@inproceedings{1182,
abstract = {{Natural language requirement descriptions are often unstructured, contradictory and incomplete and are therefore challenging for automatic processing. Although many of these deficits can be compensated by means of Natural Language Processing, there still remain cases where interaction with end-users is necessary for clarification. In this paper, we present our idea of using chatbot technology to establish end-user communication in order to support the automatic compensation of some deficits in natural language requirement descriptions.}},
author = {{Friesen, Edwin and Bäumer, Frederik Simon and Geierhos, Michaela}},
booktitle = {{Joint Proceedings of REFSQ-2018 Workshops, Doctoral Symposium, Live Studies Track, and Poster Track co-located with the 23rd International Conference on Requirements Engineering: Foundation for Software Quality (REFSQ 2018)}},
editor = {{Schmid, Klaus and Spoletini, Paola and Ben Charrada, Eya and Chisik, Yoram and Dalpiaz, Fabiano and Ferrari, Alessio and Forbrig, Peter and Franch, Xavier and Kirikova, Marite and Madhavji, Nazim and Palomares, Cristina and Ralyté, Jolita and Sabetzadeh, Mehrdad and Sawyer, Pete and van der Linden, Dirk and Zamansky, Anna }},
issn = {{1613-0073}},
location = {{Utrecht, The Netherlands}},
publisher = {{CEUR-WS.org}},
title = {{{CORDULA: Software Requirements Extraction Utilizing Chatbot as Communication Interface}}},
volume = {{2075}},
year = {{2018}},
}
@inproceedings{1183,
abstract = {{As our world grows in complexity, companies and employees alike need, more than ever before, solutions tailored to their exact needs. Since such tools cannot always be purchased off-the-shelf and need to be designed from the ground up, developers rely on software requirements. In this paper, we present our vision of a syntactic rule-based extraction
tool for software requirements specification documents. In contrast to other methods, our tool will allow stakeholders to express their needs and wishes in unfiltered natural language, which we believe is essential for non-expert users.}},
author = {{Caron, Matthew and Bäumer, Frederik Simon and Geierhos, Michaela}},
booktitle = {{Joint Proceedings of REFSQ-2018 Workshops, Doctoral Symposium, Live Studies Track, and Poster Track co-located with the 23rd International Conference on Requirements Engineering: Foundation for Software Quality (REFSQ 2018)}},
editor = {{Schmid, Klaus and Spoletini, Paola and Ben Charrada, Eya and Chisik, Yoram and Dalpiaz, Fabiano and Ferrari, Alessio and Forbrig, Peter and Franch, Xavier and Kirikova, Marite and Madhavji, Nazim and Palomares, Cristina and Ralyté, Jolita and Sabetzadeh, Mehrdad and Sawyer, Pete and van der Linden, Dirk and Zamansky, Anna}},
issn = {{1613-0073}},
location = {{Utrecht, The Netherlands}},
publisher = {{CEUR-WS.org}},
title = {{{Back to Basics: Extracting Software Requirements with a Syntactic Approach}}},
volume = {{2075}},
year = {{2018}},
}
@misc{9651,
author = {{Mildorf, Jarmila}},
publisher = {{Universität Paderborn}},
title = {{{Reading (Fictional) Dialogue: Text, Context, Cognition}}},
year = {{2018}},
}
@inproceedings{1379,
author = {{Seemann, Nina and Geierhos, Michaela and Merten, Marie-Luis and Tophinke, Doris and Wever, Marcel Dominik and Hüllermeier, Eyke}},
booktitle = {{Postersession Computerlinguistik der 40. Jahrestagung der Deutschen Gesellschaft für Sprachwissenschaft}},
editor = {{Eckart, Kerstin and Schlechtweg, Dominik }},
location = {{Stuttgart, Germany}},
title = {{{Supporting the Cognitive Process in Annotation Tasks}}},
year = {{2018}},
}
@article{33301,
author = {{Bredenbröcker, Martina and Hahn, Charlotte Anna}},
journal = {{Englisch 5 - 10}},
keywords = {{Abschlussprüfung Englisch, Auslautverhärtung, Aussprache, awareness raising activities, final-obstruent devoicing, Lautschulung, oral exam, pronunciation, silent letters, th, w vs. v}},
pages = {{32--34}},
publisher = {{Friedrich}},
title = {{{Welcome back to school: Aussprache in Klasse 5 prüfen}}},
volume = {{41}},
year = {{2018}},
}
@misc{9637,
author = {{Mildorf, Jarmila}},
booktitle = {{Partial Answers}},
number = {{2}},
pages = {{353--356}},
title = {{{Book review: Roger Sell (ed.) (2014). 'Dialogue as Literature.' Amsterdam: John Benjamins}}},
volume = {{16}},
year = {{2018}},
}
@misc{9628,
author = {{Mildorf, Jarmila}},
booktitle = {{Erzählen}},
editor = {{Huber, Martin and Schmid, Wolf}},
pages = {{229--243}},
publisher = {{de Gruyter}},
title = {{{Mündliches Erzählen / Alltagserzählungen}}},
volume = {{7}},
year = {{2018}},
}
@article{54792,
