persons, places, times), and analyzing the relations between them.

Feel free to download our Forensic Linguistics Flyer.

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.

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.

Language Technology for eHumanities

Construction of Research Infrastructures for eHumanities (DARIAH-DE)

The mission of DARIAH-EU is to enhance and support digitally-enabled research across the arts and humanities. DARIAH aims to develop and maintain an infrastructure in support of research practices based on information and communication technology - so called virtual research environments. The UKP Lab will provide illustrative prototypes and demonstrators specified in collaboration with researchers in the humanities, that will build upon the general infrastructure and best practices developed by DARIAH.

CLARIN-D: Implementation of a web-based annotation platform for linguistic annotations

We develop a web-based tool, which runs in a web browser without further installation effort. We support annotations on several linguistic layers within the same user interface. Further, we realize an interface to crowdsourcing platforms, to be able to scale simple annotation tasks to a large amount of annotators. The annotation platform will be connected to the CLARIN-D infrastructure, to be interoperable with the processing pipelines in WebLicht. The development of the tool is supported by a concurrent second curation project, which defines ‘best practices’ for linguistic annotation on several language layers for different annotator status groups.

Welt der Kinder

The digital humanities project “Welt der Kinder” 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.

Educational NLP

Educational Web 2.0 (EduWeb)

In the EduWeb project, we seek to implement our vision of technology enhanced education of the 21st century. A vast amount of content is produced by many people every day, but despite their interconnection through the World Wide Web, their efforts are often isolated from each other. To overcome this problem, the UKP Lab will provide and explore new algorithms to simplify tedious, recurring tasks as well as improving the coordination with the community.

Utilizing Web Knowledge: Language Technologies and Psychological Processes

The project examines the usefulness of selected, innovative language technologies according to psychological processes and models. This research project will provide important groundwork by bringing together scientists from computer science, industrial science, and psychology.

In a labor market that is increasingly globalized, knowledge of one or even more than one foreign language is more relevant than ever before. New research technologies from the field of natural language processing can support self-directed learning as they offer tools for the assessment of text difficulty and enable the automated generation of adequate exercises.

Software Campus

This executive development program, which is funded by the German Federal Ministry of Education and Research (BMBF), enjoys the support of a total of 18 partners from the industry and research.

open window

open window is concerned to give the oportunity for learners to look into interlinked educational content in the World Wide Web. As part of the Open Window project, technologies for automatic linking educational content with different collaboratively created media are developed. These collaborative created media include encyclopedias, such as Wikipedia, and social media services, such as Twitter.

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.

Projects Conducted in Cooperation with DIPF

Educational Text Analytics: Automatically Grading Text Response

Initial work in automatically grading text responses using text analytics concerns participation in the 2013 SemEval challenge on textual entailment, applying automatic grading methods to a novel corpus of children's essays, and publishing a survey article on the state of the art of short answer grading methods.

Educational Monitoring on the web – Identifying and Following Educationally Relevant Controversies

The project aims at putting into practice a monitoring system for public opinion on the most important controversially discussed educationally relevant topics that can be found on the internet. Therefore, tools are developed that provide new opportunities for tracking and analyzing different controversies that are relevant to education.

Extracting and visualising information

The project aims at providing support to educational information and educational research in the assessment of complex data. Focus is placed on natural language data processing as found in many forms in the field of education, such as free text questions in studies or publications.

External collaborations with DIPF

Automatic Coding of Free Text Formats for Elaborated Educational Measurement

AKTeur pursues the central objective of creating an interdisciplinary co-operation network and a broad technological basis for automated coding of free text responses in manifold scenarios.

Information Extraction From Spoken and Informal Language

In this project various aspects of extracting and using information based on data that contains spoken or informal language are examined. These aspects cover among others elements such as classification (What makes a good answer?) Segmentation and Keyphrase extraction (in the context of transcripts of school lessons) and Summarization of data for Eduserver. In each sub project either the source of the data is from the educational domain or the goal is providing information or tools to researchers in the area of educational research.

Contextualized Information Processing of Educational Content Using Automatic Summarization (Methods)

Subject to a co-operation with DIPF, a Master’s thesis at Technical University Darmstadt presented first approaches to developing a method offering machine-based support of manual summaries of data collections in the field of educational research.

Innovative services for educational research data

The innovative services for educational research data are aimed at reducing the manual effort of analysis invested dby educational researchers, thus enabling them to gain more time for the actual research matters. Research in this area is conduced in cooperation with DIPF.

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