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Abbaszadeh, Sadegh ORCID: 0000-0002-8257-0116; Hüllermeier, Eyke
ORCID: 0000-0002-9944-4108
(December 2021):
Machine Learning With the Sugeno Integral: The Case of Binary Classification.
In: IEEE Transactions on Fuzzy Systems, No. 12: pp. 3723-3733
Adel, Heike; Schütze, Hinrich (September 2019): Type-aware Convolutional Neural Networks for Slot Filling. In: Journal of Artificial Intelligence Research, Vol. 66: pp. 297-339 [PDF, 496kB]
Ahmadi Fahandar, Mohsen; Hüllermeier, Eyke (April 2021): Analogical Embedding for Analogy-Based Learning to Rank. Advances in Intelligent Data Analysis XIX. IDA 2021, April 26-28, 2021, Porto, Portugal.
Allioli, Joseph Franz (1830): Ueber die Aufgabe des Lebens auf Hochschulen in Bezug auf Wissenschaft und Gesittung. München [PDF, 11MB]
Aschersleben, G.; Gstalter, Herbert; Kaiser, F.; Strube, V.; Zang, B. (1989): Prototyping als Verfahren zur Software-Entwicklung. Literaturanalyse und Expertengespräche. In: Zeitschrift für Arbeitswissenschaft, No. 43: pp. 42-47 [PDF, 4MB]
Bayer, Hieronymus (1831): Rede an die Studirenden der Ludwigs-Maximilians-Universität in München. München: Weber. [PDF, 6MB]
Behmel, Andreas; Kienzl, Thomas; Höhl, Wolfgang (11. September 2014): [DEMO] MRI Design Review System. A Mixed Reality Interactive Design Review System for Architecture, Serious Games and Engineering using Game Engines, Standard Software, a Tablet Computer and Natural Interfaces. ISMAR 2014 International Symposium on Mixed and Augmented Reality, 08. - 12. September 2014, Technische Universität München. [PDF, 257kB]
Bernhart, Elias ORCID: 0000-0002-8858-0841
(18. January 2018):
Orientierung zum Datenmanagement und Hinweise für die Erstellung eines Datenmanagementplans für qualitative Daten an der LMU München.
[PDF, 1MB]
Biagini, Francesca (2017): Quantitative Network Science (QNetS). CAS Concepts, Vol. 5. München: Ludwig-Maximilians-Universität. [PDF, 849kB]
Brinkhoff, Thomas; Horn, H.; Kriegel, Hans-Peter; Schneider, Ralf (1993): Eine Speicher- und Zugriffsarchitektur für effiziente Anfragebearbeitung in Geo-Datenbankensystemen. Fachtagung Datenbanksysteme in Büro, Technik und Wissenschaft, 1993, Braunschweig. [PDF, 2MB]
Broschart, Daniel; Höhl, Wolfgang (1. April 2015): Augmented Reality in Architektur und Stadtplanung. Potenziale von Augmented Reality in Architektur und Stadtplanung. In: GIS Science, No. 1: pp. 20-29 [PDF, 847kB]
Burghardt, Manuel; Isemann, Daniel; Kattenbeck, Markus; Ludwig, Bernd; Wolff, Christian (2018): Digital Humanities an der Universität Regensburg. Geschichte – Projekte – Studiengang. In: Klinke, Harald (ed.) : #DigiCampus. Digitale Forschung und Lehre in den Geisteswissenschaften. München: Universitätsbibliothek der Ludwig-Maximilians-Universität. pp. 115-128 [PDF, 1MB]
Campagner, Andrea ORCID: 0000-0002-0027-5157; Ciucci, Davide
ORCID: 0000-0002-8083-7809; Hüllermeier, Eyke
ORCID: 0000-0002-9944-4108
(June 2021):
Rough set-based feature selection for weakly labeled data.
