Publications - BibTeX
@inproceedings{Nam:2011:a,
author = {Jinseok Nam, Kirsten Bergmann, Ulli Waltinger, Stefan Kopp, Ipke Wachsmuth, and Byoung-Tak Zhang},
title = {Deciphering the Communicative Code in Speech and Gesture Dialogues by Autoencoding Hypernetworks},
booktitle = {Proceedings of the Embodied \& Situated Language Processing (ESLP 2011)},
year = {2011},
month = {august},
date = {25-27},
pages = {15},
address = {Bielefeld, Germany},
language = {english},
abstract = {What kinds of grammar or code are used in interactive communications with speech and gestures? How varied or invariant is this code among people in a language community? What types of communicative code facilitate the alignment of the speech and gesture for language understanding?
To study these and other related questions we develop computational techniques using coding theory and machine learning that decipher the communicative code in embodied multimodal interaction. We use data from the SaGA (Bielefeld Speech and Gesture Alignment) corpus which consists of 25 dyads of naturalistic, yet controlled, and systematically annotated speech and gesture use, engaged in a spatial communication task (Luecking, 2010). For the work we present here, a sub-corpus of 5 dyads is employed (473 noun phrases, 288 gestures) combining three kinds of information. First, gesture coding including gestural representation techniques (e.g., drawing, placing) and morphological gesture features (e.g., handshape). Second, a transcription of the spoken words and dialogue contextual information (information state, thematization, elemental actions of direction giving). And third, a coding of the gestures' referent objects and their spatio- geometrical properties (dimensionality, symmetries, etc.).
We formulate the gesture generation problem as an encoding problem and use the unsupervised, autoencoding technique, where the input vector x is transformed by some function f(.;W) to the output vector y which is the same as the input, i.e. y = f(x;W) = x. For transformation we use the hypernetwork graphical architecture. The hypernetwork is a hypergraph structure, where the edges are weighted and represent the subsets of the variables (variables). One advantage of the hypernetwork is that it can capture the compositional structures or code words (or construction grammar rules) in its hypergraph structure. We apply an expectation-maximization style of learning algorithm to build the best autoencoding hypernetwork for the observed gesture-speech dialogue data. Another advantage of the hypernetwork is its generativity, i.e. the hypernetwork model can generate the values of the unknown (unobserved) variables from those of the known (observed) variables by probabilistic inference. This feature is especially useful for artificial communicative agents since the learned hypernetwork can be used to synthesize the gestures for virtual avatars or humanoid robots.}
}
@inproceedings{Waltinger:2011:b,
author = {Ulli Waltinger},
title = {An Empirical Study on Machine Learning-Based Sentiment Classification
Using Polarity Clues},
editor = {Joaquim Filipe and
Jos{\'e} Cordeiro},
booktitle = {Web Information Systems and Technologies - 6th International
Conference, WEBIST 2010, Valencia, Spain, April 7-10, 2010,
Revised Selected Papers},
publisher = {Springer},
series = {Lecture Notes in Business Information Processing},
volume = {75},
year = {2011},
isbn = {978-3-642-22809-4},
pages = {202-214},
abstract = {In recent years a variety of approaches in classifying the sentiment polarity of texts have been proposed. While in the majority of approaches the determination of subjectivity or polarity-related term features is at the center, the number of publicly available dictionaries is rather limited. In this paper, we investigate the performance of combining lexical resources with machine learning based classifier for the task of sentiment classification.We systematically analyze four different English and three different German polarity dictionaries as a resources for a sentiment-based feature selection. The evaluation results show that smaller but more controlled dictionaries used for feature selection perform within a SVM-based classification setup equally good compared to the biggest available resources.}
