- „Ein Studenten-Witz erobert das Internet“ – Saarbrücker Zeitung 25.06.2013
- „Post-Privacy: Zukunftsvision oder Alptraum“ – freiraum 03/2012
- Monatsmagazin „champus“ 07/2012 – 07/2013 – AStA Uni Saarland [Hrsg.]
- „AStA-Studienführer 2012/13“ – AStA Uni Saarland [Hrsg.]
- „Das „Bud Spencer“-Phänomen – Mitbestimmung im Internet: Ja bitte, aber nur wenn das Ergebnis stimmt!“ – freiraum 03/2011
- „Gute Karten für die Zukunft? – Die elektronische Gesundheitskarte auf dem technischen Prüfstand“ – freiraum 01/2011
- „Ökotante vs. Marktfetischist“ – politikorange 04/2010
- „Generation Global im Bundestag“ – Das Parlament 22.03.2010
Wissenschaftlich
2020 |
Braun., Daniel; Matthes., Florian Automatic Detection of Terms and Conditions in German and English Online Shops Konferenz Proceedings of the 16th International Conference on Web Information Systems and Technologies - Volume 1: WEBIST,, INSTICC SciTePress, 2020, ISBN: 978-989-758-478-7. @conference{webist20, title = {Automatic Detection of Terms and Conditions in German and English Online Shops}, author = {Daniel Braun. and Florian Matthes.}, url = {https://www.daniel-braun.com/wp-content/uploads/2020/11/WEBIST_2020_37-2.pdf}, doi = {10.5220/0010154302330237}, isbn = {978-989-758-478-7}, year = {2020}, date = {2020-11-16}, booktitle = {Proceedings of the 16th International Conference on Web Information Systems and Technologies - Volume 1: WEBIST,}, pages = {233-237}, publisher = {SciTePress}, organization = {INSTICC}, keywords = {}, pubstate = {published}, tppubtype = {conference} } |
Braun, Daniel; Bhat, Manoj; Biesdorf, Andreas; Matthes, Florian Would You Lie To Me Bot? Supporting Decision-Making Processes with Deceiving Virtual Agents Artikel Procedia Computer Science, 177 , S. 587 - 592, 2020, ISSN: 1877-0509. @article{BRAUN2020587, title = {Would You Lie To Me Bot? Supporting Decision-Making Processes with Deceiving Virtual Agents}, author = {Daniel Braun and Manoj Bhat and Andreas Biesdorf and Florian Matthes}, url = {http://www.sciencedirect.com/science/article/pii/S1877050920323541 https://www.daniel-braun.com/wp-content/uploads/2020/11/1-s2.0-S1877050920323541-main.pdf}, doi = {https://doi.org/10.1016/j.procs.2020.10.083}, issn = {1877-0509}, year = {2020}, date = {2020-11-11}, journal = {Procedia Computer Science}, volume = {177}, pages = {587 - 592}, abstract = {Although we learn as children that "you shall not lie", it is widely accepted that deceptions and lies are necessary, yet unloved, parts of human communication. They are part of the clay that holds together the bricks of our society. In human-computer interaction, however, deceiving machines are seen as a taboo. In this paper, we want to challenge this perception by describing a virtual agent that improves decision-making processes by deceiving decision-makers in a controlled manner. A first survey we conducted shows that such a bot could indeed lead to a more informed decision-making process.}, keywords = {}, pubstate = {published}, tppubtype = {article} } Although we learn as children that "you shall not lie", it is widely accepted that deceptions and lies are necessary, yet unloved, parts of human communication. They are part of the clay that holds together the bricks of our society. In human-computer interaction, however, deceiving machines are seen as a taboo. In this paper, we want to challenge this perception by describing a virtual agent that improves decision-making processes by deceiving decision-makers in a controlled manner. A first survey we conducted shows that such a bot could indeed lead to a more informed decision-making process. |
Klimt, Kira; Braun, Daniel; Schneider, Daniela; Matthes, Florian MucLex: A German Lexicon for Surface Realisation Inproceedings Proceedings of The 12th Language Resources and Evaluation Conference, S. 4655–4659, European Language Resources Association, Marseille, France, 2020, ISBN: 979-10-95546-34-4. @inproceedings{klimt-etal-2020-muclex, title = {MucLex: A German Lexicon for Surface Realisation}, author = {Kira Klimt and Daniel Braun and Daniela Schneider and Florian Matthes}, url = {https://www.daniel-braun.com/wp-content/uploads/2020/05/2020.lrec-1.572.pdf https://www.aclweb.org/anthology/2020.lrec-1.572}, isbn = {979-10-95546-34-4}, year = {2020}, date = {2020-05-01}, booktitle = {Proceedings of The 12th Language Resources and Evaluation Conference}, pages = {4655--4659}, publisher = {European Language Resources Association}, address = {Marseille, France}, abstract = {Language resources for languages other than English are often scarce. Rule-based surface realisers need elaborate lexica in order to be able to generate correct language, especially in languages like German, which include many irregular word forms. In this paper, we present MucLex, a German lexicon for the Natural Language Generation task of surface realisation, based on the crowd-sourced online lexicon Wiktionary. MucLex contains more than 100,000 lemmata and more than 670,000 different word forms in a well-structured XML file and is available under the Creative Commons BY-SA 3.0 license.