TY - CHAP A1 - Kirsch, Ansgar T1 - Experimental investigations of face stability of shallow tunnels in sand T2 - W(H)YDOC 08 : International Workshop of Young Doctors in Geomechanics : Champs-sur-Marne, Nov. 19 - 21 2008 Y1 - 2008 SP - 61 EP - 64 PB - Ecole des Ponts ParisTech CY - Paris ER - TY - CHAP A1 - Vieira da Silva, Maria Eugenia A1 - Schwarzer, Klemens A1 - Queiroz Medeiros, Marcelo Ricardo T1 - Experimental results of a solar cooker with heat storage T2 - RIO 02 - World Climate & Energy Event, January 6-11, 2002 Y1 - 2002 ER - TY - CHAP A1 - Heinol, Horst-Guenther A1 - Xu, Zhanping A1 - Schwarte, Rudolf A1 - Ringbeck, Thorsten ED - Deppe, Gerd-Joachim T1 - Experimentelle Ergebnisse eines neuartigen schnellen 3D-MeEsystems mit modifizierten elektrooptischen Modulationskomponenten T2 - Optische Formerfassung : Erfahrungsaustausch zwischen Anwendern und Entwicklern ; Manuskripte der Vorträge und Präsentationen zur DGZfP-VDI/VDE-GMA-Fachtagung am 28. und 29. April 1997 in der Stadthalle in Langen. - (GMA-Bericht ; 30) Y1 - 1997 SP - 99 EP - 103 PB - Gesellschaft Mess- und Automatisierungstechnik CY - Düsseldorf ER - TY - CHAP A1 - Kuhlmann, Wolfram A1 - Butenweg, Christoph A1 - Bettzieche, Volker A1 - Meskouris, Konstantin T1 - Experimentelle und numerische Untersuchungen zur baudynamischen Beurteilung von Talsperren des Ruhrverbandes T2 - 13. Deutsches Talsperrensymposium in Weimar Y1 - 2004 SP - 1 EP - 26 ER - TY - CHAP A1 - Klöser, Lars A1 - Büsgen, André A1 - Kohl, Philipp A1 - Kraft, Bodo A1 - Zündorf, Albert ED - Conte, Donatello ED - Fred, Ana ED - Gusikhin, Oleg ED - Sansone, Carlo T1 - Explaining relation classification models with semantic extents T2 - DeLTA 2023: Deep Learning Theory and Applications N2 - In recent years, the development of large pretrained language models, such as BERT and GPT, significantly improved information extraction systems on various tasks, including relation classification. State-of-the-art systems are highly accurate on scientific benchmarks. A lack of explainability is currently a complicating factor in many real-world applications. Comprehensible systems are necessary to prevent biased, counterintuitive, or harmful decisions. We introduce semantic extents, a concept to analyze decision patterns for the relation classification task. Semantic extents are the most influential parts of texts concerning classification decisions. Our definition allows similar procedures to determine semantic extents for humans and models. We provide an annotation tool and a software framework to determine semantic extents for humans and models conveniently and reproducibly. Comparing both reveals that models tend to learn shortcut patterns from data. These patterns are hard to detect with current interpretability methods, such as input reductions. Our approach can help detect and eliminate spurious decision patterns during model development. Semantic extents can increase the reliability and security of natural language processing systems. Semantic extents are an essential step in enabling applications in critical areas like healthcare or finance. Moreover, our work opens new research directions for developing methods to explain deep learning models. KW - Relation classification KW - Natural language processing KW - Natural language understanding KW - Information extraction KW - Trustworthy artificial intelligence Y1 - 2023 SN - 978-3-031-39058-6 (Print) SN - 978-3-031-39059-3 (Online) U6 - http://dx.doi.org/10.1007/978-3-031-39059-3_13 N1 - 4th International Conference, DeLTA 2023, Rome, Italy, July 13–14, 2023. SP - 189 EP - 208 PB - Springer CY - Cham ER - TY - CHAP A1 - Spasov, Yulian A1 - Döring, Bernd A1 - Griffin, Allan T1 - Exploiting the thermal mass in an energy efficient building - a comparison exercise between IES Apache and TRNSYS models T2 - Clima 2007 WellBeing Indoors: 9th Rehva World Congress, 10-14 June 2007, Helsinki, Finland : proceedings Y1 - 2007 SN - 978-952-99898-2-9 SP - 1 EP - 7 CY - Helsinki ER - TY - CHAP A1 - Büsgen, André A1 - Klöser, Lars A1 - Kohl, Philipp A1 - Schmidts, Oliver A1 - Kraft, Bodo A1 - Zündorf, Albert T1 - Exploratory analysis of chat-based black market profiles with natural language processing T2 - Proceedings of the 11th International Conference on Data Science, Technology and Applications N2 - Messenger apps like WhatsApp or Telegram are an integral part of daily communication. Besides the various positive effects, those services extend the operating range of criminals. Open trading groups with many thousand participants emerged on Telegram. Law enforcement agencies monitor suspicious users in such chat rooms. This research shows that text analysis, based on natural language processing, facilitates this through a meaningful domain overview and detailed investigations. We crawled a corpus from such self-proclaimed black markets and annotated five attribute types products, money, payment methods, user names, and locations. Based on each message a user sends, we extract and group these attributes to build profiles. Then, we build features to cluster the profiles. Pretrained word vectors yield better unsupervised clustering results than current state-of-the-art transformer models. The result is a semantically meaningful high-level overview of the user landscape of black market chatrooms. Additionally, the extracted structured information serves as a foundation for further data exploration, for example, the most active users or preferred payment methods. KW - Clustering KW - Natural Language Processing KW - Information Extraction KW - Profile Extraction KW - Text Mining Y1 - 2022 SN - 978-989-758-583-8 U6 - http://dx.doi.org/10.5220/0011271400003269 SN - 2184-285X SP - 83 EP - 94 ER - TY - CHAP A1 - Rens, Gavin A1 - Ferrein, Alexander A1 - Poel, Etienne van der T1 - Extending DTGolog to deal with POMD-Ps T2 - Proceedings of the Nineteenth Annual Symposium of the Pattern Recognition Association of South Africa (PRASA 2008) Y1 - 2008 SP - 49 EP - 54 ER - TY - CHAP A1 - Birkl, Josef A1 - Diendorfer, Gerhard A1 - Kern, Alexander A1 - Thern, Stephan T1 - Extrem hohe Blitzströme T1 - Extremly high lightning currents T2 - 12. VDE/ABB-Blitzschutztagung : Beiträge der 12. VDE/ABB-Fachtagung, 12.-13. Oktober 2017, Aschaffenburg Y1 - 2017 SN - 978-3-8007-4459-6 SP - 146 EP - 152 ER - TY - CHAP A1 - Birkl, Josef A1 - Diendorfer, Gerhard A1 - Kern, Alexander A1 - Thern, Stephan T1 - Extremely high lightning peak currents T2 - 34th International Conference on Ligntning Protection, 02-07 September 2018 Y1 - 2018 SN - 978-1-5386-6635-7 ER -