AI & Machine Learning with Meaningful Impact
My research connects the concepts and methods of social networks and the semantic web with machine learning and natural language processing. I am interested in combining human intelligence with artificial intelligence methodologies. I am specifically interested in methods that bridge the areas of connectionism and symbolics models applied to real-world applications
USI Answers: Natural Language Question Answering Over (Semi-) Structured Industry Data
Abstract: The paper reports on the progress towards the goal of offering easy access to enterprise data to a large number of business users, most of whom are not familiar with the specific syntax or semantics of the underlying data…
German Polarity Clues
A Lexical Resource for German Sentiment Analysis: Feel free to use/download the GermanPolarityClues dictionary A new publicly available lexical resource for sentiment analysis for the German language The resource offers a number of 10.141 polarity features, associated to three numerical…
WikiQA – Question Answering
WikiQA is a German open domain question answering system that uses the Wikipedia as a knowledge base to answer natural language questions. It has been developed by the KnowCIT project (Artificial Intelligence Group) within the CITEC at Bielefeld University. Using…
Deciphering the Communicative Code in Speech and Gesture Dialogues by Autoencoding Hypernetworks
Title: Deciphering the Communicative Code in Speech and Gesture Dialogues by Autoencoding Hypernetworks Authors: N. – S. Nam, K. Bergmann, U. Waltinger, S. Kopp, I. Wachsmuth, B. – T. Zhang Pub/Conf: Embodied & Situated Language Processing – ESLP 2011 Abstract: What…
Harvesting Wikipedia Knowledge to Identify Topics in Ongoing Natural Language Dialogs
Title: Harvesting Wikipedia Knowledge to Identify Topics in Ongoing Natural Language Dialogs Authors: Breuing A, Waltinger U, Wachsmuth I Pub/Conf: IEEE/WIC/ACM International Joint Conference on Web Intelligence and Intelligent Agent Technology (WI-IAT 2011). IEEE: 445–450. 2011 Abstract: This paper introduces a…
Talking Topically to the Artificial Agent Max
Title: Talking Topically to the Artificial Agent Max Authors: Breuing A, Waltinger U, Wachsmuth I Pub/Conf: Postersession at the Interdisciplinary College. Sankt Augustin, Germany: 488. 2011 Abstract: How do we recognize a topic in dialog? How can we detect topic shifts?…