}, keywords = {}, pubstate = {published}, tppubtype = {inproceedings} } Language resources for languages other than English are often scarce. Rule-based surface realisers need elaborate lexica in order to be able to generate correct language, especially in languages like German, which include many irregular word forms. In this paper, we present MucLex, a German lexicon for the Natural Language Generation task of surface realisation, based on the crowd-sourced online lexicon Wiktionary. MucLex contains more than 100,000 lemmata and more than 670,000 different word forms in a well-structured XML file and is available under the Creative Commons BY-SA 3.0 license. |
Klymenko, Oleksandra; Braun, Daniel; Matthes, Florian Automatic Text Summarization: A State-of-the-Art Review Inproceedings Proceedings of the 22nd International Conference on Enterprise Information Systems - Volume 1: ICEIS,, S. 648-655, INSTICC SciTePress, 2020, ISBN: 978-989-758-423-7. @inproceedings{Klymenko2020, title = {Automatic Text Summarization: A State-of-the-Art Review}, author = {Oleksandra Klymenko and Daniel Braun and Florian Matthes}, url = {https://www.daniel-braun.com/wp-content/uploads/2020/05/ICEIS_2020_242.pdf}, doi = {10.5220/0009723306480655}, isbn = {978-989-758-423-7}, year = {2020}, date = {2020-01-01}, booktitle = {Proceedings of the 22nd International Conference on Enterprise Information Systems - Volume 1: ICEIS,}, pages = {648-655}, publisher = {SciTePress}, organization = {INSTICC}, keywords = {}, pubstate = {published}, tppubtype = {inproceedings} } |
Braun, Daniel; Sajwan, Anupama; Matthes, Florian User-adaptable Natural Language Generation for Regression Testing within the Finance Domain Inproceedings Proceedings of the 22nd International Conference on Enterprise Information Systems - Volume 1: ICEIS,, S. 613-618, INSTICC SciTePress, 2020, ISBN: 978-989-758-423-7. @inproceedings{iceis20b, title = {User-adaptable Natural Language Generation for Regression Testing within the Finance Domain}, author = {Daniel Braun and Anupama Sajwan and Florian Matthes}, url = {https://www.daniel-braun.com/wp-content/uploads/2020/05/ICEIS_2020_198.pdf}, doi = {10.5220/0009563306130618}, isbn = {978-989-758-423-7}, year = {2020}, date = {2020-01-01}, booktitle = {Proceedings of the 22nd International Conference on Enterprise Information Systems - Volume 1: ICEIS,}, pages = {613-618}, publisher = {SciTePress}, organization = {INSTICC}, keywords = {}, pubstate = {published}, tppubtype = {inproceedings} } |
2019 |
Braun, Daniel; Scepankova, Elena; Holl, Patrick; Matthes, Florian The Potential of Customer-Centered LegalTech Artikel Datenschutz und Datensicherheit - DuD, 43 (12), S. 760–766, 2019, ISSN: 1862-2607. @article{Braun2019c, title = {The Potential of Customer-Centered LegalTech}, author = {Daniel Braun and Elena Scepankova and Patrick Holl and Florian Matthes}, url = {https://doi.org/10.1007/s11623-019-1202-7}, doi = {10.1007/s11623-019-1202-7}, issn = {1862-2607}, year = {2019}, date = {2019-12-01}, journal = {Datenschutz und Datensicherheit - DuD}, volume = {43}, number = {12}, pages = {760--766}, abstract = {New technologies and tools, often summarised under the term ``LegalTech,,, are changing the way inwhich legal professionals work. The digital transformation has changed many aspects of our daily life anddemocratised access to knowledge and services. In the legal domain, however, consumers rarely benefit fromdigitisation. On the contrary, they are often overpowered by big corporations and their well-equipped legaldepartments. In this paper, we outline how LegalTech can be used to empower consumers in the digital era,by building tools to support consumers and those who protect them. In order to show the potential of customer-centredLegalTech, we present two prototypes which semantically analyse, assess, and summarise Terms of Servicesfrom German web shops.}, keywords = {}, pubstate = {published}, tppubtype = {article} } New technologies and tools, often summarised under the term ``LegalTech,,, are changing the way inwhich legal professionals work. The digital transformation has changed many aspects of our daily life anddemocratised access to knowledge and services. In the legal domain, however, consumers rarely benefit fromdigitisation. On the contrary, they are often overpowered by big corporations and their well-equipped legaldepartments. In this paper, we outline how LegalTech can be used to empower consumers in the digital era,by building tools to support consumers and those who protect them. In order to show the potential of customer-centredLegalTech, we present two prototypes which semantically analyse, assess, and summarise Terms of Servicesfrom German web shops. |
