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A list of all the posts and pages found on the site. For you robots out there is an XML version available for digesting as well.
Pages
publications
research
Organizing/Programme committee or invited reviewer
Organizing committee
Event Analysis
The goal is to analyse vast amounts of event-centric textual and visual information in multiple languages.
Misinformation Detection
Misinformation detection is a field of study to detect documents that include falsified information in the form of text, images, videos, etc. The research explores the ideas to detect misinformed facts from social media posts, news articles, videos and related multimedia data.
Multimodal Learning
Multimodal Learning is a method of analysing multimodal information such as videos, image and text pairs, etc. The main goal is to build computational models to jointly extract, interpret information from all available modalities.
Natural Language Understanding
Natural Language Understanding is a subtopic of natural language processing in Artifical Intelligence that deals with machine reading comprehension.
Supervision
Supervised Theses
Video Analysis
Video summarization deals with providing a summary for lengthy videos by taking into account the audio, text and visual frames to create concise, informative summaries. The research mainly deals with educational videos where the aim is to provide short summaries that cover most of the information presented in a video to boost easier and quick way for skimming seminar, research talks.
talks
Applying Semantic Parsing to QuestionAnswering over Linked Data: Addressing theLexical Gap
Published:
Applying Semantic Parsing to QuestionAnswering over Linked Data: Addressing theLexical Gap
Combining Textual and Graph-Based Features for Named Entity Disambiguation using Undirected Probabilistic Graphical Models
Published:
NERFGUN: A named entity disambiguation tool for linking named entities to Wikipedia
Towards a Large Corpus of Richly Annotated Web Tables for Knowledge Base Population
Published:
Annotation pipeline for extracting information from Web Tables.
AMUSE: Multilingual Semantic Parsing for Question Answering over Linked Data
Published:
Building multilingual semantic parsers using undirected graphical models
Learning Multilingual Semantic Parsers for Question Answering over Linked Data
Published:
PhD Dissertation Talk, Semantic Computing Group, CITEC, Bielefeld University, Germany
TIB-VA at SemEval-2022 Task 5: A Multimodal Architecture for the Detection and Classification of Misogynous Memes
Published:
Multimodal architecture to detect misogynous memes. It is evaluated on the challenge SemEval-2022 Task 5: A Multimodal Architecture for the Detection and Classification of Misogynous Memes, co-located with the Annual Conference of the North American Chapter of the Association for Computational Linguistics (NAACL) 2022.
Images in Language Space: Exploring the Suitability of Large Language Models for Vision & Language Tasks
Published:
Findings of the Association for Computational Linguistics: ACL 2023
Evaluating Modular Dialogue System for Form Filling Using Large Language Models
Published:
Workshop on Simulation of Conversational Intelligence in Chat (SCI-CHAT) at EACL 2024
Unveiling Global Narratives: A Multilingual Twitter Dataset of News Media on the Russo-Ukrainian Conflict
Published:
Presented at International Conference on Multimedia Retrieval (ICMR) 2024
teaching
Information Extraction from Web Tables
Graduate course, Bielefeld University, 2018
The task of the project is to i) develop and implement these higher level tasks by building on the basic tasks, thus to realize table understanding, ii) execute these tasks on real data, iii) extract information from tables and extend a knowledge base, and iv) evaluate the correctness of the tasks and the extracted information. Possibly, v) further basic tasks need to be implemented or existing basic tasks need to be improved.
Statistical Natural Language Processing
Graduate course, Bielefeld University, 2018
This course involves the creation of effective systems for the processing of text by means of statistical methods. There will be significant challenge in integrating these components into a scalable system that can handle the large amount of data required to obtain high accuracy. In addition to the technical challenges in this course, the students will be required to read recent research papers related to the task and integrate these results into their solutions. Between 2014-2018 (8 semesters).
Proseminar Visual Analytics
Undergraduate course, Hannover University, 2020
This seminars involves the understanding basic ideas around visual analytics and computational multimodal systems. The students are present a chosen publication and write a technical report about it.
Current Highlights in NLP
Graduate course, University of Potsdam, 2022
This seminar is part of the MSc degree in Cognitive Systems. It covers various recent advancements from the Natural Language Processing field. The goals of the seminar are the following:
Advanced Natural Language Processing
Graduate course, University of Potsdam, 2022
This lecture is part of the MSc degree in Cognitive Systems. It covers basics and advancements in the field of Natural Language Processing (text classification, neural language models, syntactic parsing, semantic parsing, ethics).
Formal Languages and Automata
Undergraduate course, University of Potsdam, 2023
This course covers topics such as: learn about automata, understand Chomsky-hiearchy, Pumping Lemma, Turing Machines.
Current Highlights in NLP
Graduate course, University of Potsdam, 2023
This seminar is part of the MSc degree in Cognitive Systems. It covers various recent advancements from the Natural Language Processing field. The goals of the seminar are the following:
Methods in Natural Language Processing
Undergraduate course, University of Potsdam, 2023
This seminar is part of the BSc degree in Computational Linguistics. It covers various methods from the Natural Language Processing field. The goals of the seminar are the following:
Project Seminar: Models That Explain Themselves
Graduate course, University of Potsdam, 2023
This practical seminar (aka project module) is part of the MSc degree in Cognitive Systems. It covers implementation of model architectures that allow some way of explaining the predictions. The implementation covers multimodal tasks where image and text are used jointly in the same context.
Formal Languages and Automata
Undergraduate course, University of Potsdam, 2024
This course covers topics such as: learn about automata, understand Chomsky-hiearchy, Pumping Lemma, Turing Machines.
Project Seminar: Evaluating Chat-Optimized Language Models
Graduate course, University of Potsdam, 2024
This practical seminar (aka project module) is part of the MSc degree in Cognitive Systems. It covers evaluation of Large Language Models that are optimized for chat formats. The implementation includes taking an existing game (card, board, adventure, text-based, …) and adapt it to the clembench framework.
Current Highlights in NLP
Graduate course, University of Potsdam, 2024
This seminar is part of the MSc degree in Cognitive Systems. It covers various recent advancements from the Natural Language Processing field. The goals of the seminar are the following:
Programming 1
Undergraduate course, University of Potsdam, 2024
This course is part of the BSc degree in Computational Linguistics. It covers basics of programming with focus on: