| Macro f1 and macro f1 J Opitz, S Burst arXiv preprint arXiv:1911.03347, 2019 | 305* | 2019 |
| Amr similarity metrics from principles J Opitz, L Parcalabescu, A Frank TACL, 2020 | 44 | 2020 |
| Towards a decomposable metric for explainable evaluation of text generation from amr J Opitz, A Frank EACL, 2021 | 37 | 2021 |
| A mention-ranking model for abstract anaphora resolution A Marasović, L Born, J Opitz, A Frank EMNLP, 2017 | 36 | 2017 |
| Dissecting content and context in argumentative relation analysis J Opitz, A Frank Argument Mining, 2019 | 35 | 2019 |
| SBERT studies meaning representations: Decomposing sentence embeddings into explainable semantic features J Opitz, A Frank AACL, 2022 | 33* | 2022 |
| Weisfeiler-leman in the bamboo: Novel amr graph metrics and a benchmark for amr graph similarity J Opitz, A Daza, A Frank TACL, 2021 | 30 | 2021 |
| Translate, then parse! a strong baseline for cross-lingual AMR parsing S Uhrig, YR Garcia, J Opitz, A Frank International Conference on Parsing Technologies, 2021 | 28 | 2021 |
| Argumentative relation classification with background knowledge D Paul, J Opitz, M Becker, J Kobbe, G Hirst, A Frank COMMA, 2020 | 27 | 2020 |
| Exploiting background knowledge for argumentative relation classification J Kobbe, J Opitz, M Becker, I Hulpuş, H Stuckenschmidt, A Frank LDK 2019, 2019 | 27 | 2019 |
| Addressing the Winograd schema challenge as a sequence ranking task J Opitz, A Frank Language Cognition and Computational Models 2018, 41-52, 2018 | 25 | 2018 |
| The eval4nlp 2023 shared task on prompting large language models as explainable metrics C Leiter, J Opitz, D Deutsch, Y Gao, R Dror, S Eger Eval4NLP, 2023 | 21 | 2023 |
| Explainable unsupervised argument similarity rating with Abstract Meaning Representation and conclusion generation J Opitz, P Heinisch, P Wiesenbach, P Cimiano, A Frank Argument Mining, 2021 | 21 | 2021 |
| Argumentative Relation Classification as Plausibility Ranking J Opitz KONVENS, 2019 | 20 | 2019 |
| Towards Explaining Natural Language Arguments with Background Knowledge. I Hulpus, J Kobbe, C Meilicke, H Stuckenschmidt, M Becker, J Opitz, ... PROFILES/SEMEX@ ISWC, 62-77, 2019 | 19 | 2019 |
| Explaining arguments with background knowledge: Towards knowledge-based argumentation analysis M Becker, I Hulpuş, J Opitz, D Paul, J Kobbe, H Stuckenschmidt, A Frank Datenbank-Spektrum 20, 131-141, 2020 | 16 | 2020 |
| SMATCH++: Standardized and Extended Evaluation of Semantic Graphs J Opitz Findings of ACL, 2023 | 14 | 2023 |
| Better Smatch= better parser? AMR evaluation is not so simple anymore J Opitz, A Frank Eval4NLP, 2022 | 12 | 2022 |
| Induction of a large-scale knowledge graph from the Regesta Imperii J Opitz, L Born, V Nastase Computational Linguistics for Cultural Heritage, Social Sciences, Humanities …, 2018 | 12 | 2018 |
| Similarity-weighted construction of contextualized commonsense knowledge graphs for knowledge-intense argumentation tasks M Plenz, J Opitz, P Heinisch, P Cimiano, A Frank ACL, 2023 | 10 | 2023 |