Braun, Daniel; Klimt, Kira; Schneider, Daniela; Matthes, Florian SimpleNLG-DE: Adapting SimpleNLG 4 to German Inproceedings Proceedings of the 12th International Conference on Natural Language Generation, S. 415–420, Tokyo, Japan, 2019. @inproceedings{braun-etal-2019-simplenlg, title = {SimpleNLG-DE: Adapting SimpleNLG 4 to German}, author = {Daniel Braun and Kira Klimt and Daniela Schneider and Florian Matthes}, url = {https://www.aclweb.org/anthology/W19-8651 https://www.daniel-braun.com/wp-content/uploads/2019/12/W19-8651.pdf}, year = {2019}, date = {2019-11-01}, booktitle = {Proceedings of the 12th International Conference on Natural Language Generation}, pages = {415--420}, address = {Tokyo, Japan}, abstract = {SimpleNLG is a popular open source surface realiser for the English language. For German, however, the availability of open source and non-domain specific realisers is sparse, partly due to the complexity of the German language. In this paper, we present SimpleNLG-DE, an adaption of SimpleNLG to German. We discuss which parts of the German language have been implemented and how we evaluated our implementation using the TIGER Corpus and newly created data-sets.}, keywords = {}, pubstate = {published}, tppubtype = {inproceedings} } SimpleNLG is a popular open source surface realiser for the English language. For German, however, the availability of open source and non-domain specific realisers is sparse, partly due to the complexity of the German language. In this paper, we present SimpleNLG-DE, an adaption of SimpleNLG to German. We discuss which parts of the German language have been implemented and how we evaluated our implementation using the TIGER Corpus and newly created data-sets. |
Braun, Daniel; Scepankova, Elena; Holl, Patrick; Matthes, Florian Consumer Protection in the Digital Era: The Potential of Customer-Centered LegalTech Inproceedings David, Klaus; Geihs, Kurt; Lange, Martin; Stumme, Gerd (Hrsg.): INFORMATIK 2019: 50 Jahre Gesellschaft für Informatik – Informatik für Gesellschaft, S. 407-420, Gesellschaft für Informatik e.V., Bonn, 2019, ISBN: 978-3-88579-688-6. @inproceedings{mci/Braun2019, title = {Consumer Protection in the Digital Era: The Potential of Customer-Centered LegalTech}, author = {Daniel Braun and Elena Scepankova and Patrick Holl and Florian Matthes}, editor = {Klaus David and Kurt Geihs and Martin Lange and Gerd Stumme}, url = {https://www.daniel-braun.com/wp-content/uploads/2019/09/paper4_09.pdf}, doi = {10.18420/inf2019_58}, isbn = { 978-3-88579-688-6}, year = {2019}, date = {2019-09-17}, booktitle = {INFORMATIK 2019: 50 Jahre Gesellschaft für Informatik – Informatik für Gesellschaft}, pages = {407-420}, publisher = {Gesellschaft für Informatik e.V.}, address = {Bonn}, abstract = {New technologies and tools, often summarised under the term “LegalTech”, are changing the way in which legal professionals work. The digital transformation has changed many aspects of our daily life and democratised access to knowledge and services. In the legal domain, however, consumers rarely benefit from digitisation. On the contrary, they are often overpowered by big corporations and their well equipped legal departments. In this paper, we outline how LegalTech can be used to empower consumers in the digital era, by building tools to support consumers and those who protect them. In order to show the potential of customer-centered LegalTech, we present two prototypes which semantically analyse, assess, and summarise Terms of Services from German web shops.}, keywords = {}, pubstate = {published}, tppubtype = {inproceedings} } New technologies and tools, often summarised under the term “LegalTech”, are changing the way in which legal professionals work. The digital transformation has changed many aspects of our daily life and democratised access to knowledge and services. In the legal domain, however, consumers rarely benefit from digitisation. On the contrary, they are often overpowered by big corporations and their well equipped legal departments. In this paper, we outline how LegalTech can be used to empower consumers in the digital era, by building tools to support consumers and those who protect them. In order to show the potential of customer-centered LegalTech, we present two prototypes which semantically analyse, assess, and summarise Terms of Services from German web shops. |
