Papers by Moritz Plenz

3 papers
From Argumentation to Deliberation: Perspectivized Stance Vectors for Fine-grained (Dis)agreement Analysis (2025.findings-naacl)

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Challenge: Existing methods to identify conflict resolution points require a deeper analysis of arguments and the perspectives they are grounded in.
Approach: They propose a framework for a deliberative analysis of arguments in a computational argumentation setup.
Outcome: The proposed framework allows us to identify actionable options for conflict resolution, as a first step towards deliberation.
Graph Language Models (2024.acl-long)

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Challenge: Language Models (LMs) are the workhorses of NLP, but their interplay with structured knowledge graphs (KGs) is still actively researched.
Approach: They propose a Graph Language Model (GLM) that integrates the strengths of both approaches and mitigates their weaknesses.
Outcome: Empirical evaluations show that the proposed model surpasses both LM- and GNN-based baselines in supervised and zero-shot setting, demonstrating their versatility.
Similarity-weighted Construction of Contextualized Commonsense Knowledge Graphs for Knowledge-intense Argumentation Tasks (2023.acl-long)

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Challenge: Arguments often do not make explicit how a conclusion follows from its premises . we present a method for constructing Contextualized Commonsense Knowledge Graphs (CCKGs) that is efficient and high-quality .
Approach: They propose an unsupervised method for constructing Contextualized Commonsense Knowledge Graphs (CCKGs) they use triplet similarities to extract contextually relevant knowledge paths .
Outcome: The proposed method outperforms baselines and a GPT-3 based system in a knowledge-intense argumentation task.

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