}
@inproceedings{Breuing:2011:b,
author = {Alexa Breuing, Ulli Waltinger, and Ipke Wachsmuth},
title = {Harvesting Wikipedia Knowledge to Identify Topics in Ongoing Natural Language Dialogs},
booktitle = {In Proceedings of the International Conference on Web Intelligence and Intelligent Agent Technology (WI-IAT 2011)},
year = {2011},
month = {august},
date = {22-27},
address = {Lyon, France},
language = {english},
abstract = {This paper introduces a model harvesting the crowdsourced
encyclopedic knowledge provided by Wikipedia to improve
the conversational abilities of an artificial agent. More
precisely, we present a model for automatic topic identification
in ongoing natural language dialogs. On the basis of a graphbased
representation of theWikipedia category system, our model
implements six tasks essential for detecting the topical overlap of
coherent dialog contributions. Thereby the identification process
operates online to handle dialog streams of constantly changing
topical threads in real-time. The realization of the model and its
application to our conversational agent aims to improve humanagent
conversations by transferring human-like topic awareness
to the artificial interlocutor.}
@inproceedings{Waltinger:2010:a,
author = {Ulli Waltinger},
title = {GermanPolarityClues: A Lexical Resource for German Sentiment Analysis},
booktitle = {Proceedings of the Seventh conference on International Language Resources and Evaluation (LREC'10)},
year = {2010},
month = {may},
date = {19-21},
address = {Valletta, Malta},
editor = {Nicoletta Calzolari (Conference Chair), Khalid Choukri, Bente Maegaard, Joseph Mariani, Jan Odjik, Stelios Piperidis, Mike Rosner, Daniel Tapias},
publisher = {European Language Resources Association (ELRA)},
isbn = {2-9517408-6-7},
language = {english}
}
@incollection{Waltinger:Mehler:2008:a,
author={Ulli Waltinger and Alexander Mehler},
title={Who is it? Context sensitive named entity and instance recognition by means of {Wikipedia}},
booktitle={Proceedings of the 2008 IEEE/WIC/ACM International Conference on Web Intelligence (WI-2008)},
year={2008}
}
@article{Mehler:Gleim:Ernst:Waltinger:2008,
author={Alexander Mehler and Rüdiger Gleim and Alexandra Ernst and Ulli Waltinger},
title={{WikiDB}: Building Interoperable Wiki-Based Knowledge Resources for Semantic Databases},
journal={Appears in: Sprache und Datenverarbeitung. International Journal for Language Data
Processing},
year={2008}
}
@inproceedings{Waltinger:Mehler:Stuehrenberg:2008,
author={Ulli Waltinger and Alexander Mehler and Maik Stührenberg},
title={An Integrated Model of Lexical Chaining: Application, Resources and its Format},
booktitle={Proceedings of KONVENS 2008},
year={2008}
}
@incollection{Waltinger:Mehler:Heyer:2008,
author={Ulli Waltinger and Alexander Mehler and Gerhard Heyer},
title={Towards Automatic Content Tagging: Enhanced Web Services in Digital Libraries Using Lexical Chaining},
booktitle={4rd International Conference on Web Information Systems and Technologies
(WEBIST '08), 4-7 May, Funchal, Portugal},
pages = {231-236},
year={2008},
address={Barcelona}
}
@inproceedings{Mehler:Waltinger:Wegner:2007:a,
author={Mehler, Alexander and Waltinger, Ulli and Wegner, Armin},
title={A Formal Text Representation Model Based on Lexical Chaining},
booktitle={Proceedings of the KI 2007 Workshop on Learning from Non-Vectorial Data (LNVD 2007) September 10, Osnabrück},
pages={17-26},
address={Osnabrück},
publisher={Universität Osnabrück},
year={2007}
}
@inproceedings{Waltinger:Mehler:2009:b,
author = {Ulli Waltinger and Alexander Mehler and Armin Wegner},
booktitle = {Proceedings of the 5th International Conference on Web Information Systems and Technologies (WEBIST '09)},
editor = {Joaquim Filipe and José Cordeiro},
pages = {689-692},
publisher = {INSTICC Press},
title = {A Two-level Approach to Web Genre Classification.},
date = {2009}
}
@inproceedings{Waltinger:Mehler:2009:b,
author={Ulli Waltinger and Alexander Mehler},
title={The Feature Difference Coefficient: Classification by Means of Feature Distributions},
year={2009},
booktitle={Proceedings of Text Mining Services (TMS), March 23-25, Leipzig, Germany}
