| Text processing like humans do: Visually attacking and shielding NLP systems S Eger, GG Şahin, A Rücklé, JU Lee, C Schulz, M Mesgar, K Swarnkar, ... NAACL, 2019 | 185 | 2019 |
| A neural local coherence model for text quality assessment M Mesgar, M Strube EMNLP, 2018 | 111 | 2018 |
| Generating coherent summaries of scientific articles using coherence patterns D Parveen, M Mesgar, M Strube EMNLP, 2016 | 68 | 2016 |
| Graph-based coherence modeling for assessing readability M Mesgar, M Strube *SEM, 2015 | 46 | 2015 |
| Lexical coherence graph modeling using word embeddings M Mesgar, M Strube NAACL, 2016 | 42 | 2016 |
| Generating persona-consistent dialogue responses using deep reinforcement learning M Mesgar, E Simpson, I Gurevych EACL, 2021 | 38* | 2021 |
| Dialogue coherence assessment without explicit dialogue act labels M Mesgar, S Bücker, I Gurevych ACL, 2020 | 31* | 2020 |
| Reward Learning for Efficient Reinforcement Learning in Extractive Document Summarisation Y Gao, C M. Meyer, M Mesgar, I Gurevych IJCAI, 2019 | 27 | 2019 |
| LLMs Beyond English: Scaling the Multilingual Capability of LLMs with Cross-Lingual Feedback W Lai, M Mesgar, A Fraser ACL-Findings 2024, 2024 | 19 | 2024 |
| Using a graph-based coherence model in document-level machine translation L Born, M Mesgar, M Strube DicsoMT, 2017 | 13 | 2017 |
| Normalized entity graph for computing local coherence M Mesgar, M Strube TextGraph, 2014 | 13 | 2014 |
| Python Code Generation by Asking Clarification Questions HS Li, M Mesgar, AFT Martins, I Gurevych ACL, 2022 | 10* | 2022 |
| A neural graph-based local coherence model M Mesgar, LFR Ribeiro, I Gurevych EMNLP-Findings 2021, 2021 | 10 | 2021 |
| A Dataset of Argumentative Dialogues on Scientific Papers F Ruggeri, M Mesgar, I Gurevych ACL, 2023 | 9* | 2023 |
| FREB-TQA: A Fine-Grained Robustness Evaluation Benchmark for Table Question Answering W Zhou, M Mesgar, H Adel, A Friedrich NAACL, 2024 | 5 | 2024 |
| The Devil is in the Details: On Models and Training Regimes for Few-Shot Intent Classification M Mesgar, TT Tran, G Glavas, I Gurevych EACL, 2023 | 5 | 2023 |
| Feature-rich error detection in scientific writing using logistic regression M Remse, M Mesgar, M Strube NLP for Building Educational Applications Workshop, 2016 | 5 | 2016 |
| A natural language interface for an energy system model J Hulsmann, LJ Sieben, M Mcsgar, F Steinke IEEE, 1-5, 2021 | 4 | 2021 |
| When is acl's deadline? a scientific conversational agent M Mesgar, P Youssef, L Li, D Bierwirth, Y Li, CM Meyer, I Gurevych arXiv preprint arXiv:1911.10392, 2019 | 3 | 2019 |
| Is the Answer in the Text? Challenging ChatGPT with Evidence Retrieval from Instructive Text S Henning, T Anthonio, W Zhou, H Adel, M Mesgar, A Friedrich EMNLP, 2023 | 2 | 2023 |
Iryna GurevychFull Professor, TU Darmstadt; Adjunct Professor, MBZUAI, UAE; Affiliated Professor, INSAIT, BulgariaПідтверджена електронна адреса в cs.tu-darmstadt.de
