Investigating pretrained language models for graph-to-text generation LFR Ribeiro, M Schmitt, H Schütze, I Gurevych arXiv preprint arXiv:2007.08426, 2020 | 183 | 2020 |
Joint aspect and polarity classification for aspect-based sentiment analysis with end-to-end neural networks M Schmitt, S Steinheber, K Schreiber, B Roth arXiv preprint arXiv:1808.09238, 2018 | 130 | 2018 |
Position information in transformers: An overview P Dufter, M Schmitt, H Schütze Computational Linguistics 48 (3), 733-763, 2022 | 129 | 2022 |
An unsupervised joint system for text generation from knowledge graphs and semantic parsing M Schmitt, S Sharifzadeh, V Tresp, H Schütze arXiv preprint arXiv:1904.09447, 2019 | 47* | 2019 |
Modeling Graph Structure via Relative Position for Text Generation from Knowledge Graphs M Schmitt, LFR Ribeiro, P Dufter, G Iryna, H Schütze Fifteenth Workshop on Graph-Based Methods for Natural Language Processing …, 2021 | 26 | 2021 |
SherLIiC: A typed event-focused lexical inference benchmark for evaluating natural language inference M Schmitt, H Schütze arXiv preprint arXiv:1906.01393, 2019 | 24 | 2019 |
Embedding learning through multilingual concept induction P Dufter, M Zhao, M Schmitt, A Fraser, H Schütze arXiv preprint arXiv:1801.06807, 2018 | 23 | 2018 |
Ranking vs. classifying: Measuring knowledge base completion quality M Speranskaya, M Schmitt, B Roth arXiv preprint arXiv:2102.06145, 2021 | 17 | 2021 |
Language models for lexical inference in context M Schmitt, H Schütze arXiv preprint arXiv:2102.05331, 2021 | 13 | 2021 |
Increasing learning efficiency of self-attention networks through direct position interactions, learnable temperature, and convoluted attention P Dufter, M Schmitt, H Schütze | 7 | 2020 |
Combining machine learning and Semantic features in the classification of corporate disclosures S Evert, P Heinrich, K Henselmann, U Rabenstein, E Scherr, M Schmitt, ... Journal of Logic, Language and Information 28, 309-330, 2019 | 7 | 2019 |
Improving visual reasoning by exploiting the knowledge in texts S Sharifzadeh, SM Baharlou, M Schmitt, H Schütze, V Tresp arXiv preprint arXiv:2102.04760, 2021 | 2 | 2021 |
On knowledge-based approaches to Text Classification M Schmitt | | |