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See detailEmbedding of the Personalized Sentiment Engine PERSEUS in an Artificial Companion
Guo, Siwen UL; Schommer, Christoph UL

in International Conference on Companion Technology, Ulm 11-13 September 2017 (2017, September)

The term Artificial Companion has originally been introduced by Y. Wilks [1] as “...an intelligent and helpful cognitive agent, which appears to know its owner and their habits, chats to them and diverts ... [more ▼]

The term Artificial Companion has originally been introduced by Y. Wilks [1] as “...an intelligent and helpful cognitive agent, which appears to know its owner and their habits, chats to them and diverts them, assists them with simple tasks. . . ”. To serve the users’ interests by considering a personal knowledge is, furthermore, demanded. The following position paper takes this request as motivation for the embedding of the PERSEUS system, which is a personalized sentiment framework based on a Deep Learning approach. We discuss how such an embedding with a group of users should be realized and why the utilization of PERSEUS is beneficial. [less ▲]

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See detailProceedings of the 2nd International Workshop on Exploring Old Maps
van Dijk, Thomas; Schommer, Christoph UL

Book published by University of Würzburg - 2nd (2017)

Many libraries own an extensive collection of historical maps. Beside their value as historical objects, these maps are an important source of information for researchers in various scientific disciplines ... [more ▼]

Many libraries own an extensive collection of historical maps. Beside their value as historical objects, these maps are an important source of information for researchers in various scientific disciplines. This ranges from the actual history of cartography and general history to the geographic and social sciences. With the progressing digitisation of libraries and archives, these maps become more easily available to a larger public. A basic level of digitisation consists of scanned bitmap images, tagged with some basic bibliographic information such as title, author and year of production. In order to make the maps more accessible, further metadata describing the contained information is desirable. This would enable more user-friendly interfaces, relevant queries of a database, and automatic analyses. This international workshop provides a forum for the communication of results that may be useful to the community. Researchers and practitioners of many areas working on unlocking the content of old maps have contributed to this year’s program — humanities scholars, developers, computer and information scientists and map enthusiasts. [less ▲]

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See detailQ&A with Data Scientists: Christopher Schommer
Schommer, Christoph UL

in Operational Database Management Systems (2017)

Interviews with Data Scientists; see: http://www.odbms.org/2017/01/qa-with-data-scientists-christopher-schommer/

Detailed reference viewed: 54 (3 UL)
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See detailGeoreferencing of Place Markers in Digitized Early Maps by Using Similar Maps as Data Source
Höhn, Winfried UL; Schommer, Christoph UL

in Digital Humanities 2017: Conference Abstracts (2017)

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See detailRAT 2.0
Höhn, Winfried UL; Schommer, Christoph UL

in Digital Humanities 2017: Conference Abstracts (2017)

Detailed reference viewed: 47 (3 UL)
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See detailFacteurs psychologiques, cognitifs et les influences contextuelles dans la douleur et la souffrance liée à la douleur
Bustan, Smadar; Gonzalez-Roldan, Ana Maria; Schommer, Christoph UL et al

Poster (2016, November)

Detailed reference viewed: 27 (2 UL)
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See detailAnnotating and Georeferencing of Digitized Early Maps
Höhn, Winfried UL; Schommer, Christoph UL

Poster (2016, July)

Original early maps are usually only accessible for a small group of researchers and librarians because they are very old and sensitive, and could be easily destroyed. However, they are a valuable ... [more ▼]

Original early maps are usually only accessible for a small group of researchers and librarians because they are very old and sensitive, and could be easily destroyed. However, they are a valuable knowledge source for historical research, because they are also political and cultural evidences of its time. In the age of Digital Humanities, online access and information search in digitized historical documents and early maps allows people from all over the world to work with such artefacts of cultural heritage. However, the digitization solely generates images of the artefacts without any access to the semantics of the documents. [less ▲]

Detailed reference viewed: 63 (10 UL)
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See detailProceedings International Workshop Exploring Old Maps 2016
van Dijk, Thomas; Schommer, Christoph UL

Book published by University of Luxembourg (2016)