In: International Journal of Approximate Reasoning: pp. 150-167
Cornolti, Marco; Ferragina, Paolo; Ciaramita, Massimiliano; Rüd, Stefan; Schütze, Hinrich (December 2018): SMAPH: A Piggyback Approach for Entity-Linking in Web Queries. In: ACM Transactions on Information Systems, Vol. 37, No. 1, 13 [PDF, 1MB]
Dufter, Philipp; Kassner, Nora; Schütze, Hinrich (June 2021): Static Embeddings as Efficient Knowledge Bases? 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, June 6-11, 2021, Online. [PDF, 340kB]
Dufter, Philipp; Schütze, Hinrich (November 2018): A Stronger Baseline for Multilingual Word Embeddings. [PDF, 173kB]
Dufter, Philipp; Schütze, Hinrich (3. November 2019): Analytical Methods for Interpretable Ultradense Word Embeddings. UNSPECIFIED, November 3–7, 2019, Hong Kong, China [PDF, 423kB]
Dufter, Philipp; Schütze, Hinrich (November 2020): Identifying Elements Essential for BERT’s Multilinguality. Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 16th – 20th November 2020, Online. [PDF, 863kB]
Dufter, Philipp; Schütze, Hinrich (1. May 2020): Identifying Necessary Elements for BERT’s Multilinguality. [PDF, 631kB]
Dufter, Philipp; Zhao, Mengjie; Schmitt, Martin; Fraser, Alexander; Schütze, Hinrich (July 2018): Embedding Learning Through Multilingual Concept Induction. Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), July 15-20, 2018, Melbourne, Australia. [PDF, 453kB]
Erhard, Florian; Doelken, Lars; Jaskiewicz, Lukasz; Zimmer, Ralf (2013): PARma: identification of microRNA target sites in AGO-PAR-CLIP data. In: Genome Biology 14:R79 [PDF, 3MB]
Ess, Hans van (2016): Zur Situation der Geisteswissenschaften heute. CAS eSeries, Vol. 13. München: Ludwig-Maximilians-Universität. [PDF, 1MB]
Fakesch, Jens (25. July 2016): Multi-User 3D Augmented Reality Anwendung für die gemeinsame Interaktion mit virtuellen 3D Objekten. Master Thesis, Faculty of Mathematics, Computer Science and Statistics, Ludwig-Maximilians-Universität München. [PDF, 31MB]
Fischer, Frank; Wecker, Christof; Stegmann, Karsten (October 2015): Auswirkungen digitaler Medien auf den Wissens- und Kompetenzerwerb in der Schule. [PDF, 438kB]
Frank, Markus (2018): Digital Humanities Sprachwissenschaften. Schwerpunkte bei der Entwicklung eines sprachwissenschaftlichen DH-Nebenfaches. In: Klinke, Harald (ed.) : #DigiCampus. Digitale Forschung und Lehre in den Geisteswissenschaften. München: Universitätsbibliothek der Ludwig-Maximilians-Universität. pp. 103-114 [PDF, 148kB]
Fritz, Cornelius; Lebacher, Michael; Kauermann, Göran (2020): Tempus volat, hora fugit: A survey of tie‐oriented dynamic network models in discrete and continuous time. In: Statistica Neerlandica, Vol. 74, No. 3: pp. 275-299 [PDF, 3MB]
Fuchs, Mathias; Jiang, Xiaoyu; Anne-Laure, Boulesteix (14. January 2016): The computationally optimal test set size in simulation studies on supervised learning. Department of Statistics: Technical Reports, No.189 [PDF, 432kB]
Fütterer, Cornelia; Nalenz, Malte; Augustin, Thomas (11. November 2021): Discriminative Power Lasso - Incorporating Discriminative Power of Genes into Regularization-Based Variable Selection. Department of Statistics: Technical Reports, No.239 [PDF, 436kB]
Gupta, Pritha ORCID: 0000-0002-7277-4633; Ramaswamy, Arunselvan
ORCID: 0000-0001-7547-8111; Drees, Jan Peter
ORCID: 0000-0002-7982-9908; Hüllermeier, Eyke
ORCID: 0000-0002-9944-4108; Priesterjahn, Claudia
ORCID: 0000-0001-7236-9411; Jager, Tibor
ORCID: 0000-0002-3205-7699
(February 2022):
Automated Information Leakage Detection: A New Method Combining Machine Learning and Hypothesis Testing with an Application to Side-channel Detection in Cryptographic Protocols.
14th International Conference on Agents and Artificial Intelligence (ICAART 2022), February 3-5, Virtual.
Hengerer, Mark Sven; Hödl-Notter, Isabella; Schön, Gerhard (2018): Squirrel. Ein innovativer Editor zur Erstellung digitaler Editionen und sein Pilotprojekt. In: Klinke, Harald (ed.) : #DigiCampus. Digitale Forschung und Lehre in den Geisteswissenschaften. München: Universitätsbibliothek der Ludwig-Maximilians-Universität. pp. 129-138 [PDF, 4MB]
Hofmann, Valentin; Pierrehumbert, Janet; Schütze, Hinrich (November 2020): DagoBERT: Generating Derivational Morphology with a Pretrained Language Model. Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 16. – 20. November 2020, Online. [PDF, 2MB]
Hofmann, Valentin; Pierrehumbert, Janet; Schütze, Hinrich (6. July 2020): Predicting the Growth of Morphological Families from Social and Linguistic Factors. UNSPECIFIED, July 6 – 8, 2020, Seattle, USA [PDF, 2MB]
Hofmann, Valentin; Pierrehumbert, Janet B.; Schütze, Hinrich (August 2021): Dynamic Contextualized Word Embeddings. 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, August 2021, Online. [PDF, 4MB]
Hofmann, Valentin; Pierrehumbert, Janet B.; Schütze, Hinrich (August 2021): Superbizarre Is Not Superb: Derivational Morphology Improves BERT’s Interpretation of Complex Words. 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, August 2021, Online. [PDF, 1MB]
Hofmann, Valentin; Schütze, Hinrich; Pierrehumbert, Janet (6. July 2020): A Graph Auto-encoder Model of Derivational Morphology. UNSPECIFIED, July 6 – 8, 2020, Seattle, USA [PDF, 1MB]
Hofmann, Valentin; Schütze, Hinrich; Pierrehumbert, Janet B. (May 2022): An Embarrassingly Simple Method to Mitigate Undesirable Properties of Pretrained Language Model Tokenizers. 60th Annual Meeting of the Association for Computational Linguistics, May 22-27, 2022, Dublin, Ireland. [PDF, 480kB]
Häuber, Chrystina (March 2015): Rome: the city of memories. Or, why and how reconstruct and visualize ancient and post-antique Rome using digital technologies? The "AIS ROMA", diachronic and phase maps of (ancient) Rome in the WWW Long version 2015, München. The International Symposium Reconstruction and the Historic City: Rome and Abroad - an interdisciplinary approach, 17. - 19. Oktober 2012, LMU München, Deutschland. [PDF, 8MB]
Höhl, Wolfgang (9. March 2017): Industrie 4.0 und Angewandte Interaktive Technologien (APITs). Identifizieren von Projektpartnern und interdisziplinären Synergien mit der APITs-Vernetzungsmatrix. Elemente, Aufbau und Struktur interaktiver industrieller Anwendungen für Augmented Reality, Mixed Reality und Virtual Reality. [PDF, 833kB]
Höhl, Wolfgang ORCID: 0000-0002-2242-4395
(4. June 2012):
Netzwerktheorie und Prozessoptimierung.
In: Business + Innovation, No. 2: pp. 24-32
Höhl, Wolfgang ORCID: 0000-0002-2242-4395
(16. September 2017):
Open Innovation and Applied Interactive Technologies. Identifying project partners and interdisciplinary synergies with the Applied Interactive Technologies (APITs) networking matrix.
