MORITZ PLENZ

Moritz Plenz

Contact

+49 6221 54-3169
Email (click to copy)
Institut für Computerlinguistik
Im Neuenheimer Feld 325
D-69120 Heidelberg
Germany

About me / Research Statement:

Since April 2022, I am a Doctoral Student under the supervision of Prof. Dr. Anette Frank at the Department of Computational Linguistics at Heidelberg University. My research focuses on methods to combine Language Models with Knowledge Graphs and is part of the ACCEPT project.
You can find my full CV here.

NEWS

🗣️ Invited Talk at the Mapping Evidence to Theory in Ecology group

4th November 2024

The group organized an workshop on "Interdisciplinary Perspectives on Knowledge Synthesis in Ecology", where I presented out work on Graph Language Models (GLMs). throughout the workshop we discussed many intriguing challenges, in particular how GLMs can aid in such an interdisciplinary setting.

🗣️ Invited Talk at Roosh Circle's Papers Club

24th October 2024

The online presentation on "Graph Reasoning Meets Language Understanding: Methods for Text-Attributed Graphs” was designed for a broad audience, blending both technical and conceptual elements. It covered the basics of Text-Attributed Graphs (TAGs), the challenges of applying Language Models (LMs) or Graph Neural Networks (GNNs) to TAGs, and how Graph Language Models can address these issues. The recording can be viewed here.

PUBLICATIONS

2024
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Graph Language Models

Plenz, M., Frank, A. (2024)

Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (ACL 2024) .

PAKT: Perspectivized Argumentation Knowledge Graph and Tool for Deliberation Analysis

Plenz, M., Heinisch, P., Frank, A., Cimiano, P. (2024)

Proceedings of the 1st International Conference on Recent Advances in Robust Argumentation Machines (RATIO-24) .
2023
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ACCEPT at SemEval-2023 Task 3: An Ensemble-based Approach to Multilingual Framing Detection

Heinisch, P., Plenz, M., Frank, A., Cimiano, P. (2023)

Proceedings of the 17th International Workshop on Semantic Evaluation (SemEval-2023), Toronto, Canada.

Similarity-weighted Construction of Contextualized Commonsense Knowledge Graphs for Knowledge-intense Argumentation Tasks

Plenz, M., Opitz, J., Heinisch, P., Cimiano, P., Frank, A. (2023)

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), Toronto, Canada.

Argument Quality Prediction for Ranking Documents

Plenz, M., Buchmüller, R., Bondarenko, A. (2023)

Working Notes Papers of the CLEF 2023 Evaluation Labs, Thessaloniki, Greece.

TEACHING

Winter 24/25

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Experimente gestalten fürs Maschinelle Lernen

Experimental Methods for Machine Learning