Braun, Daniel ; Matthes, Florian Towards a Framework for Classifying Chatbots Inproceedings INSTICC, (Hrsg.): Proceedings of the 21th International Conference on Enterprise Information Systems (ICEIS 2019), S. 484-489, SCITEPRESS, Heraklion, Greece, 2019, ISBN: 978-989-758-372-8. @inproceedings{Braun2019ChatbotClassification, title = {Towards a Framework for Classifying Chatbots}, author = {Braun, Daniel and Matthes, Florian}, editor = {INSTICC}, url = {https://www.daniel-braun.com/wp-content/uploads/2019/05/ICEIS_2019_ChatbotClassification_Braun.pdf}, isbn = {978-989-758-372-8}, year = {2019}, date = {2019-05-02}, booktitle = {Proceedings of the 21th International Conference on Enterprise Information Systems (ICEIS 2019)}, volume = {1}, pages = {484-489}, publisher = {SCITEPRESS}, address = {Heraklion, Greece}, abstract = {From sophisticated personal voice assistants like Siri or Alexa to simplistic keyword-based search bots, today, the label "chatbot" is used broadly for all kinds of systems that use natural language as input. However, the systems summarized under this term are so diverse, that they often have very little in common with regard to technology, usage, and their theoretical background. In order to make such systems more comparable, we propose a framework that classifies chatbots based on six categories, which allow a meaningful comparison based on features which are relevant for developers, scientists, and users. Ultimately, we hope to support the scientific discourse, as well as the development of chatbots, by providing an instrument to classify and analyze different groups of chatbot systems regarding their requirements, possible evaluation strategies, available toolsets, and other common features.}, keywords = {}, pubstate = {published}, tppubtype = {inproceedings} } From sophisticated personal voice assistants like Siri or Alexa to simplistic keyword-based search bots, today, the label "chatbot" is used broadly for all kinds of systems that use natural language as input. However, the systems summarized under this term are so diverse, that they often have very little in common with regard to technology, usage, and their theoretical background. In order to make such systems more comparable, we propose a framework that classifies chatbots based on six categories, which allow a meaningful comparison based on features which are relevant for developers, scientists, and users. Ultimately, we hope to support the scientific discourse, as well as the development of chatbots, by providing an instrument to classify and analyze different groups of chatbot systems regarding their requirements, possible evaluation strategies, available toolsets, and other common features. |
2018 |
Braun, Daniel; Faber, Anne; Hernandez-Mendez, Adrian; Matthes, Florian Automatic Relation Extraction for Building Smart City Ecosystems using Dependency Parsing Inproceedings Proceedings of the 2nd Workshop on Natural Language for Artificial Intelligence (NL4AI 2018), 2018. @inproceedings{Br18e, title = {Automatic Relation Extraction for Building Smart City Ecosystems using Dependency Parsing}, author = {Daniel Braun and Anne Faber and Adrian Hernandez-Mendez and Florian Matthes}, year = {2018}, date = {2018-11-14}, booktitle = {Proceedings of the 2nd Workshop on Natural Language for Artificial Intelligence (NL4AI 2018)}, abstract = {Understanding and analysing rapidly changing and growing business ecosystems, like smart city and mobility ecosystems, becomes increasingly difficult. However, the understanding of these ecosystems is the key to being successful for all involved parties, like companies and public institutions. Modern Natural Language Processing technologies can help to automatically identify and extract relevant information from sources like online news and blog articles and hence support the analysis of complex ecosystems. In this paper, we present an approach to automatically extract directed relations between entities within business ecosystems from online news and blog articles by using dependency parsing .}, keywords = {}, pubstate = {published}, tppubtype = {inproceedings} } Understanding and analysing rapidly changing and growing business ecosystems, like smart city and mobility ecosystems, becomes increasingly difficult. However, the understanding of these ecosystems is the key to being successful for all involved parties, like companies and public institutions. Modern Natural Language Processing technologies can help to automatically identify and extract relevant information from sources like online news and blog articles and hence support the analysis of complex ecosystems. In this paper, we present an approach to automatically extract directed relations between entities within business ecosystems from online news and blog articles by using dependency parsing . |
Braun, Daniel; Reiter, Ehud; Siddharthan, Advaith SaferDrive: An NLG-based behaviour change support system for drivers Artikel Natural Language Engineering, 24 (4), S. 551-588, 2018. @article{braun_reiter_siddharthan_2018, title = {SaferDrive: An NLG-based behaviour change support system for drivers}, author = {Daniel Braun and Ehud Reiter and Advaith Siddharthan}, editor = {Cambridge University Press}, url = {https://www.daniel-braun.com/wp-content/uploads/2018/02/PREPRINT-saferdrive_an_nlgbased_behaviour_change_support_system_for_drivers-braun_reiter_siddharthan.pdf}, doi = {10.1017/S1351324918000050}, year = {2018}, date = {2018-07-01}, journal = {Natural Language Engineering}, volume = {24}, number = {4}, pages = {551-588}, publisher = {Cambridge University Press}, abstract = {Despite the long history