abstract = {{Abstract
This article studies the anti-racist writings by contemporary scholars Cornel West, Eddie S. Glaude, Jr., George Yancy, and Claudia Rankine. It uncovers how they include personal narratives in their works in order to theorise the workings of white hegemony in the twenty-first century. In doing so, I argue, they productively blur the lines between the personal and the theoretical as well as between the past and the present. Consequently, they problematise the notion of abstract theorising, the myth of continuous racial progress as well as conceptions of postracialism.}},
author = {{Hartmann, Alexandra}},
issn = {{2451-3474}},
journal = {{Open Cultural Studies}},
number = {{1}},
pages = {{224--235}},
publisher = {{Walter de Gruyter GmbH}},
title = {{{The Personal Is Theoretical and the Past Is Present: Blurring the Lines in Contemporary Anti-Racist Writing}}},
doi = {{10.1515/culture-2018-0021}},
volume = {{2}},
year = {{2018}},
}
@book{35500,
editor = {{Ehland, Christoph and Fischer, Pascal}},
isbn = {{9789004369290}},
pages = {{219}},
publisher = {{Brill}},
title = {{{Resistance and the City: Negotiating Urban Identities – Race, Class, and Gender}}},
volume = {{Volume 28}},
year = {{2018}},
}
@book{35499,
editor = {{Ehland, Christoph and Fischer, Pascal}},
isbn = {{9789004369184}},
pages = {{238}},
publisher = {{Brill}},
title = {{{Resistance and the City: Challenging Urban Space}}},
volume = {{Volume 27}},
year = {{2018}},
}
@inproceedings{58788,
author = {{Wirth, Robert}},
booktitle = {{ESSE Conference 2018}},
title = {{{Brexitopia on and from the Small Screen: Keeping Britain Nostalgically Calm}}},
year = {{2018}},
}
@misc{25846,
author = {{Dolzhenko, Irina and Rumlich, Dominik}},
publisher = {{sib.fm}},
title = {{{Понять, как они тикают [Verstehen, wie sie ticken]. Interview on CLIL conducted by Ирина Долженко [Irina Dolzhenko] on behalf of sib.fm}}},
year = {{2017}},
}
@inproceedings{1156,
abstract = {{In this paper, we present an IoT architecture which handles stream sensor data of air pollution. Particle pollution is known as a serious threat to human health. Along with developments in the use of wireless sensors and the IoT, we propose an architecture that flexibly measures and processes stream data collected in real-time by movable and low-cost IoT sensors. Thus, it enables a wide-spread network of wireless sensors that can follow changes in human behavior. Apart from stating reasons for the need of such a development and its requirements, we provide a conceptual design as well as a technological design of such an architecture. The technological design consists of Kaa and Apache Storm which can collect air pollution information in real-time and solve various problems to process data such as missing data and synchronization. This enables us to add a simulation in which we provide issues that might come up when having our architecture in use. Together with these issues, we state r easons for choosing specific modules among candidates. Our architecture combines wireless sensors with the Kaa IoT framework, an Apache Kafka pipeline and an Apache Storm Data Stream Management System among others. We even provide open-government data sets that are freely available.}},
author = {{Kersting, Joschka and Geierhos, Michaela and Jung, Hanmin and Kim, Taehong}},
booktitle = {{Proceedings of the 2nd International Conference on Internet of Things, Big Data and Security}},
editor = {{Ramachandran, Muthu and Méndez Muñoz, Víctor and Kantere, Verena and Wills, Gary and Walters, Robert and Chang, Victor}},
isbn = {{978-989-758-245-5}},
keywords = {{Wireless Sensor Network, Internet of Things, Stream Data, Air Pollution, DSMS, Real-time Data Processing}},
location = {{Porto, Portugal}},
pages = {{117--124}},
publisher = {{SCITEPRESS}},
title = {{{Internet of Things Architecture for Handling Stream Air Pollution Data}}},
doi = {{10.5220/0006354801170124}},
year = {{2017}},
}
@inproceedings{1158,
abstract = {{In this paper, we present the annotation challenges we have encountered when working on a historical language that was undergoing elaboration processes. We especially focus on syntactic ambiguity and gradience in Middle Low German, which causes uncertainty to some extent. Since current annotation tools consider construction contexts and the dynamics of the grammaticalization only partially, we plan to extend CorA – a web-based annotation tool for historical and other non-standard language data – to capture elaboration phenomena and annotator unsureness. Moreover, we seek to interactively learn morphological as well as syntactic annotations.}},