ACM Symposium on Applied Perception, 16. - 17. September 2017, Brandenburg University of Technology in Cottbus, Germany.
[PDF, 270kB]
Höhl, Wolfgang (1. January 2014): Sim Games, Simulation und industrielle Anwendungen. In: Kaiser, Markus (ed.) : Ringvorlesung Games. Retro Gaming, Gamification, Augmented Reality, Vol. 1. 1. München: Verlag Dr. Gabriele Hooffacker / MedienCampus Bayern e.V.. pp. 80-97 [PDF, 682kB]
Hüllermeier, Eyke ORCID: 0000-0002-9944-4108; Waegeman, Willem
(March 2021):
Aleatoric and epistemic uncertainty in machine learning: an introduction to concepts and methods.
In: Machine Learning, No. 3: pp. 457-506
Imani, Ayyoob; Sabet, Masoud Jalili; Senel, Lütfi Kerem; Dufter, Philipp; Yvon, François; Schütze, Hinrich (November 2021): Graph Algorithms for Multiparallel Word Alignment. 2021 Conference on Empirical Methods in Natural Language Processing, November 7-11, 2021, Online and Punta Cana, Dominican Republic. [PDF, 618kB]
Imani, Ayyoob; Senel, Lütfi Kerem; Sabet, Masoud Jalili; Yvon, François; Schütze, Hinrich (May 2022): Graph Neural Networks for Multiparallel Word Alignment. ACL 2022, May 2022, Dublin, Ireland. [PDF, 749kB]
Kann, Katharina; Schütze, Hinrich (October 2018): Neural Transductive Learning and Beyond: Morphological Generation in the Minimal-Resource Setting. 2018 Conference on Empirical Methods in Natural Language Processing, 31. October - 04. November 2018, Brussels, Belgium. [PDF, 879kB]
Kassner, Nora; Dufter, Philipp; Schütze, Hinrich (April 2021): Multilingual LAMA: Investigating Knowledge in Multilingual Pretrained Language Models. 16th Conference of the European Chapter of the Association for Computational Linguistics, April 2021, Online. [PDF, 2MB]
Kassner, Nora; Schütze, Hinrich (6. July 2020): Negated and Misprimed Probes for Pretrained Language Models: Birds Can Talk, But Cannot Fly. The 58th Annual Meeting of the Association for Computational Linguistic, July 6 – 8, 2020, Seattle, USA. [PDF, 251kB]
Kassner, Nora; Tafjord, Oyvind; Schütze, Hinrich; Clark, Peter (November 2021): BeliefBank: Adding Memory to a Pre-Trained Language Model for a Systematic Notion of Belief. 2021 Conference on Empirical Methods in Natural Language Processing, November 7-11, 2021, Online and Punta Cana, Dominican Republic. [PDF, 466kB]
Kemos, Apostolos; Adel, Heike; Schütze, Hinrich (June 2019): Neural Semi-Markov Conditional Random Fields for Robust Character-Based Part-of-Speech Tagging. UNSPECIFIED, 2. - 7. June 2019, Minneapolis, USA. [PDF, 369kB]
Klinke, Harald ORCID: 0000-0001-8603-5105
(2018):
Datenanalyse in der Digitalen Kunstgeschichte. Neue Methoden in Forschung und Lehre und
der Einsatz des DHVLab in der Lehre
Harald Klinke.
In: Klinke, Harald (ed.) :
#DigiCampus. Digitale Forschung und Lehre in den Geisteswissenschaften. München: Universitätsbibliothek der Ludwig-Maximilians-Universität. pp. 19-34
[PDF, 7MB]
Klinke, Harald ORCID: 0000-0001-8603-5105
(2018):
Vorwort: Die digitale Transformation in den
Geisteswissenschaften.