of Natural Language Generation (NLG) research, the potential for influencing real world behaviour through automatically generated texts has not received much attention. In this paper, we present SaferDrive, a behaviour change support system that uses NLG and telematic data in order to create weekly textual feedback for automobile drivers, which is delivered through a smartphone application. Usage-based car insurances use sensors to track driver behaviour. Although the data collected by such insurances could provide detailed feedback about the driving style, they are typically withheld from the driver and used only to calculate insurance premiums. SaferDrive instead provides detailed textual feedback about the driving style, with the intent to help drivers improve their driving habits. We evaluate the system with real drivers and report that the textual feedback generated by our system does have a positive influence on driving habits, especially with regard to speeding.}, keywords = {}, pubstate = {published}, tppubtype = {article} } Despite the long history of Natural Language Generation (NLG) research, the potential for influencing real world behaviour through automatically generated texts has not received much attention. In this paper, we present SaferDrive, a behaviour change support system that uses NLG and telematic data in order to create weekly textual feedback for automobile drivers, which is delivered through a smartphone application. Usage-based car insurances use sensors to track driver behaviour. Although the data collected by such insurances could provide detailed feedback about the driving style, they are typically withheld from the driver and used only to calculate insurance premiums. SaferDrive instead provides detailed textual feedback about the driving style, with the intent to help drivers improve their driving habits. We evaluate the system with real drivers and report that the textual feedback generated by our system does have a positive influence on driving habits, especially with regard to speeding. |
Braun, Daniel; Hernandez-Mendez, Adrian; Faber, Anne; Langen, Manfred; Matthes, Florian Customer-Centred Intermodal Combination of Mobility Services with Conversational Interfaces Inproceedings Drews, Paul; Funk, Burkhardt; Niemeyer, Peter; Xie, Lin (Hrsg.): Multikonferenz Wirtschaftsinformatik (MKWI) 2018, Leuphana Universität Lüneburg 2018, ISBN: 978-3-935786-72-0. @inproceedings{Braun2018b, title = {Customer-Centred Intermodal Combination of Mobility Services with Conversational Interfaces}, author = {Daniel Braun and Adrian Hernandez-Mendez and Anne Faber and Manfred Langen and Florian Matthes}, editor = {Paul Drews and Burkhardt Funk and Peter Niemeyer and Lin Xie}, url = {http://mkwi2018.leuphana.de/wp-content/uploads/MKWI_277.pdf}, isbn = {978-3-935786-72-0}, year = {2018}, date = {2018-03-06}, booktitle = {Multikonferenz Wirtschaftsinformatik (MKWI) 2018}, volume = {4}, organization = {Leuphana Universität Lüneburg}, abstract = {The way we consume mobility is drastically changing. Mobility is no longer only provided by traditional public transport and goods we own, like cars and bicycles, but also by service providers which offer mobility as a service, like car sharing companies. This new mobility ecosystem enables more flexibility, but also introduces additional complexity, especially for intermodal travel, i.e. reaching one's destination by using multiple means of transportation. In this paper, we present an approach to combine mobility services in a customer-centred way, which enables intermodal journey planning through an intuitive natural language interface. In contrast to other approaches, our architecture does not rely on the cooperation of mobility service providers, which has proven to be one of the main obstacles towards an integrated solution of multiple mobility services in the past.}, keywords = {}, pubstate = {published}, tppubtype = {inproceedings} } The way we consume mobility is drastically changing. Mobility is no longer only provided by traditional public transport and goods we own, like cars and bicycles, but also by service providers which offer mobility as a service, like car sharing companies. This new mobility ecosystem enables more flexibility, but also introduces additional complexity, especially for intermodal travel, i.e. reaching one's destination by using multiple means of transportation. In this paper, we present an approach to combine mobility services in a customer-centred way, which enables intermodal journey planning through an intuitive natural language interface. In contrast to other approaches, our architecture does not rely on the cooperation of mobility service providers, which has proven to be one of the main obstacles towards an integrated solution of multiple mobility services in the past. |
