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Opitz, J., Wein, S., Steen, J., Frank, A., and Schneider, N. (2023):
AMR4NLI:
Interpretable and robust NLI measures from semantic graphs. Proceedings
of the 15th International Conference on Computational Semantics (IWCS
2023), Association for Computational Linguistics.
[ bib | http ]
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Opitz, J., Meier, P., and Frank, A. (2023):
SMARAGD: Learning SMatch for
Accurate and Rapid Approximate Graph Distance. Proceedings of the 15th
International Conference on Computational Semantics (IWCS 2023),
Association for Computational Linguistics.
[ bib | http ]
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Plenz, M., Opitz, J., Heinisch, P., Cimiano, P., and Frank, A. (2023):
Similarity-weighted Construction of Contextualized Commonsense Knowledge
Graphs for Knowledge-intense Argumentation Tasks. Proceedings of the
61st Annual Meeting of the Association for Computational Linguistics (Volume
1: Long Papers), Association for Computational Linguistics.
[ bib | http | code ]
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Heinisch, P., Frank, A., Opitz, J., and Cimiano, P. (2022):
Strategies for
Framing Argumentative Conclusion Generation. Proceedings of the 15th
International Natural Language Generation Conference, Association for
Computational Linguistics.
[ bib | http ]
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Heinisch, P., Plenz, M., Opitz, J., Frank, A., and Cimiano, P. (2022):
Data
Augmentation for Improving the Prediction of Validity and Novelty of
Argumentative Conclusions. Proceedings of the 9th Workshop on Argument
Mining (ArgMining), Online and in Gyeongju, Republic of Korea,
International Conference on Computational Linguistics.
[ bib | http ]
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Heinisch, P., Frank, A., Opitz, J., Plenz, M., and Cimiano, P. (2022):
Overview
of the 2022 Validity and Novelty Prediction Shared Task. Proceedings of
the 9th Workshop on Argument Mining (ArgMining), Online and in Gyeongju,
Republic of Korea, International Conference on Computational Linguistics.
[ bib | http ]
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Opitz, J. and Frank, A. (2022):
Better Smatch = Better Parser? AMR evaluation
is not so simple anymore . Proceedings of the 3rd Workshop on
Evaluation & Comparison of NLP Systems (Eval4NLP 2022) ,co-located at AACL
2022, Association for Computational Linguistics.
[ bib | http ]
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Opitz, J. and Frank, A. (2022):
SBERT studies Meaning Representations:
Decomposing Sentence Embeddings into Explainable Semantic Features. Proceedings of the 2nd Conference of the Asia-Pacific Chapter of the
Association for Computational Linguistics and the 12th International Joint
Conference on Natural Language Processing (AACL-IJCNLP 2022), Online,
Association for Computational Linguistics.
[ bib | http ]
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Zeidler, L., Opitz, J., and Frank, A. (2022):
A Dynamic, Interpreted CheckList
for Meaning-oriented NLG Metric Evaluation – through the Lens of Semantic
Similarity Rating. Proceedings of the 11th Joint Conference on Lexical
and Computational Semantics (*SEM), Association for Computational
Linguistics.
[ bib | http ]
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Opitz, J., Daza, A., and Frank, A. (2021):
Weisfeiler-Leman in the BAMBOO:
Novel AMR Graph Metrics and a Benchmark for AMR Graph Similarity. Transactions of the Association for Computational Linguistics (TACL), 9.
[ bib | http ]
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Opitz, J., Heinisch, P., Wiesenbach, P., Cimiano, P., and Frank, A. (2021):
Explainable Unsupervised Argument Similarity Rating with Abstract Meaning
Representation and Conclusion Generation. Proceedings of the Eighth
Argument Mining Workshop, Association for Computational Linguistics, *Best
Paper Award*.
[ bib | http ]
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Opitz, J. and Frank, A. (2021):
Towards a Decomposable Metric for Explainable
Evaluation of Text Generation from AMR. Proceedings of the 16th
Conference of the European Chapter of the Association for Computational
Linguistics (EACL 2021), Online, Association for Computational
Linguistics.