In: Klinke, Harald (ed.) :
#DigiCampus. Digitale Forschung und Lehre in den Geisteswissenschaften. München: Universitätsbibliothek der Ludwig-Maximilians-Universität. pp. 1-8
[PDF, 168kB]
Kohle, Hubertus ORCID: 0000-0003-3162-1304
(2018):
Die Geisteswissenschaften und das Digitale. Ein Quantensprung oder business as usual?
In: Klinke, Harald (ed.) :
#DigiCampus. Digitale Forschung und Lehre in den Geisteswissenschaften. München: Universitätsbibliothek der Ludwig-Maximilians-Universität. pp. 9-17
[PDF, 370kB]
Kolpaczki, Patrick; Bengs, Viktor; Hüllermeier, Eyke ORCID: 0000-0002-9944-4108
(September 2021):
Identifying Top-k Players in Cooperative Games via Shapley Bandits.
LWDA’21: Lernen, Wissen, Daten, Analysen, 1. - 3. September, 2021, Munich, Germany.
Krefeld, Thomas ORCID: 0000-0001-9657-6052
(2018):
DHLehre. Integration von Forschung und universitärem Unterricht.
In: Klinke, Harald (ed.) :
#DigiCampus. Digitale Forschung und Lehre in den Geisteswissenschaften. München: Universitätsbibliothek der Ludwig-Maximilians-Universität. pp. 35-46
[PDF, 8MB]
Landes, Jürgen ORCID: 0000-0003-3105-6624
(2021):
A Triple Uniqueness of the Maximum Entropy Approach.
In: Vejnarová, Jiřina; Wilson, Nic (eds.) :
Proceedings of ECSQARU. LNAI, Vol. 12897. Springer. pp. 644-656
Landes, Jürgen; Paris, Jeff B.; Vencovská, Alena (2009): Instantial Relevance in Polyadic Inductive Logic. Logic and Its Applications, January 9-11 2009, Chennai.
Landes, Jürgen ORCID: 0000-0003-3105-6624; Williamson, Jon
ORCID: 0000-0003-0514-4209
(2022):
Objective Bayesian nets for integrating consistent datasets.
In: Journal of Artificial Intelligence Research, Vol. 74: pp. 393-458
Liang, Sheng; Dufter, Philipp; Schütze, Hinrich (December 2020): Monolingual and Multilingual Reduction of Gender Bias in Contextualized Representations. The 28th International Conference on Computational Linguistics, 8. - 13. Dezember 2020, Online. [PDF, 850kB]
Liang, Sheng; Zhao, Mengjie; Schütze, Hinrich (May 2022): Modular and Parameter-Efficient Multimodal Fusion with Prompting. ACL 2022, May 2022, Dublin, Ireland. [PDF, 858kB]
Lienen, Julian ORCID: 0000-0003-2162-8107; Hüllermeier, Eyke
ORCID: 0000-0002-9944-4108
(December 2021):
Credal Self-Supervised Learning.
35th Conference on Neural Information Processing Systems (NeurIPS 2021), December 7, 2021, Virtual.
Lindörfer, Doris; Mansmann, Ulrich; Reinhardt, Isabel (16. June 2020): Incorporation of Multiple Sources into IT – and Data Protection Concepts: Lessons Learned from the FARKOR Project. In: Studies in Health Technology and Informatics, No. 270: pp. 262-266 [PDF, 656kB]
Liu, Yihong; Jabbar, Haris; Schütze, Hinrich (May 2022): Flow-Adapter Architecture for Unsupervised Machine Translation. 60th Annual Meeting of the Association for Computational Linguistics, May 2022, Dublin, Ireland. [PDF, 618kB]
Lücke, Stephan ORCID: 0000-0002-5853-1918; Riepl, Christian; Trautmann, Caroline
(2017):
Softwaretools und Methoden für die korpuslinguistische Praxis.