Many libraries own an extensive collection of historical maps. Beside their value as historical objects, these maps are an important source of information for researchers in various scientific disciplines ... [more ▼]

Many libraries own an extensive collection of historical maps. Beside their value as historical objects, these maps are an important source of information for researchers in various scientific disciplines. This ranges from the actual history of cartography and general history to the geographic and social sciences. With the progressing digitisation of libraries and archives, these maps become more easily available to a larger public. A basic level of digitisation consists of scanned bitmap images, tagged with some basic bibliographic information such as title, author and year of production. In order to make the maps more accessible, further metadata describing the contained information is desirable. This would enable more user-friendly interfaces, relevant queries of a database, and automatic analyses. The International Workshop on Exploring Old Maps provides a forum for the communication of results that may be useful to the community. Researchers and practitioners of many areas working on unlocking the content of old maps have contributed to this year’s program - humanities scholars, developers, computer and information scientists as well as librarians, archivists and curators. [less ▲]

Detailed reference viewed: 63 (6 UL)
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See detailRAT: A Referencing and Annotation Tool for Digitized Early Maps
Höhn, Winfried UL; Schommer, Christoph UL

Scientific Conference (2016, June)

RAT is designed to support users in identifying place markers in digitised early maps and to link these place markers to modern maps. RAT facilitates a geo-referencing by suggesting the most likely modern ... [more ▼]

RAT is designed to support users in identifying place markers in digitised early maps and to link these place markers to modern maps. RAT facilitates a geo-referencing by suggesting the most likely modern places based on an estimated mapping and a phonetic search for place names. [less ▲]

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See detailInteraction Profiles for an Artificial Conversational Companion
Höhn, Sviatlana UL; Busemann, Stephan; Max, Charles UL et al

Scientific Conference (2015, September)

Using Artificial Companions for tasks requiring long-term interaction like language learning or coaching can be approached by creating local computational models for particular interaction structures, and ... [more ▼]

Using Artificial Companions for tasks requiring long-term interaction like language learning or coaching can be approached by creating local computational models for particular interaction structures, and models reflecting changes in interaction over time. An Artificial Conversational Companion (ACC) that helps to practice conversation in a foreign language is expected to play the role of a language expert in conversation. We apply methods of Conversation Analysis to obtain data- driven models of interaction profiles for language experts and language novices from a corpus of instant messaging based dialogues between native speakers of German and advanced learners of German as a foreign language. We show different ways how the artificial agent can simulate ”doing being expert” in conversation and promote learning. [less ▲]

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See detailSentiment Barometer in Financial News
Schommer, Christoph UL

Report (2014)

This booklet is a collection of project reports written by graduate students, who have participated the course "Machine Learning" in Winter Term 2013/14. Here, we have concerned Financial News Documents ... [more ▼]

This booklet is a collection of project reports written by graduate students, who have participated the course "Machine Learning" in Winter Term 2013/14. Here, we have concerned Financial News Documents regarding the Irish Financial Crisis in the years of 2009 - 2013. We have studied different forms of sentiments, for example with StoryTakes, Alerts, Headlines, authors, and others. [less ▲]

Detailed reference viewed: 92 (8 UL)
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See detailFinding Outliers in Satellite Patterns by Learning Pattern Identities
Bouleau, Fabien; Schommer, Christoph UL

in Filipe, Joacquim; Fred, Ana (Eds.) Proceedings "6th International Conference on Agents an Artificial Intelligence" (2014, January)

Spacecrafts provide a large set of on-board components information such as their temperature, power and pressure. This information is constantly monitored by engineers, who capture the outliers and ... [more ▼]

