Abstract:This paper describes USI Answers — a natural language question answering system for enterprise data. We report on the progress towards the goal of offering easy access to enterprise data to a large number of business users, most of whom…
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…
Abstract: In this paper, we present a linked data-driven method for named entity recognition and disambiguation which is applied within an industry customer and competitor analysis application. The proposed algorithm primarily targets the domain of geoparsing and geocoding, but it…
Abstract: Research results in the field of Question Answering (QA) have shown that the classification of natural language questions significantly contributes to the accuracy of the generated answers. In this paper we present an approach which extends the prevalent question…
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 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…
Title: MLSA – A Multi-layered Reference Corpus for German Sentiment Analysis Authors: Simon Clematide , Stefan Gindl , Manfred Klenner , Stefanos Petrakis , Robert Remus , Josef Ruppenhofer , Ulli Waltinger , Michael Wiegand Pub/Conf: Proceedings of the Eighth…
Title: Exploring Resources for Lexical Chaining: A Comparison of Automated Semantic Relatedness Measures and Human Judgements Authors: Irene Cramer, Tonio Wandmacher, and Ulli Waltinger Pub/Conf: Modeling, Learning and Processing of Text Technological Data Structures. Mehler A, Henning Lobin and Harald Lüngen…
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…
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…