Korpus im Text, Vol. 1. München
[PDF, 8MB]
Mai, Thong Le; Chung, Minh Thanh; Le, Van Thanh; Thoai, Nam (2020): From Transcripts to Insights for Recommending the Curriculum to University Students. In: SN Computer Science, Vol. 1, No. 6, 323 [PDF, 2MB]
Maronikolakis, Antonis; Dufter, Philipp; Schütze, Hinrich (November 2021): Wine is Not v i n. On the Compatibility of Tokenizations Across Languages. EMNLP 2021, November 7–11, 2021, Punta Cana, Dominican Republic. [PDF, 3MB]
Maronikolakis, Antonis; Wisiorek, Axel; Nann, Leah; Jabbar, Haris; Udupa, Sahana ORCID: 0000-0003-3647-9570; Schütze, Hinrich
(May 2022):
Listening to Affected Communities to Define Extreme Speech: Dataset and Experiments.
ACL 2022, May 2022, Dublin, Ireland.
[PDF, 629kB]
Marz, Luisa; Schweter, Stefan; Poerner, Nina; Roth, Benjamin; Schütze, Hinrich (2. September 2021): Data Centric Domain Adaptation for Historical Text with OCR Errors. International Conference on Document Analysis and Recognition, September 2021, Lausanne, Switzerland. [PDF, 364kB]
McClelland, James; Hill, Felix; Rudolph, Maja; Baldridge, Jason; Schütze, Hinrich (12. December 2019): Extending Machine Language Models toward Human-Level Language Understanding. [PDF, 897kB]
McClelland, James; Hill, Felix; Rudolph, Maja; Baldridge, Jason; Schütze, Hinrich (28. September 2020): Placing language in an integrated understanding system: Next steps toward human-level performance in neural language models. In: Proceedings of the National Academy of Sciences, No. 42: pp. 25966-25974 [PDF, 818kB]
Michel, Antje; Wurdack, Ilse; Wunder, Marco; Kaminski, Christine (11. February 2015): Relaunch der Universitätsbibliotheks-Website. Leitfaden zur erfolgreichen Konzeption und Realisierung von Website-Projekten an der LMU. [PDF, 513kB]
Mohajer, Mojgan; Englmeier, Karl-Hans; Schmid, Volker J. ORCID: 0000-0003-2195-8130
(1. December 2010):
A comparison of Gap statistic definitions with and without logarithm function.
Department of Statistics: Technical Reports, No.96
[PDF, 766kB]
Morgan, Alexander A.; Lu, Zhiyong; Wang, Xinglong; Cohen, Aaron M.; Fluck, Juliane; Ruch, Patrick; Divoli, Anna; Fundel, Katrin; Leaman, Robert; Hakenberg, Joerg; Sun, Chengjie; Liu, Heng-hui; Torres, Rafael; Krauthammer, Michael; Lau, William W.; Liu, Hongfang; Hsu, Chun-Nan; Schuemie, Martijn; Cohen, K. Bretonnel; Hirschman, Lynette (2008): Overview of BioCreative II gene normalization. In: Genome Biology 9:S3 [PDF, 377kB]
Nalenz, Malte; Augustin, Thomas (11. November 2021): Cultivated Random Forests: Robust Decision Tree Learning through Tree Structured Ensembles. Department of Statistics: Technical Reports, No.240 [PDF, 463kB]
Ortner, Sebastian ORCID: 0000-0002-1824-3540
(2018):
Metadata Guidelines for the Latin Subcorpus PaLaFraLat. PaLaFra – The transition from Latin to French: constitution and analysis of a Latin-French digital corpus.
