DR. JURI OPITZ

Juri Opitz

About me:

From 2018 to 2023 I worked in the Natural Language Processing Group of Anette Frank at the Department of Computational Linguistics at Heidelberg University: researching, teaching, advising students, and writing my doctoral thesis.

For more recent information please see my personal webpage.

PUBLICATIONS

2022
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Strategies for Framing Argumentative Conclusion Generation

Heinisch, P., Frank, A., Opitz, J., Cimiano, P. (2022)

Proceedings of the 15th International Natural Language Generation Conference.

Data Augmentation for Improving the Prediction of Validity and Novelty of Argumentative Conclusions

Heinisch, P., Plenz, M., Opitz, J., Frank, A., Cimiano, P. (2022)

Proceedings of the 9th Workshop on Argument Mining (ArgMining), Online and in Gyeongju, Republic of Korea.

Overview of the 2022 Validity and Novelty Prediction Shared Task

Heinisch, P., Frank, A., Opitz, J., Plenz, M., Cimiano, P. (2022)

Proceedings of the 9th Workshop on Argument Mining (ArgMining), Online and in Gyeongju, Republic of Korea.

Better Smatch = Better Parser? AMR evaluation is not so simple anymore

Opitz, J., Frank, A. (2022)

Proceedings of the 3rd Workshop on Evaluation & Comparison of NLP Systems (Eval4NLP 2022) ,co-located at AACL 2022.

SBERT studies Meaning Representations: Decomposing Sentence Embeddings into Explainable Semantic Features

Opitz, J., Frank, A. (2022)

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.

A Dynamic, Interpreted CheckList for Meaning-oriented NLG Metric Evaluation – through the Lens of Semantic Similarity Rating

Zeidler, L., Opitz, J., Frank, A. (2022)

Proceedings of the 11th Joint Conference on Lexical and Computational Semantics (*SEM).
2021
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Weisfeiler-Leman in the BAMBOO: Novel AMR Graph Metrics and a Benchmark for AMR Graph Similarity

Opitz, J., Daza, A., Frank, A. (2021)

Transactions of the Association for Computational Linguistics (TACL).

Explainable Unsupervised Argument Similarity Rating with Abstract Meaning Representation and Conclusion Generation

Opitz, J., Heinisch, P., Wiesenbach, P., Cimiano, P., Frank, A. (2021)

Proceedings of the Eighth Argument Mining Workshop, Punta Cana, Dominican Republic.

Towards a Decomposable Metric for Explainable Evaluation of Text Generation from AMR

Opitz, J., Frank, A. (2021)

Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics (EACL 2021), Online.

Translate, then Parse! A strong baseline for Cross-Lingual AMR Parsing

Uhrig, S., Garcia, Y., Opitz, J., Frank, A. (2021)

Proceedings of the 17th International Conference on Parsing Technologies and the IWPT 2021 Shared Task on Parsing into Enhanced Universal Dependencies (IWPT 2021), Online.
2020
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Explaining Arguments with Background Knowledge -- Towards Knowledge-based Argumentation Analysis

Becker, M., Hulpus, I., Paul, D., Opitz, J., Kobbe, J., Stuckenschmidt, H., Frank, A. (2020)

Datenbank Spektrum (Special Issue: Argumentation Intelligence).

AMR Quality Rating with a Lightweight CNN

Opitz, J. (2020)

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.

AMR Similarity Metrics from Principles

Opitz, J., Parcalabescu, L., Frank, A. (2020)

Transactions of the Association for Computational Linguistics.

Argumentative Relation Classification with Background Knowledge.

Paul, D., Opitz, J., Becker, M., Kobbe, J., Hirst, G., Frank, A. (2020)

Proceedings of the 8th International Conference on Computational Models of Argument (COMMA 2020).
2019
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Towards Explaining Natural Language Arguments with Background Knowledge

Hulpus, I., Kobbe, J., Becker, M., Opitz, J., Hirst, G., Meilicke, C., Nastase, V., Stuckenschmidt, H., Frank, A. (2019)

1st Workshop on Semantic Explainability – co-located with the 18th International Semantic Web Conference (ISWC 2019) .

Exploiting Background Knowledge for Argumentative Relation Classification

Kobbe, J., Opitz, J., Becker, M., Hulpus, I., Stuckenschmidt, H., Frank, A. (2019)

2nd Conference on Language, Data and Knowledge (LDK 2019).

Macro F1 and Macro F1

Opitz, J., Burst, S. (2019)

arXiv preprint arXiv:1911.03347.

Automatic Reconstruction of Emperor Itineraries from the Regesta Imperii

Opitz, J., Born, L., Nastase, V., Pultar, Y. (2019)

Proceedings of the 3rd Conference for Digital Access to Textual Cultural Heritage (DATeCH), Brussels, Belgium.

Dissecting Content and Context in Argumentative Relation Analysis

Opitz, J., Frank, A. (2019)

Proceedings of the Sixth Workshop on Argument Mining, Florence, Italy.
2018
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Induction of a Large-Scale Knowledge Graph from the Regesta Imperii

Opitz, J., Born, L., Nastase, V. (2018)

Proceedings of the 2nd Joint SIGHUM Workshop on Computational Linguistics for Cultural Heritage, Social Sciences, Humanities and Literature (LaTeCH-CLfL), Santa Fe, New Mexico.

Addressing the Winograd Schema Challenge as a Sequence Ranking Task

Opitz, J., Frank, A. (2018)

Proceedings of the 1st International Workshop on Language, Cognition and Computational Models (LCCM), Santa Fe, New Mexico.
2017
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A Mention-Ranking Model for Abstract Anaphora Resolution

Marasović, A., Born, L., Opitz, J., Frank, A. (2017)

Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing (EMNLP), Copenhagen, Denmark.
2016
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Deriving Players & Themes in the Regesta Imperii using SVMs and Neural Networks

Opitz, J., Frank, A. (2016)

Proceedings of the 10th Workshop on Language Technology for Cultural Heritage, Social Sciences, and Humanities (LaTeCH), Berlin, Germany.

Software

Please pay a visit to my Github Repository.

You can find:

Teaching

2022

Advanced programming (lecture)

Computational argumentation

2021

(Trans|Lin|Long..)-Former: Self attention mechanisms

2020

Seminar Recent advances in meaning representation parsing and generation

Schedule and overview (pdf)

Seminar Computational Argumentation

Schedule and overview (pdf)

2019

Computational humanities workshop @HCH19:

Providing new views on text collections with knowledge graphs ; slides ; code

Notes

A structured overview of multi-class evaluation metrics

During teaching and research, a re-occuring question seems to be: What evaluation metric should I use? Why does paper x use metric y for evaluating their classifier?. A summary and overview of evaluation and common classification metrics (Macro F1, Weighted F1, Accuracy, Kappa, MCC, etc.) can be found in this TACL paper. (There's also an old and outdated preliminary notes.) Also of interest may be the analysis two homonymic metrics: Macro F1 and Macro F1.