| 2025 | AAAI | CVE-LLM: Ontology-Assisted Automatic Vulnerability Evaluation Using Large Language Models. | Rikhiya Ghosh, Hans-Martin von Stockhausen, Martin Schmitt, Vasile George Marica, Sanjeev Kumar Karn, Oladimeji Farri |
| 2022 | AAAI | Improving Scene Graph Classification by Exploiting Knowledge from Texts. | Sahand Sharifzadeh, Sina Moayed Baharlou, Martin Schmitt, Hinrich Schtze, Volker Tresp |
| 2021 | EACL | Language Models for Lexical Inference in Context. | Martin Schmitt, Hinrich Schtze |
| 2021 | EMNLP | Continuous Entailment Patterns for Lexical Inference in Context. | Martin Schmitt, Hinrich Schtze |
| 2020 | COLING | Increasing Learning Efficiency of Self-Attention Networks through Direct Position Interactions, Learnable Temperature, and Convoluted Attention. | Philipp Dufter, Martin Schmitt, Hinrich Schtze |
| 2020 | EMNLP | An Unsupervised Joint System for Text Generation from Knowledge Graphs and Semantic Parsing. | Martin Schmitt, Sahand Sharifzadeh, Volker Tresp, Hinrich Schtze |
| 2019 | ACL | SherLIiC: A Typed Event-Focused Lexical Inference Benchmark for Evaluating Natural Language Inference. | Martin Schmitt, Hinrich Schtze |
| 2018 | ACL | Embedding Learning Through Multilingual Concept Induction. | Philipp Dufter, Mengjie Zhao, Martin Schmitt, Alexander M. Fraser, Hinrich Schtze |
| 2018 | EMNLP | Joint Aspect and Polarity Classification for Aspect-based Sentiment Analysis with End-to-End Neural Networks. | Martin Schmitt, Simon Steinheber, Konrad Schreiber, Benjamin Roth |