Tübingen
[PDF, 647kB]
Phillips, Georg (1845): Ueber die Herrlichkeit und Ehre der Wissenschaft und ihr Gedeihen in unserm Vaterlande. München: Wolf. [PDF, 6MB]
Poerner, Nina; Roth, Benjamin; Schütze, Hinrich (July 2018): Evaluating neural network explanation methods using hybrid documents and morphosyntactic agreement. The 56th Annual Meeting of the Association for Computational Linguistics, 15. - 20. July 2018, Melbourne, Australia. [PDF, 669kB]
Poerner, Nina; Sabet, Masoud Jalili; Roth, Benjamin; Schütze, Hinrich (October 2018): Aligning Very Small Parallel Corpora Using Cross-Lingual Word Embeddings and a Monogamy Objective. [PDF, 409kB]
Poerner, Nina; Waltinger, Ulli; Schütze, Hinrich (6. July 2020): Sentence Meta-Embeddings for Unsupervised Semantic Textual Similarity. UNSPECIFIED, July 6 – 8, 2020, Seattle, USA [PDF, 386kB]
Reißer, Alexandra ORCID: 0000-0001-5560-1901; Schneider, Stefanie
ORCID: 0000-0003-4915-6949; Schulz, Julian
ORCID: 0000-0003-4374-2680
(April 2020):
Schmankerl Time Machine. Die Speisekarte als Datenträger des kulturellen Gedächtnisses.
In: Marquart, Vivienne; Sterzinger-Killermann, Clara (eds.) :
Zwei Kugeln süß-sauer mit scharf! Münchens migrantisch geprägte Gastronomie. Münchner Beiträge zur Migrationsgeschichte, Vol. 4. München: Allitera. pp. 153-172
[PDF, 909kB]
Riepl, Christian (2018): Von der IT-Gruppe Geisteswissenschaften zu einem LMU Center for Digital Humanities? Zu Entwicklung, Mehrwert und Nachhaltigkeit des Digitalen. In: Klinke, Harald (ed.) : #DigiCampus. Digitale Forschung und Lehre in den Geisteswissenschaften. München: Universitätsbibliothek der Ludwig-Maximilians-Universität. pp. 57-75 [PDF, 811kB]
Ringseis, Johann Nepomuk (1855): Ueber die Nothwendigkeit der Autorität in den höchsten Gebieten der Wissenschaft. 1. Auflage. München: Weiß. [PDF, 16MB]
Ringseis, Johann Nepomuk (1855): Ueber die Nothwendigkeit der Autorität in den höchsten Gebieten der Wissenschaft. Zweite Auflage. München: Weiß. [PDF, 23MB]
Ringseis, Johann Nepomuk (1855): Ueber die Nothwendigkeit der Autorität in den höchsten Gebieten der Wissenschaft. Dritte, mit einem Vorworte vermehrte Auflage. München: Fleischmann. [PDF, 7MB]
Roth, Benjamin; Conforti, Costanza; Poerner, Nina; Schütze, Hinrich; Kumar Karn, Sanjeev (7. December 2018): Neural architectures for open-type relation argument extraction. In: Natural Language Engineering, Vol. 25, No. 2: pp. 219-238 [PDF, 611kB]
Sabet, Masoud Jalili; Dufter, Philipp; Schütze, Hinrich (27. April 2020): SimAlign: High Quality Word Alignments without Parallel Training Data using Static and Contextualized Embeddings. In: Findings of ACL: EMNLP 2020 [PDF, 1MB]
Sagstetter, Thomas (2019): Digitaler Strukturwandel und Privatrecht – Neue Regeln für Big Data & Co.? In: Husemann, Tim; Korves, Robert; Rosenkranz, Frank; Schmitt, Laura; Arnold, Litó; Beke-Martos, Judit; Dördelmann, Philipp; Häsemeyer, Skrollan; Kämper, Ludger; Musinsky, Daniel; Tadus, Daria; Tophof, Alexander; Antje, Weirauch (eds.) : Strukturwandel und Privatrecht. Jahrbuch Junge Zivilrechtswissenschaft, Baden-Baden: Nomos Verlag. pp. 1-28 [PDF, 426kB]
Schick, Timo; Schmid, Helmut; Schütze, Hinrich (December 2020): Automatically Identifying Words That Can Serve as Labels for Few-Shot Text Classification. The 28th International Conference on Computational Linguistics, 8. - 11. Dezember 2020, Online. [PDF, 275kB]
