Philipp Heinisch
Orcid: 0009-0002-8079-5570
According to our database1,
Philipp Heinisch
authored at least 13 papers
between 2021 and 2024.
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Bibliography
2024
PAKT: Perspectivized Argumentation Knowledge Graph and Tool for Deliberation Analysis (with Supplementary Materials).
CoRR, 2024
PAKT: Perspectivized Argumentation Knowledge Graph and Tool for Deliberation Analysis [inline-graphic not available: see fulltext].
Proceedings of the Robust Argumentation Machines - First International Conference, 2024
"Tell me who you are and I tell you how you argue": Predicting Stances and Arguments for Stakeholder Groups.
Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2024, 2024
2023
Proceedings of the 24th Meeting of the Special Interest Group on Discourse and Dialogue, 2023
ACCEPT at SemEval-2023 Task 3: An Ensemble-based Approach to Multilingual Framing Detection.
Proceedings of the The 17th International Workshop on Semantic Evaluation, 2023
Architectural Sweet Spots for Modeling Human Label Variation by the Example of Argument Quality: It's Best to Relate Perspectives!
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023
Proceedings of the 10th Workshop on Argument Mining, 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), 2023
2022
Data Augmentation for Improving the Prediction of Validity and Novelty of Argumentative Conclusions.
Proceedings of the 9th Workshop on Argument Mining, 2022
Proceedings of the 9th Workshop on Argument Mining, 2022
2021
A multi-task approach to argument frame classification at variable granularity levels.
it Inf. Technol., 2021
Explainable Unsupervised Argument Similarity Rating with Abstract Meaning Representation and Conclusion Generation.
Proceedings of the 8th Workshop on Argument Mining, 2021
Proceedings of the 8th Workshop on Argument Mining, 2021