AIPHES Members

The research training group is led by Prof. Iryna Gurevych (UKP Lab) from the Computer Science Department of TU Darmstadt.

Administration

  • Silvia Previero (office admin)

Former research staff

Member Profiles

Dr. Judith Eckle-Kohler

Dr. Judith Eckle-Kohler, Ubiquitous Knowledge Processing (UKP) Lab, Department of Computer Science, TU Darmstadt

Judith Eckle-Kohler’s research interests include semi-supervised knowledge-based methods for semantic text processing with a particular focus on rich linguistic and lexical knowledge sources.
Since 2011, she has been leading the development of the large-scale linked lexical resource UBY . Her current research focuses on the application of UBY as a knowledge source in semi-supervised approaches to semantic text processing.
In AIPHES, she is primarily responsible for the guiding theme B2: Content selection based on linked lexical resources in close collaboration with the other guiding themes of Area B: Natural Language Processing for multi-document summarization. She is also engaged in questions around lexical resources in the guiding themes of Area A: Graph-based discourse processing, as well as in the guiding theme C3: Distributed representations for adaptive language processing.

Prof. Dr. Anette Frank

Prof. Dr. Anette Frank, Department of Computational LinguisticsHeidelberg University

Anette Frank's main research interests are in discourse-oriented semantic analysis as a basis for information extraction and natural language understanding. Her recent research applies distributional semantic models and weakly supervised graph-based methods to the analysis of lexical meaning in context. Special research themes relevant for AIPHES are the semantics of events and adjective semantics. Her work is published in leading international computational linguistics conferences.

Within AIPHES, she will primarily advise researchers in themes A2 and A3 and co-advise researchers in related themes. These may include Area A (A1: multi-document coreference), Area B (B2: content selection) and C (C1: motif analysis, C3: distributed word representations).

Prof. Johannes Fürnkranz

Prof. Johannes Fürnkranz, Knowledge Engineering, Computer Science Department, TU Darmstadt

Prof. Fürnkranz's main research interest is machine learning and data mining, in particular inductive rule learning, multi-label classification and preference learning, and their applications in game playing, web
mining, and scientific data mining. He helped to shape the field of preference learning by co-
editing a book on this subject, and recently published a monograph on inductive rule learning.

In AIPHES, he will primarily lead the activities in the guiding theme C2: Methods for contextual and constaint-based ranking, but also collaborate with the projects in areas A and B, which need ranking methods, as well as the other learning-oriented packages C1 and C3.

Prof. Dr. Iryna Gurevych

Prof. Dr. Iryna Gurevych, Ubiquitous Knowledge Processing (UKP) Lab, Department of Computer Science, TU Darmstadt
 
Prof. Gurevych’s research interests are in lexical-semantic methods of text analysis and innovative applications of text and media analytics in social sciences and humanities, including online media. She has directed large-scale efforts to create a sense-linked lexical-semantic knowledge base UBY and a freely available collection of language processing components called DKPro, including a framework for text classification. Currently, Prof. Gurevych works on automatic methods of analyzing argumentative texts, utilizing sense-linked lexical-semantic resources in multiple NLP tasks, such as WSD or SRL, and exploring the potential of language processing to support the users and creators of online media.
 
In AIPHES, Prof. Gurevych assumes overall responsibility for the Research Training Group as a Spokesperson. She will advise or co-advise PhD researchers and contribute her expertise to the guiding themes B1, C3 and D2, and she will collaborate with A3 and D1.
 
A list of previous successful PhD theses advised by Prof. Gurevych is available here.

Dr. Christoph Rensing

Dr. Christoph Rensing, Multimedia Communications, Department of Electrical Engineering, TU Darmstadt

Christoph Rensing leads a team of researchers in the area of knowledge & educational technologies since 2004. Among other things he is working on the evaluation of information from the Web. A primary objective is the recommendation of items from the Web to support individualized learning in open learning arrangements. For this he uses external knowledge resources like Wikipedia but also text inherent criteria.

In AIPHES, he will advise or co-advise PhD researchers and contribute his expertise to the guiding theme D1: Multi-level models of information quality in online scenarios. In addition he will coordinate the cooperation with user groups, esp. online editor groups.

Prof. Dr. Michael Strube

Prof. Dr. Michael Strube, Natural Language Processing Group, Heidelberg Institute for Theoretical Studies

Michael Strube is interested in questions related to processing, understanding and generating discourse. He works on coreference resolution with a particular focus on appropriate representations for the task. He develops models of local coherence, most recently an unsupervised, graph-based version of the entity grid with applications in text generation, assessing readability and automatic summarization. He is also interested in word sense disambiguation and its relations to discourse processing.

In AIPHES, Michael will primarily advise theme A1: Entity Linking/Cross-document Coreference Resolution and co-advise A3: Opinion and Sentiment.

