M.Sc. Sebastian Germesin
Sebastian Germesin was born in Merzig, Germany and started his studies of computer science at the Saarland University in 2002.
He finished his studies in May 2008 with a Master's degree and after that, he started working in the position of a Researcher at the DFKI - the German Research Center for Artificial Intelligence - at Saarbrücken in the AMIDA project which is a multi-disciplinary research project whose aims are to develop technology to support human interaction in meetings and to provide better structure to the way meetings are run and documented. His main research topics were the classification of dialogue acts and furthermore the detection and classification of speech production errors (so called disfluencies) which occur in spoken language.
With the end of AMIDA in 2009, he joined the EU-funded IKS project. IKS' (Interactive Knowledge Stack) main objective is to provide open source technologies for semantically enhanced content management systems CMS. Sebastian Germesin's key task is the definition and development of semantic Interaction Patterns to model the interaction of a user with semantically enriched content. During this work, he also joined the Semantic Editor group and initiated the Semantic Interaction webpage.
Feel free to download the full CV.
|Vishal Juneja and Sebastian Germesin and Thomas Kleinbauer, "A Learning-based Sampling Approach to Extractive Summarization", In: Student Research Workshop of NAACL-HLT 2010, Los Angeles, USA, 2010|
|Sebastian Germesin and Theresa Wilson, "Agreement Detection in Multiparty Conversation", In: Proceedings of ICMI-MLMI 09, Cambridge, USA, 2009, Outstanding Student Paper Award|
|Thomas Kleinbauer and Sebastian Germesin, "ARKTiS - A Fast Tag Recommender System Based On Heuristics", In: ECML PKDD (Discovery Challenge) 09, Bled, Slovenia, 2009|
|Andrei Popescu-Belis, Peter Poller, Jonathan Kilgour, Mike Flynn, Sebastian Germesin, Alexandre Nanchen and Majid Yazdani, "Comparing Meeting Browsers using a Task-based Evaluation Method", Research Report no. Idiap-RR-38-09, Idiap Research Institute, Martigny, Switzerland, December, 2009|
|Sebastian Germesin, Tilman Becker and Peter Poller, "Domain-specific Classification Methods for Disfluency Detection", In: Proceedings of Interspeech 08, Brisbane, Australia, 2008|
|Sebastian Germesin, Tilman Becker and Peter Poller, "Determining Latency for Online Dialog Act Classification", In: Proceedings of MLMI 08, Utrecht, The Netherlands, 2008|
|Sebastian Germesin, Tilman Becker and Peter Poller, "Hybrid Multi-Step Disfluency Detection", In: Proceedings of MLMI 08, Utrecht, The Netherlands, 2008|
|Sebastian Germesin, "Disfluency Classification and Correction with a Hybrid Machine Learning and Rule-based Approach", Master's Thesis, Universität des Saarlands, Saarbrücken, Germany, 2008|
|Sebastian Germesin, "Spracherkennung mit dynamisch geladenen, spezifischen Akustikmodellen", Bachelor's Thesis, Universität des Saarlands, Saarbrücken, Germany, 2006|
|Massimo Romanelli, Sebastian Germesin, Alessandro Adamou, Violeta Damjanovic, Sabine Janzen, Andreas Filler, Alex Conconi, Tobias Kowatsch, Tilman Becker , "IKS Deliverable - D3.1 Model of Knowledge Based Interaction",Public Deliverable of IKS Project, 2010|
|Sabine Janzen, Wolfgang Maass, Tobias Kowatsch, Andreas Filler, Massimo Romanelli, Sebastian Germesin, Tilman Becker, Gokce B. Laleci, Ozgur Kilic, Cagdas Ocalan, Erdem Alpay & Asuman Dogac, "IKS Deliverable - D2.1: AMI Case Requirements Specification",Restricted Deliverable of IKS Project, 2010|
Hybrid Multi-Step Disfluency Detection
HAIL/SALS-SIG Seminar, ICT Centre, CSIRO, September 2008, Sydney, Australia
Hybrid Multi-Step Disfluency Detection
UMNL Research Group, Monash University, September 2008, Melbourne, Australia
|Hanne Kosinowski, "Modular Grammars for Speech Recognition in Ontology-Based Dialogue Systems", Bachelor's Thesis, Universität des Saarlands, Saarbrücken, Germany, 2010|