}
@inproceedings{Mehler:Gleim:Waltinger:Ernst:Esch:Feith:2009,
author={Alexander Mehler and R{\"u}diger Gleim and Ulli Waltinger and Alexandra Ernst and Dietmar Esch and Tobias Feith},
title={eHumanities Desktop - eine webbasierte Arbeitsumgebung f{\"u}r die geistes-wissenschaftliche Fachinformatik},
booktitle={Proceedings of the Symposium Sprachtechnologie und eHumanities, 26. and 27. February, Duisburg-Essen University},
year={2009}
}
@inproceedings{Gleim:Waltinger:Ernst:Mehler:Esch:Feith:2009,
author={R{\"u}diger Gleim and Ulli Waltinger and Alexandra Ernst and Alexander Mehler and Dietmar Esch and Tobias Feith},
title={The eHumanities Desktop - An Online System for Corpus Management and Analysis in Support of Computing in the Humanities},
booktitle={Proceedings of the Demonstrations Session of the 12th Conference of the European Chapter of the Association for Computational Linguistics {EACL} 2009, 30 March -- 3 April, Athens},
year={2009}
}
@inproceedings{Gleim:Mehler:Waltinger:2009:a,
author={R{\"u}diger Gleim and Alexander Mehler and Ulli Waltinger and Hans-J{\"u}rgen Eikmeyer and Peter Menke and Christian Groszewski},
title={eHumanities Desktop — An extensible Online System for Corpus Management and Analysis},
booktitle={Proceedings of the Corpus Linguistics 2009 Conference, July 22-23, Liverpool, UK},
year={2009}
}
@inproceedings{Waltinger:Cramer:Wandmacher:2009:a,
author={Ulli Waltinger and Irene Cramer and Tonio Wandmacher},
title={From Social Networks To Distributional Properties: A Comparative Study On Computing Semantic Relatedness},
booktitle={Proceedings of the 31th Annual Conference of the Cognitive Science Society},
pages={3016-3021},
editor={N.A. Taatgen and H. van Rijn},
publisher={Cognitive Science Society},
address={Austin, TX},
year={2009}
}
@inproceedings{Waltinger:Mehler:2009:c,
author={Ulli Waltinger and Alexander Mehler and R{\"u}diger Gleim},
title={Social Semantics And Its Evaluation By Means of Closed Topic Models: An SVM-Classification Approach Using Semantic Feature Replacement By Topic Generalization},
booktitle={Proceedings of the GSCL-Conference, Potsdam (DE), 2009.},
year={2009}
}
@inproceedings{Waltinger:Mehler:2009:d,
author={Ulli Waltinger and Alexander Mehler},
title={Social Semantics And Its Evaluation By Means Of Semantic Relatedness And Open Topic Models},
booktitle={Proceedings of the 2009 IEEE/WIC/ACM International Conference on Web Intelligence},
year={2009}
}
@inproceedings{Waltinger:2009:a,
author={Ulli Waltinger},
title={Polarity Reinforcement: Sentiment Polarity Identification By Means Of Social Semantics},
booktitle={Proceedings of the IEEE Africon 2009, September 23-25, Nairobi, Kenya},
year={2009}
}
@article{Mehler:Waltinger:2009:b,
author={Alexander Mehler and Ulli Waltinger},
title={Enhancing Document Modeling by Means of Open Topic Models: Crossing the Frontier of Classification Schemes in Digital Libraries by Example of the {DDC}},
journal={Library Hi Tech},
year={2009}
}
@InProceedings{Mehler:Job:Blanchard:Waltinger:Diewald:Esch:Pustylnikov:Kuechelmann:2010,
author = {Alexander Mehler and Nils Diewald and Ulli Waltinger and Rüdiger Gleim and Dietmar Esch and Barbara Job and Thomas Küchelmann and Olga Pustylnikov and Philippe Blanchard},
title = {Evolution of {Romance} Language in Written Communication: Network Analysis of Late {Latin} and Early {Romance} Corpora},
booktitle={Arts | Humanities | Complex Networks --- a {Leonardo} satellite symposium at the International School and Conference on Network Science (NetSci 2010)},
year={2010},
address={Boston},
pdf={http://ariadne.coli.uni-bielefeld.de/mehler/data/pdf/mehler_diewald_waltinger_gleim_esch_job_kuechelmann_pustylnikov_blanchard_2010.pdf}
}
@incollection{Mehler:Gleim:Waltinger:Diewald:2010,
author={Alexander Mehler and Rüdiger Gleim and Ulli Waltinger and Nils Diewald},
title={Time Series of Linguistic Networks by Example of the {Patrologia Latina}},
booktitle={Proceedings of INFORMATIK 2010: Service Science, September 27 - October 01, 2010, Leipzig},
year={2010},
publisher={GI},
volume={2},
editor={Klaus-Peter Fähnrich and Bogdan Franczyk},
pages={609-616},
series={Lecture Notes in Informatics},
}