Prof. Dr. Karsten Weihe

Prof. Dr. Karsten Weihe, Algorithmics group, Department of Computer Science, TU Darmstadt

Karsten Weihe’s research interests include efficient graph algorithms and network analysis with a strong focus on applications in other scientific disciplines and in industrial and economic problems.

For several years, he has been working on motif analysis of graphs (networks) from different domains, including co-authorship networks and various text-based graphs.

In AIPHES, he is primarily responsible for the guiding theme, C.1: Motif analysis of text-based graphs, in conjunction with the other guiding themes of Area C: Representation and analysis of text-based structures. Beyond motif analysis, he is deeply engaged in all guiding themes of Area A: Graph-based discourse processing.

Dr. Richard Eckart de Castilho

Dr. Richard Eckart de Castilho, Ubiquitous Knowledge Processing (UKP) Lab, Department of Computer Science, TU Darmstadt

Dr. Richard Eckart de Castilho is working on the intersection of natural language processing and software engineering. His research interests lie in NLP software infrastructures and interoperability. He did his Ph.D. on the topic of "Natural LanguageProcessing: Integration of Automatic and Manual Analysis" (Eckart de Castilho, 2014).
In the role of the technical lead of the UKP Lab, he has been advising researchers on designing software architectures for research and reuse. He leads the open source DKPro Core project, a collection of software components for natural language processing based on the Apache UIMA framework.
In AIPHES, he is primarily responsible for guiding the researchers towards creating reproducible experimental setups, realizing research prototypes with a high potential for reusability, interfacing these with existing and to-be-created research infrastructures, and transferring them into tools for the community.

Dr. Eneldo Loza Mencía

Dr. Eneldo Loza Mencía, Knowledge Engineering, Computer Science Department, TU Darmstadt

Dr. Loza Mencía's main research interest is machine learning and data mining, particularly multilabel classification, large scale classification, pairwise and text classification.

In AIPHES, he will primarily co-advice doctoral researchers and contribute his expertise to the guiding theme C2: Methods for contextual and constaint-based ranking, but also to C3: Distributed representations for adaptive language processing.

Dr. Christian M. Meyer

Dr. Christian M. Meyer, Postdoctoral Researcher, Ubiquitous Knowledge Processing (UKP) Lab, Department of Computer Science, TU Darmstadt

Christian M. Meyer’s research interests include intelligent writing assistance and knowledge-based approaches with a particular focus on innovative applications for lexical resources.

He has expertise in large-scale linked lexical resources, word sense disambiguation, and assessing inter-rater agreement. His dissertation at the intersection of digital lexicography and natural language processing addressed the collaboratively created online lexicon Wiktionary.

In AIPHES, he contributes his own qualification project in the area of computer-assisted writing. The integration of context-specific source documents and lexical resources into a digital writing environment as well as the indication and correction of quality flaws in stylistically heterogeneous texts represent two major research objectives. The project is closely linked to the guiding theme B3: Data-driven paraphrasing and harmonization of language style and research area D: Criteria and methods for quality assessment of heterogeneous sources and dossiers.

Prof. Dr. Margot Mieskes

Prof. Dr. Margot Mieskes, Postdoctoral Researcher, DIPF – Educational Research and Educational Information, Frankfurt

Margot Mieskes did her PhD on exploring methods for the automatic summarization of multi-party dialogues. Afterwards, she was employed in various industrial projects, before returning to academia. She is currently a postdoctoral researcher at DIPF in Frankfurt and associated with the UKP in Darmstadt. Her research focuses on manual evaluation of summarization and the extension of automatic evaluation methods. In AIPHES, she contributes her own qualification project related to D2: Manual and Automatic Quality Assessment of Summaries from Heterogeneous Sources.  She also has research experience related to D1: Modeling information quality in online scenarios and B2: Content selection based on linked lexical resources.

Prof. Dr. Ralf Steinmetz

Prof. Dr. Ralf Steinmetz, Multimedia Communications, TU Darmstadt

Ralf's Steinmetz research interest is on seamless multimedia communication and information provision, which has the potential to create a future where people from all over the world live, collaborate, and communicate independent of geographical constraints.

In AIPHES, he will contribute his expertise especially in the Research Area D: Criteria and methods for quality assessment of heterogeneous sources and dossiers and will co-advise PhD researchers.

Dr. Sebastian Harrach

Dr. Sebastian Harrach, Scientific Coordinator, Ubiquitous Knowledge Processing (UKP) Lab, Department of Computer Science, TU Darmstadt


Dr. Sebastian Harrach‘s obtained an interdisciplinary PhD in philosophy on machine learning and AI. His thesis is published in Edition panta rei at transcript:

In AIPHES, Dr. Sebastian Harrach is responsible for the administrative organization and coordination of AIPHES. He supports the spokesperson by implementing the AIPHES administrative and project management infrastructure and coordinating the work by other members of AIPHES.

A A A | Drucken Print | Impressum Impressum | Sitemap Sitemap | Suche Search | Kontakt Contact | Webseitenanalyse: Mehr Informationen
zum Seitenanfangzum Seitenanfang