Braun, Daniel; Matthes, Florian Generating Explanations for Algorithmic Decisions of Usage-Based Insurances using Natural Language Generation Inproceedings Tichy, Matthias; Bodden, Eric; Kuhrmann, Marco; Wagner, Stefan; Steghöfer, Jan-Philipp (Hrsg.): Software Engineering und Software Management 2018, S. 219-220, Gesellschaft für Informatik, Bonn, 2018, ISBN: 978-3-88579-673-2. @inproceedings{mci/Braun2018, title = {Generating Explanations for Algorithmic Decisions of Usage-Based Insurances using Natural Language Generation}, author = {Daniel Braun and Florian Matthes}, editor = {Matthias Tichy and Eric Bodden and Marco Kuhrmann and Stefan Wagner and Jan-Philipp Steghöfer}, doi = {20.500.12116/16354}, isbn = {978-3-88579-673-2}, year = {2018}, date = {2018-03-01}, booktitle = {Software Engineering und Software Management 2018}, pages = {219-220}, publisher = {Gesellschaft für Informatik}, address = {Bonn}, series = {Lecture Notes in Informatics (LNI)}, abstract = {Usage-based insurances are becoming more and more popular, especially for cars. We present an approach to use Natural Language Generation (NLG) in order to explain customers which aspects of their behaviour influenced the assessment which is performed by these insurances.}, keywords = {}, pubstate = {published}, tppubtype = {inproceedings} } Usage-based insurances are becoming more and more popular, especially for cars. We present an approach to use Natural Language Generation (NLG) in order to explain customers which aspects of their behaviour influenced the assessment which is performed by these insurances. |
Braun, Daniel; Scepankova, Elena; Holl, Patrick; Matthes, Florian Customer-centered LegalTech: Automated Analysis of Standard Form Contracts Inproceedings Tagungsband Internationales Rechtsinformatik Symposium (IRIS) 2018, S. 627-634, Editions Weblaw, 2018. @inproceedings{Braun2018LegalTech, title = {Customer-centered LegalTech: Automated Analysis of Standard Form Contracts}, author = {Daniel Braun and Elena Scepankova and Patrick Holl and Florian Matthes}, url = {http://jusletter-it.weblaw.ch/issues/2018/IRIS/customer-centered-le_86c0d312a1.html}, year = {2018}, date = {2018-02-22}, booktitle = {Tagungsband Internationales Rechtsinformatik Symposium (IRIS) 2018}, pages = {627-634}, publisher = {Editions Weblaw}, abstract = {Customers are regularly confronted with complex standard form contracts, especially online. Most of the time, customers do not read these contracts at all and even if they try, they are not always able to understand them. In this paper, we present a technological approach to address this imbalance of powers between customers and companies and a prototypically implementation which analyses, assesses, and summarizes terms of services from German web shops.}, keywords = {}, pubstate = {published}, tppubtype = {inproceedings} } Customers are regularly confronted with complex standard form contracts, especially online. Most of the time, customers do not read these contracts at all and even if they try, they are not always able to understand them. In this paper, we present a technological approach to address this imbalance of powers between customers and companies and a prototypically implementation which analyses, assesses, and summarizes terms of services from German web shops. |
2017 |
Braun, Daniel; Scepankova, Elena; Holl, Patrick; Matthes, Florian SaToS: Assessing and Summarising Terms of Services from German Webshops Inproceedings Proceedings of the 10th International Conference on Natural Language Generation, S. 223–227, Association for Computational Linguistics Santiago de Compostela, Spain, 2017. @inproceedings{W17-3528, title = {SaToS: Assessing and Summarising Terms of Services from German Webshops}, author = {Daniel Braun and Elena Scepankova and Patrick Holl and Florian Matthes}, url = {http://aclweb.org/anthology/W17-3528}, doi = {10.18653/v1/W17-3534}, year = {2017}, date = {2017-09-01}, booktitle = {Proceedings of the 10th International Conference on Natural Language Generation}, pages = {223--227}, address = {Santiago de Compostela, Spain}, organization = {Association for Computational Linguistics }, keywords = {}, pubstate = {published}, tppubtype = {inproceedings} } |
Braun, Daniel ; Hernandez-Mendez, Adrian ; Matthes, Florian ; Langen, Manfred Evaluating Natural Language Understanding Services for Conversational Question Answering Systems Inproceedings Proceedings of the 18th Annual SIGdial Meeting on Discourse and Dialogue, S. 174–185, Association for Computational Linguistics, Saarbrücken, Germany, 2017. @inproceedings{braun-EtAl:2017:SIGDIAL, title = {Evaluating Natural Language Understanding Services for Conversational Question Answering Systems}, author = {Braun, Daniel and Hernandez-Mendez, Adrian and Matthes, Florian and Langen, Manfred}, url = {http://www.aclweb.org/anthology/W17-3622}, doi = {10.18653/v1/W17-5522}, year = {2017}, date = {2017-08-01}, booktitle = {Proceedings of the 18th Annual SIGdial Meeting on Discourse and Dialogue}, pages = {174--185}, publisher = {Association for Computational