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2020 – today
- 2024
[i14]Rikhiya Ghosh, Oladimeji Farri, Hans-Martin von Stockhausen, Martin Schmitt, George Marica:
CVE-LLM : Automatic vulnerability evaluation in medical device industry using large language models. CoRR abs/2407.14640 (2024)- 2023
- [j6]Martin Schmitt
:
Socialist AI? Societal Use, Economic Implementation, and the Tensions of Applied Computer Science in Late Socialist GDR. IEEE Ann. Hist. Comput. 45(3): 66-79 (2023) - 2022
- [b1]Martin Schmitt:
Computational models of relations in text and knowledge graphs for logical reasoning and graph-text conversion. Ludwig Maximilian University of Munich, Germany, 2022 - [j5]Philipp Dufter, Martin Schmitt, Hinrich Schütze:
Position Information in Transformers: An Overview. Comput. Linguistics 48(3): 733-763 (2022) - [c12]Sahand Sharifzadeh, Sina Moayed Baharlou, Martin Schmitt, Hinrich Schütze, Volker Tresp:
Improving Scene Graph Classification by Exploiting Knowledge from Texts. AAAI 2022: 2189-2197 - [p1]Martin Schmitt:
Banking the Future of Banking: Savings Banks and the Digital Age in East and West Germany. Prophets of Computing 2022: 87-116 - [i13]Marina Sedinkina, Martin Schmitt, Hinrich Schütze:
Domain Adaptation for Sparse-Data Settings: What Do We Gain by Not Using Bert? CoRR abs/2203.16926 (2022) - 2021
- [c11]Jeremias Bohn, Jannik Fischbach, Martin Schmitt, Hinrich Schütze, Andreas Vogelsang:
Semi-Automated Labeling of Requirement Datasets for Relation Extraction. BUCC@RANLP 2021: 40-45 - [c10]Martin Schmitt, Hinrich Schütze:
Language Models for Lexical Inference in Context. EACL 2021: 1267-1280 - [c9]Martin Schmitt, Hinrich Schütze:
Continuous Entailment Patterns for Lexical Inference in Context. EMNLP (1) 2021: 6952-6959 - [i12]Sahand Sharifzadeh, Sina Moayed Baharlou, Martin Schmitt, Hinrich Schütze, Volker Tresp:
Improving Visual Reasoning by Exploiting The Knowledge in Texts. CoRR abs/2102.04760 (2021) - [i11]Martin Schmitt, Hinrich Schütze:
Language Models for Lexical Inference in Context. CoRR abs/2102.05331 (2021) - [i10]Marina Speranskaya, Martin Schmitt, Benjamin Roth:
Ranking vs. Classifying: Measuring Knowledge Base Completion Quality. CoRR abs/2102.06145 (2021) - [i9]Philipp Dufter, Martin Schmitt, Hinrich Schütze:
Position Information in Transformers: An Overview. CoRR abs/2102.11090 (2021) - [i8]Jeremias Bohn, Jannik Fischbach, Martin Schmitt, Hinrich Schütze, Andreas Vogelsang:
Semi-Automated Labeling of Requirement Datasets for Relation Extraction. CoRR abs/2109.02050 (2021) - [i7]Martin Schmitt, Hinrich Schütze:
Continuous Entailment Patterns for Lexical Inference in Context. CoRR abs/2109.03695 (2021) - [i6]Maximilian Mozes, Martin Schmitt, Vladimir Golkov, Hinrich Schütze, Daniel Cremers:
Scene Graph Generation for Better Image Captioning? CoRR abs/2109.11398 (2021) - 2020
- [c8]Marina Speranskaya, Martin Schmitt, Benjamin Roth:
Ranking vs. Classifying: Measuring Knowledge Base Completion Quality. AKBC 2020 - [c7]Philipp Dufter, Martin Schmitt, Hinrich Schütze:
Increasing Learning Efficiency of Self-Attention Networks through Direct Position Interactions, Learnable Temperature, and Convoluted Attention. COLING 2020: 3630-3636 - [c6]Martin Schmitt, Sahand Sharifzadeh, Volker Tresp, Hinrich Schütze:
An Unsupervised Joint System for Text Generation from Knowledge Graphs and Semantic Parsing. EMNLP (1) 2020: 7117-7130 - [i5]Martin Schmitt, Leonardo F. R. Ribeiro, Philipp Dufter, Iryna Gurevych, Hinrich Schütze:
Modeling Graph Structure via Relative Position for Better Text Generation from Knowledge Graphs. CoRR abs/2006.09242 (2020) - [i4]Leonardo F. R. Ribeiro, Martin Schmitt, Hinrich Schütze, Iryna Gurevych:
Investigating Pretrained Language Models for Graph-to-Text Generation. CoRR abs/2007.08426 (2020)
2010 – 2019
- 2019
- [j4]Stefan Evert, Philipp Heinrich, Klaus Henselmann, Ulrich Rabenstein, Elisabeth Scherr, Martin Schmitt, Lutz Schröder:
Combining Machine Learning and Semantic Features in the Classification of Corporate Disclosures. J. Log. Lang. Inf. 28(2): 309-330 (2019) - [c5]Martin Schmitt, Hinrich Schütze:
SherLIiC: A Typed Event-Focused Lexical Inference Benchmark for Evaluating Natural Language Inference. ACL (1) 2019: 902-914 - [e1]Christopher Leslie, Martin Schmitt:
Histories of Computing in Eastern Europe - IFIP WG 9.7 International Workshop on the History of Computing, HC 2018, Held at the 24th IFIP World Computer Congress, WCC 2018, Poznań, Poland, September 19-21, 2018, Revised Selected Papers. IFIP Advances in Information and Communication Technology 549, Springer 2019, ISBN 978-3-030-29159-4 [contents] - [i3]Martin Schmitt, Hinrich Schütze:
Unsupervised Text Generation from Structured Data. CoRR abs/1904.09447 (2019) - [i2]Martin Schmitt, Hinrich Schütze:
SherLIiC: A Typed Event-Focused Lexical Inference Benchmark for Evaluating Natural Language Inference. CoRR abs/1906.01393 (2019) - 2018
- [c4]Philipp Dufter, Mengjie Zhao, Martin Schmitt, Alexander M. Fraser, Hinrich Schütze:
Embedding Learning Through Multilingual Concept Induction. ACL (1) 2018: 1520-1530 - [c3]Martin Schmitt, Simon Steinheber, Konrad Schreiber, Benjamin Roth:
Joint Aspect and Polarity Classification for Aspect-based Sentiment Analysis with End-to-End Neural Networks. EMNLP 2018: 1109-1114 - [c2]Martin Schmitt:
Socialist Life of a U.S. Army Computer in the GDR's Financial Sector - Import of Western Information Technology into Eastern Europe in the Early 1960s. HC 2018: 139-164 - [i1]Martin Schmitt, Simon Steinheber, Konrad Schreiber, Benjamin Roth:
Joint Aspect and Polarity Classification for Aspect-based Sentiment Analysis with End-to-End Neural Networks. CoRR abs/1808.09238 (2018) - 2016
- [c1]Martin Schmitt:
The Code of Banking: Software as the Digitalization of German Savings Banks. HC 2016: 141-164 - 2013
- [j3]Luca Carlino, Martin Schmitt, Manfred Jung, Wolfgang Sippl:
Ligand-based and structure-based design of novel histone demethylase inhibitors. J. Cheminformatics 5(S-1): 41 (2013) - [j2]Martin Schmitt, Sergei Olfert, Jens Rautenberg, Gerhard Lindner, Bernd Henning, Leonhard M. Reindl:
Multi Reflection of Lamb Wave Emission in an Acoustic Waveguide Sensor. Sensors 13(3): 2777-2785 (2013)
2000 – 2009
- 2009
- [j1]Issam El-Naqa, Perry Grigsby, Aditya P. Apte, Elizabeth Kidd, Eric Donnelly, Divya Khullar, Summer Chaudhari, Deshan Yang, Martin Schmitt, Richard Laforest, Wade L. Thorstad, Joseph Deasy:
Exploring feature-based approaches in PET images for predicting cancer treatment outcomes. Pattern Recognit. 42(6): 1162-1171 (2009)
Coauthor Index
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