Schick, Timo; Schütze, Hinrich (June 2019): Attentive Mimicking: Better Word Embeddings by Attending to Informative Contexts. 2019 Annual Conference of the North American Chapter of the Association for Computational Linguistics, 2. - 7. June 2019, Minneapolis, USA. [PDF, 304kB]
Schick, Timo; Schütze, Hinrich (6. July 2020): BERTRAM: Improved Word Embeddings Have Big Impact on Contextualized Model Performance. The 58th Annual Meeting of the Association for Computational Linguistics, July 6 – 8, 2020, Seattle, USA. [PDF, 399kB]
Schick, Timo; Schütze, Hinrich (January 2019): Learning Semantic Representations for Novel Words: Leveraging Both Form and Context. Thirty-Third AAAI Conference on Artificial Intelligence; AAAI-2019, 27. January – 01. February 2019, Honolulu, Hawaii, USA. [PDF, 165kB]
Schick, Timo; Schütze, Hinrich (April 2019): Rare Words: A Major Problem for Contextualized Embeddings And How to Fix it by Attentive Mimicking. The Thirty-Fourth AAAI Conference on Artificial Intelligence (AAAI-20), February 7-12, 2020, New York, USA. [PDF, 372kB]
Schick, Timo; Schütze, Hinrich (April 2021): Exploiting Cloze Questions for Few Shot Text Classification and Natural Language Inference. 16th Conference of the European Chapter of the Association for Computational Linguistics, April 19-23, 2021, Online. [PDF, 493kB]
Schick, Timo; Schütze, Hinrich (November 2021): Few-Shot Text Generation with Natural Language Instructions. 2021 Conference on Empirical Methods in Natural Language Processing, November 7–11, 2021, Online and Punta Cana, Dominican Republic. [PDF, 504kB]
Schick, Timo; Schütze, Hinrich (November 2021): Generating Datasets with Pretrained Language Models. 2021 Conference on Empirical Methods in Natural Language Processing, November 7-11, 2021, Online and Punta Cana, Dominican Republic. [PDF, 431kB]
Schick, Timo; Schütze, Hinrich (June 2021): It’s Not Just Size That Matters: Small Language Models Are Also Few-Shot Learners. Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, June 2021, Online. [PDF, 475kB]
Schick, Timo; Udupa, Sahana ORCID: 0000-0003-3647-9570; Schütze, Hinrich
(17. December 2021):
Self-Diagnosis and Self-Debiasing: A Proposal for Reducing Corpus-Based Bias in NLP.
In: Transactions of the Association for Computational Linguistics, Vol. 9: pp. 1408-1424
[PDF, 411kB]
Schmid, Matthias; Wickler, Florian; Maloney, Kelly O.; Mitchell, Richard; Fenske, Nora; Mayr, Andreas
(2013):
Boosted Beta regression.
In: PLOS ONE
8(4), e61623
[PDF, 1MB]
Schmitt, Martin; Steinheber, Simon; Schreiber, Konrad (October 2018): Joint Aspect and Polarity Classification for Aspect-based Sentiment Analysis with End-to-End Neural Networks. 2018 Conference on Empirical Methods in Natural Language Processing; EMNLP 2018, 31. October - 02. November 2018, Brussels, Belgium. [PDF, 193kB]
Schneider, Stefanie ORCID: 0000-0003-4915-6949
(June 2020):
Museum Analytics. Museale Sammlungen neu und anders entdecken.
In: Museumskunde, Vol. 84
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DHd 2022 Kulturen des digitalen Gedächtnisses. 8. Tagung des Verbands "Digital Humanities im deutschsprachigen Raum", 7. - 11. März 2022, Potsdam.
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(2018):
Auf dem Weg zu einem DH-Curriculum Digital Humanities in den Geschichts- und Kunstwissenschaften an der LMU München.
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