author = {{Seemann, Nina and Merten, Marie-Luis and Geierhos, Michaela and Tophinke, Doris and Hüllermeier, Eyke}},
booktitle = {{Proceedings of the Joint SIGHUM Workshop on Computational Linguistics for Cultural Heritage, Social Sciences, Humanities and Literature}},
location = {{Vancouver, BC, Canada}},
pages = {{40--45}},
publisher = {{Association for Computational Linguistics (ACL)}},
title = {{{Annotation Challenges for Reconstructing the Structural Elaboration of Middle Low German}}},
doi = {{10.18653/v1/W17-2206}},
year = {{2017}},
}
@inbook{1159,
abstract = {{In this paper, we present a search solution that makes local news information easily accessible. In the era of fake news, we provide an approach for accessing news information through opinion mining. This enables users to view news on the same topics from different web sources. By applying sentiment analysis on social media posts, users can better understand how issues are captured and see people’s reactions. Therefore, we provide a local search service that first localizes news articles, then visualizes their occurrence according to the frequency of mentioned topics on a heatmap and even shows the sentiment score for each text. }},
author = {{Kersting, Joschka and Geierhos, Michaela}},
booktitle = {{Information and Software Technologies: 23rd International Conference, ICIST 2017, Druskininkai, Lithuania, October 12–14, 2017, Proceedings}},
editor = {{Damaševičius, Robertas and Mikašytė, Vilma}},
isbn = {{978-3-319-67641-8}},
location = {{Druskininkai, Lithuania}},
pages = {{528--538}},
publisher = {{Springer}},
title = {{{Using Sentiment Analysis on Local Up-to-the-Minute News: An Integrated Approach}}},
doi = {{10.1007/978-3-319-67642-5}},
volume = {{756}},
year = {{2017}},
}
@inbook{1161,
abstract = {{Consulting a physician was long regarded as an intimate and private matter. The physician-patient relationship was perceived as sensitive and trustful. Nowadays, there is a change, as medical procedures and physicians consultations are reviewed like other services on the Internet. To allay user’s privacy doubts, physician review websites assure anonymity and the protection of private data. However, there are hundreds of reviews that reveal private information and hence enable physicians or the public to identify patients. Thus, we draw attention to the cases when de-anonymization is possible. We therefore introduce an approach that highlights private information in physician reviews for users to avoid an accidental disclosure. For this reason, we combine established natural-language-processing techniques such as named entity recognition as well as handcrafted patterns to achieve a high detection accuracy. That way, we can help websites to increase privacy protection by recognizing and uncovering apparently uncritical information in user-generated texts.}},
author = {{Bäumer, Frederik Simon and Grote, Nicolai and Kersting, Joschka and Geierhos, Michaela}},
booktitle = {{Information and Software Technologies: 23rd International Conference, ICIST 2017, Druskininkai, Lithuania, October 12–14, 2017, Proceedings}},
editor = {{Damaševičius, Robertas and Mikašytė, Víctor}},
isbn = {{978-3-319-67641-8}},
keywords = {{Physician Reviews, User Privacy, Nocuous Data Exposure}},
location = {{Druskininkai, Lithuania}},
pages = {{77--89}},
publisher = {{Springer}},
title = {{{Privacy Matters: Detecting Nocuous Patient Data Exposure in Online Physician Reviews}}},
doi = {{10.1007/978-3-319-67642-5_7}},
volume = {{756}},
year = {{2017}},
}
@book{17709,
editor = {{Mindt, Ilka and Schäfer, Wilhelm and Sloane, Peter F. E. and Gössling, Bernd and Mehic, Ahmet}},
title = {{{Proceedings of the BHQFHE projects. Basis, Analysis, Development, Impact and Prosepcts of the BHQFHE Tempus Project}}},
year = {{2017}},
}
@article{17722,
author = {{Mindt, Ilka}},
journal = {{Zeitschrift für Anglistik und Amerikanistik}},
pages = {{339 -- 353}},
title = {{{Chosen}}},
volume = {{65 : 3}},
year = {{2017}},
}
@inbook{17724,
author = {{Mindt, Ilka}},
booktitle = {{Anglistik. International Journal of English Studies }},
pages = {{57 --73}},
title = {{{Analyzing Corpus Data from Within}}},
year = {{2017}},
}
@inbook{17725,
author = {{Mindt, Ilka}},
booktitle = {{Proceedings of the BHQFHE projects. Basis, Analysis, Development, Impact and Prosepcts of the BHQFHE Tempus Project}},
editor = {{Schäfer, Wilhelm and Sloane, Peter and Mindt, Ilka and Gössling, Bernd and Mehic, Ahmet}},
pages = {{23 -- 26}},
title = {{{Accreditation of Study Programs}}},
year = {{2017}},
}