Linguistics}, address = {Saarbrücken, Germany}, abstract = {Conversational interfaces recently gained a lot of attention. One of the reasons for the current hype is the fact that chatbots (one particularly popular form of conversational interfaces) nowadays can be created without any programming knowledge, thanks to different toolkits and so-called Natural Language Understanding (NLU) services. While these NLU services are already widely used in both, industry and science, so far, they have not been analysed systematically. In this paper, we present a method to evaluate the classification performance of NLU services. Moreover, we present two new corpora, one consisting of annotated questions and one consisting of annotated questions with the corresponding answers. Based on these corpora, we conduct an evaluation of some of the most popular NLU services. Thereby we want to enable both, researchers and companies to make more educated decisions about which service they should use.}, keywords = {}, pubstate = {published}, tppubtype = {inproceedings} } Conversational interfaces recently gained a lot of attention. One of the reasons for the current hype is the fact that chatbots (one particularly popular form of conversational interfaces) nowadays can be created without any programming knowledge, thanks to different toolkits and so-called Natural Language Understanding (NLU) services. While these NLU services are already widely used in both, industry and science, so far, they have not been analysed systematically. In this paper, we present a method to evaluate the classification performance of NLU services. Moreover, we present two new corpora, one consisting of annotated questions and one consisting of annotated questions with the corresponding answers. Based on these corpora, we conduct an evaluation of some of the most popular NLU services. Thereby we want to enable both, researchers and companies to make more educated decisions about which service they should use. |
Hernandez-Mendez, A; Braun, D; Matthes, F; Langen, M Towards a Context-Aware Vertical Social Software Ecosystem Inproceedings 2017 IEEE 19th Conference on Business Informatics (CBI), S. 76-82, 2017. @inproceedings{8012943, title = {Towards a Context-Aware Vertical Social Software Ecosystem}, author = {A. Hernandez-Mendez and D. Braun and F. Matthes and M. Langen}, doi = {10.1109/CBI.2017.7}, year = {2017}, date = {2017-07-01}, booktitle = {2017 IEEE 19th Conference on Business Informatics (CBI)}, volume = {02}, pages = {76-82}, abstract = {Advances in software and hardware technology open up new potential for context-aware vertical social software. Companies are facing the challenge to incorporate these ideas into their existing software solutions. In this paper, we propose a reference architecture for Context-Aware Vertical Social Software platforms to facilitate reuse and enable synergies across different existing and new social software applications and workflows. This architecture enables external software developers to meet the needs of improving existing products and services of companies. Moreover, we present the lessons we learned from the implementation of such a platform and two case studies in collaboration with a large industry partner.}, keywords = {}, pubstate = {published}, tppubtype = {inproceedings} } Advances in software and hardware technology open up new potential for context-aware vertical social software. Companies are facing the challenge to incorporate these ideas into their existing software solutions. In this paper, we propose a reference architecture for Context-Aware Vertical Social Software platforms to facilitate reuse and enable synergies across different existing and new social software applications and workflows. This architecture enables external software developers to meet the needs of improving existing products and services of companies. Moreover, we present the lessons we learned from the implementation of such a platform and two case studies in collaboration with a large industry partner. |
Landthaler, Jörg ; Waltl, Bernhard ; Huth, Dominik ; Braun, Daniel ; Matthes, Florian ; Stocker, Christoph ; Geiger, Thomas Improving Thesauri Using Word Embeddings and a Novel Intersection Method Inproceedings CEUR-WS.org, (Hrsg.): Proceedings of the Second Workshop on Automated Semantic Analysis of Information in Legal Texts, 2017, ISSN: 1613-0073. @inproceedings{Landthaler2018, title = {Improving Thesauri Using Word Embeddings and a Novel Intersection Method}, author = {Landthaler, Jörg and Waltl, Bernhard and Huth, Dominik and Braun, Daniel and Matthes, Florian and Stocker, Christoph and Geiger, Thomas}, editor = {CEUR-WS.org}, url = {http://ceur-ws.org/Vol-2143/paper6.pdf}, issn = {1613-0073}, year = {2017}, date = {2017-06-23}, booktitle = {Proceedings of the Second Workshop on Automated Semantic Analysis of Information in Legal Texts}, keywords = {}, pubstate = {published}, tppubtype = {inproceedings} } |
