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Juri Opitz
Juri Opitz
Verified email at uzh.ch
Title
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Cited by
Year
Macro f1 and macro f1
J Opitz, S Burst
arXiv preprint arXiv:1911.03347, 2019
255*2019
A mention-ranking model for abstract anaphora resolution
A Marasović, L Born, J Opitz, A Frank
EMNLP 2017, 2017
362017
Amr similarity metrics from principles
J Opitz, L Parcalabescu, A Frank
TACL 2020, 2020
342020
Towards a decomposable metric for explainable evaluation of text generation from amr
J Opitz, A Frank
EACL 2021, 2021
332021
Dissecting content and context in argumentative relation analysis
J Opitz, A Frank
ArgMining @ ACL 2019, 2019
322019
Translate, then parse! a strong baseline for cross-lingual AMR parsing
S Uhrig, YR Garcia, J Opitz, A Frank
arXiv preprint arXiv:2106.04565, 2021
242021
Exploiting background knowledge for argumentative relation classification
J Kobbe, J Opitz, M Becker, I Hulpuş, H Stuckenschmidt, A Frank
2nd Conference on Language, Data and Knowledge (LDK 2019), 2019
242019
Argumentative relation classification with background knowledge
D Paul, J Opitz, M Becker, J Kobbe, G Hirst, A Frank
COMMA 2020, 2020
232020
Addressing the Winograd schema challenge as a sequence ranking task
J Opitz, A Frank
Language Cognition and Computational Models 2018, 41-52, 2018
212018
Weisfeiler-Leman in the Bamboo: Novel AMR Graph Metrics and a Benchmark for AMR Graph Similarity
J Opitz, A Daza, A Frank
Transactions of the Association for Computational Linguistics 9, 1425-1441, 2021
202021
Explainable unsupervised argument similarity rating with Abstract Meaning Representation and conclusion generation
J Opitz, P Heinisch, P Wiesenbach, P Cimiano, A Frank
Proceedings of the 8th Workshop on Argument Mining, 24-35, 2021
172021
Argumentative Relation Classification as Plausibility Ranking
J Opitz
15th Conference on Natural Language Processing (KONVENS 2019), 2019
172019
SBERT studies meaning representations: Decomposing sentence embeddings into explainable semantic features
J Opitz, A Frank
arXiv preprint arXiv:2206.07023, 2022
152022
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
142020
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
132019
Induction of a large-scale knowledge graph from the Regesta Imperii
J Opitz, L Born, V Nastase
Proceedings of the Second Joint SIGHUM Workshop on Computational Linguistics …, 2018
112018
Automatic accuracy prediction for amr parsing
J Opitz, A Frank
8th Joint Conference on Lexical and Computational Semantics, 2019
92019
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
arXiv preprint arXiv:2310.19792, 2023
82023
Overview of the 2022 validity and novelty prediction shared task
P Heinisch, A Frank, J Opitz, M Plenz, P Cimiano
Proceedings of the 9th Workshop on Argument Mining, 84-94, 2022
8*2022
A Dynamic, Interpreted CheckList for Meaning-oriented NLG Metric Evaluation--through the Lens of Semantic Similarity Rating
L Zeidler, J Opitz, A Frank
*SEM 2022, 2022
82022
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Articles 1–20