GermanPolarityClues – 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 polarity scores, determining the positive, negative and…
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…
An Empirical Study on Machine Learning-Based Sentiment Classification Using Polarity Clues
Title: An Empirical Study on Machine Learning-Based Sentiment Classification Using Polarity Clues Authors: Ulli Waltinger Pub/Conf: Web Information Systems and Technologies Lecture Notes in Business Information Processing Volume 75, 2011, pp 202-214 Abstract: In recent years a variety of approaches…
Digital Fruits For Lunch: Feeding Embodied Conversational Agents With Wikipedia Knowledge
Title: Digital Fruits For Lunch: Feeding Embodied Conversational Agents With Wikipedia Knowledge Authors: Ulli Waltinger, Alexa Breuing, Ipke Wachsmuth Pub/Conf: Interdisciplinary College Abstract: Recent advances in Artificial Intelligence and Natural Language Processing have enhanced the vision of using embodied conversational…
On Social Semantics in Information Retrieval
Title: On Social Semantics in Information RetrievalAuthors: Ulli WaltingerPub/Conf: PhD-Thesis, 2011 Abstract:In this thesis we analyze the performance of social semantics in textual information retrieval. By means of collaboratively constructed knowledge derived from web-based social networks, inducing both common-sense and…
Interfacing Virtual Agents With Collaborative Knowledge: Open Domain Question Answering Using Wikipedia-based Topic Models
Abstract: This paper is concerned with the use of conversational agents as an interaction paradigm for accessing open domain encyclopedic knowledge by means of Wikipedia. More precisely, we describe a dialog-based question answering system for German which utilizes Wikipedia-based topic…
Harvesting Wikipedia Knowledge to Identify Topics in Ongoing Natural Language Dialogs
Title: Harvesting Wikipedia Knowledge to Identify Topics in Ongoing Natural Language DialogsAuthors: Breuing A, Waltinger U, Wachsmuth IPub/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 model harvesting the…
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?…
GermanPolarityClues: A Lexical Resource for German Sentiment Analysis
Title: GermanPolarityClues: A Lexical Resource for German Sentiment Analysis Authors: Ulli Waltinger Pub/Conf: International Conference on Language Resources and Evaluation, LREC 2010, 17-23 May 2010 Abstract: In this paper, we propose GermanPolarityClues, a new publicly available lexical resource for sentiment analysis…