[ bib | http ]
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Uhrig, S., Garcia, Y., Opitz, J., and Frank, A. (2021):
Translate, then Parse!
A strong baseline for Cross-Lingual AMR Parsing. Proceedings of the
17th International Conference on Parsing Technologies and the IWPT 2021
Shared Task on Parsing into Enhanced Universal Dependencies (IWPT 2021),
Online, Association for Computational Linguistics.
[ bib | http ]
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Becker, M., Hulpus, I., Paul, D., Opitz, J., Kobbe, J., Stuckenschmidt, H., and
Frank, A. (2020):
Explaining Arguments with Background Knowledge -- Towards
Knowledge-based Argumentation Analysis . Datenbank Spektrum (Special
Issue: Argumentation Intelligence), 20.
[ bib | http ]
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Opitz, J. (2020):
AMR Quality Rating with a Lightweight CNN. Proceedings
of the 1st Conference of the Asia-Pacific Chapter of the Association for
Computational Linguistics and the 10th International Joint Conference on
Natural Language Processing, Suzhou, China, Association for Computational
Linguistics.
[ bib | http ]
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Opitz, J., Parcalabescu, L., and Frank, A. (2020):
AMR Similarity Metrics from
Principles. Transactions of the Association for Computational
Linguistics, 8.
[ bib | http ]
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Paul, D., Opitz, J., Becker, M., Kobbe, J., Hirst, G., and Frank, A. (2020):
Argumentative Relation Classification with Background Knowledge. Proceedings of the 8th International Conference on Computational Models of
Argument (COMMA 2020), vol. 326 of Frontiers in Artificial
Intelligence and Applications, Computational Models of Argument, *Best
Student Paper Award Nomination* (3 runner-ups).
[ bib | http ]
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Hulpus, I., Kobbe, J., Becker, M., Opitz, J., Hirst, G., Meilicke, C., Nastase,
V., Stuckenschmidt, H., and Frank, A. (2019):
Towards Explaining Natural
Language Arguments with Background Knowledge. 1st Workshop on Semantic
Explainability – co-located with the 18th International Semantic Web
Conference (ISWC 2019).
[ bib | http ]
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Kobbe, J., Opitz, J., Becker, M., Hulpus, I., Stuckenschmidt, H., and Frank, A.
(2019):
Exploiting Background Knowledge for Argumentative Relation
Classification. Eskevich, M., de~Melo, G., Fäth, C., McCrae, J.~P.,
Buitelaar, P., Chiarcos, C., Klimek, B., and Dojchinovski, M. (eds.), 2nd Conference on Language, Data and Knowledge (LDK 2019), vol.~70 of OASIcs.
[ bib | http ]
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Opitz, J. and Burst, S. (2019):
Macro F1 and Macro F1. arXiv preprint
arXiv:1911.03347.
[ bib | http ]
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Opitz, J., Born, L., Nastase, V., and Pultar, Y. (2019):
Automatic
Reconstruction of Emperor Itineraries from the Regesta Imperii. Proceedings of the 3rd Conference for Digital Access to Textual Cultural
Heritage (DATeCH), Brussels, Belgium.
[ bib | http ]
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Opitz, J. and Frank, A. (2019):
Dissecting Content and Context in Argumentative
Relation Analysis. Proceedings of the Sixth Workshop on Argument
Mining, Florence, Italy, Association for Computational Linguistics.
[ bib | http ]
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Opitz, J., Born, L., and Nastase, V. (2018):
Induction of a Large-Scale
Knowledge Graph from the Regesta Imperii. Proceedings of the 2nd Joint
SIGHUM Workshop on Computational Linguistics for Cultural Heritage, Social
Sciences, Humanities and Literature (LaTeCH-CLfL), Santa Fe, New Mexico.
[ bib | http ]
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Opitz, J. and Frank, A. (2018):
Addressing the Winograd Schema Challenge as a
Sequence Ranking Task. Proceedings of the 1st International Workshop on
Language, Cognition and Computational Models (LCCM), Santa Fe, New Mexico.
[ bib | http ]