Spacecrafts provide a large set of on-board components information such as their temperature, power and pressure. This information is constantly monitored by engineers, who capture the outliers and determine whether the situation is abnormal or not. However, due to the large quantity of information, only a small part of the data is being processed or used to perform anomaly prediction. A common accepted research concept for anomaly prediction as described in literature yields on using projections, based on probabilities, estimated on learned patterns from the past (Fujimaki et al., 2005) and data mining methods to enhance the conventional diagnosis approach (Li et al., 2010). Most of them conclude on the need to build a status vector. We propose an algorithm for efficient outlier detection that builds an identity chart of the patterns using the past data based on their curve fitting information. It detects the functional units of the patterns without apriori knowledge with the intent to learn its structure and to reconstruct the sequence of events described by the signal. On top of statistical elements, each pattern is allotted a characteristics chart. This pattern identity enables fast pattern matching across the data. The extracted features allow classification with regular clustering methods like support vector machines (SVM). The algorithm has been tested and evaluated using real satellite telemetry data. The outcome and performance show promising results for faster anomaly prediction. [less ▲]

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See detailA Hidden Markov Model to detect relevance in nancial documents based on on/off topics
Kampas, Dimitrios UL; Schommer, Christoph UL; Sorger, Ulrich UL

in European Conference on Data Analysis (2014)

Automated text classification has gained a significant attention since a vast amount of documents in digital forms are widespread and continuously increasing. Most of the standard classification posit the ... [more ▼]

Automated text classification has gained a significant attention since a vast amount of documents in digital forms are widespread and continuously increasing. Most of the standard classification posit the independence of the terms-features in document, which is unrealistic considering the sophisticated structure of the language. Our research concerns the discovery of relevance in documents, which adequately refers to a sufficient number of thematic themes (or topics) that are either `on' or `off'. `On topics' are semantically close with a domain specific discourse, whereas `Off topics' are not considered to be on documents. As a rather promising approach, we have modelled a stochastic process for term sequences, where each term is conditionally dependent of its preceeding terms. Hidden Markov Models hereby provide a reliable potential to incorporate language and domain dependencies for a classification. Terms are deterministically associated with classes to improve the probability estimates for the infrequent words. In the paper presentation, we demonstrate our approach and motivate its eligibility by the exploration of annotated Thomson Reuters news documents; in particular, the `on topic' documents discourse the monetary policy of Federal Reserves. We estimate the transition and emission probabilities of our model on a training set of both on and off topic documents and evaluate the accuracy of our approach using 10-fold cross validation. This work is part of the interdisciplinary research project ESCAPE, which is funded by the Fonds National de la Recherche. We kindly thank our colleagues from the Dept. of Finance for their support. [less ▲]

Detailed reference viewed: 201 (47 UL)
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See detailNews Representation with Multi-Word Features
Minev, Mihail UL; Schommer, Christoph UL

in Proceedings ECDA (2013, July)

Detailed reference viewed: 55 (18 UL)
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See detailDomain-driven news representation using conditional attribute-value pairs
Minev, Mihail UL; Schommer, Christoph UL

in Ferro, Nicola (Ed.) PROMISE Winter School 2013: Bridging between Information Retrieval and Databases (2013)

Detailed reference viewed: 40 (12 UL)
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See detailOutlier Identification in Spacecraft Monitoring Data using Curve Fitting Information
Bouleau, Fabien; Schommer, Christoph UL

in Proceedings ECDA (2013)

Detailed reference viewed: 89 (7 UL)
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See detailTowards Computational Models for a Long-term Interaction with an Artificial Conversational Companion
Danilava, Sviatlana UL; Busemann, Stephan; Schommer, Christoph UL et al

in Proceedings "5th International Conference on Agents an Artificial Intelligence" (2013)

Detailed reference viewed: 78 (7 UL)
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See detailWhy are you Silent? - Towards Responsiveness in Chatbots
Danilava, Sviatlana UL; Busemann, Stephan; Schommer, Christoph UL et al

in Avec le Temps! Time, Tempo, and Turns in Human-Computer Interaction". Workshop at CHI 2013, Paris, France (2013)

In this position paper we consider temporal phenomena in interaction with text-based conversational agents. In particular, we focus on two dimensions of time in instant messaging dialogues: responsiveness ... [more ▼]

In this position paper we consider temporal phenomena in interaction with text-based conversational agents. In particular, we focus on two dimensions of time in instant messaging dialogues: responsiveness as a measure for interaction placed in time, and interaction management performed by interaction participants caused by partner's exceeding of the maximum expected responsiveness. [less ▲]

Detailed reference viewed: 150 (6 UL)