2016 |
Braun, Daniel Creating Textual Driver Feedback from Telemetric Data Abschlussarbeit University of Aberdeen, 2016. @mastersthesis{braun2016creating, title = {Creating Textual Driver Feedback from Telemetric Data}, author = {Braun, Daniel}, year = {2016}, date = {2016-01-01}, school = {University of Aberdeen}, keywords = {}, pubstate = {published}, tppubtype = {mastersthesis} } |
2015 |
Braun, Daniel; Reiter, Ehud; Siddharthan, Advaith Creating Textual Driver Feedback from Telemetric Data Inproceedings Proceedings of the 15th European Workshop on Natural Language Generation (ENLG), S. 156–165, Association for Computational Linguistics Association for Computational Linguistics, Brighton, UK, 2015. @inproceedings{braun2015enlg, title = {Creating Textual Driver Feedback from Telemetric Data}, author = { Daniel Braun and Ehud Reiter and Advaith Siddharthan}, url = {http://aclanthology.coli.uni-saarland.de/pdf/W/W15/W15-4726.pdf}, doi = {10.18653/v1/W15-4726}, year = {2015}, date = {2015-01-01}, booktitle = {Proceedings of the 15th European Workshop on Natural Language Generation (ENLG)}, pages = {156--165}, publisher = {Association for Computational Linguistics}, address = {Brighton, UK}, organization = {Association for Computational Linguistics}, keywords = {}, pubstate = {published}, tppubtype = {inproceedings} } |
2014 |
Braun, Daniel Processing Semantic Information from Procedural Modelling Rules for Driving Simulation Abschlussarbeit Universität des Saarlandes, 2014. @mastersthesis{braun2014processing, title = {Processing Semantic Information from Procedural Modelling Rules for Driving Simulation}, author = { Daniel Braun}, url = {http://scidok.sulb.uni-saarland.de/volltexte/2014/5934/pdf/BA_Daniel_Braun_Print.pdf}, year = {2014}, date = {2014-01-01}, school = {Universität des Saarlandes}, type = {Bachelor\'s Thesis}, keywords = {}, pubstate = {published}, tppubtype = {mastersthesis} } |
2012 |
Endres, Christoph; Math, Rafael; Braun, Daniel Simulator-based evaluation on the impact of visual complexity and speed on driver’s cognitive load Inproceedings S. 30–31, 2012. @inproceedings{endres2012simulator, title = {Simulator-based evaluation on the impact of visual complexity and speed on driver’s cognitive load}, author = { Christoph Endres and Rafael Math and Daniel Braun}, year = {2012}, date = {2012-01-01}, journal = {Adjunct Proceedings of the 4th International Conference on Automotive User Interfaces and Interactive Vehicular Applications}, pages = {30--31}, keywords = {}, pubstate = {published}, tppubtype = {inproceedings} } |
2011 |
Endres, Christoph; Braun, Daniel; Müller, Christian Prototyping a Semi-Automatic In-Car Texting Assistant Inproceedings S. 57–60, 2011. @inproceedings{endres2011prototyping, title = {Prototyping a Semi-Automatic In-Car Texting Assistant}, author = { Christoph Endres and Daniel Braun and Christian Müller}, year = {2011}, date = {2011-01-01}, journal = {Proceedings of the 3rd Workshop on Multimodal Interfaces for Automotive Applications (MIAA 2011)}, pages = {57--60}, keywords = {}, pubstate = {published}, tppubtype = {inproceedings} } |
Braun, Daniel; Endres, Christoph; Müller, Christian Determination of Mobility Context using Low-Level Data Inproceedings S. 41–42, 2011. @inproceedings{braun2011determination, title = {Determination of Mobility Context using Low-Level Data}, author = { Daniel Braun and Christoph Endres and Christian Müller}, year = {2011}, date = {2011-01-01}, journal = {Adjunct Proceedings of the 3rd International Conference on Automotive User Interfaces and Interactive Vehicular Applications (AutomotiveUI 2011)}, pages = {41--42}, keywords = {}, pubstate = {published}, tppubtype = {inproceedings} } |
2010 |
Endres, Christoph; Braun, Daniel Pleopatra: A semi-automatic status-posting prototype for future in-car use Inproceedings S. 7, 2010. @inproceedings{endres2010pleopatra, title = {Pleopatra: A semi-automatic status-posting prototype for future in-car use}, author = { Christoph Endres and Daniel Braun}, year = {2010}, date = {2010-01-01}, journal = {Adjunct proceedings of the 2nd International Conference on Automotive User Interfaces and Interactive Vehicular Applications (AutomotiveUI 2010)}, pages = {7}, keywords = {}, pubstate = {published}, tppubtype = {inproceedings} } |
Endres, Christoph; Miksatko, Jan; Braun, Daniel Youldeco-Exploiting the Power of Online Social Networks for Eco-Friendly Driving Inproceedings S. 5, 2010. @inproceedings{endres2010youldeco, title = {Youldeco-Exploiting the Power of Online Social Networks for Eco-Friendly Driving}, author = { Christoph Endres and Jan Miksatko and Daniel Braun}, year = {2010}, date = {2010-01-01}, journal = {Adjunct proceedings of the 2nd International Conference on Automotive User Interfaces and Interactive Vehicular Applications (AutomotiveUI 2010)}, pages = {5}, keywords = {}, pubstate = {published}, tppubtype = {inproceedings} } |
First View: Bioshock: Infinite