Search Results for author: Yamen Ajjour

Found 7 papers, 2 papers with code

Modern Talking in Key Point Analysis: Key Point Matching using Pretrained Encoders

1 code implementation EMNLP (ArgMining) 2021 Jan Heinrich Reimer, Thi Kim Hanh Luu, Max Henze, Yamen Ajjour

We contribute to the ArgMining 2021 shared task on Quantitative Summarization and Key Point Analysis with two approaches for argument key point matching.

Key Point Matching

Topic Ontologies for Arguments

no code implementations23 Jan 2023 Yamen Ajjour, Johannes Kiesel, Benno Stein, Martin Potthast

Many computational argumentation tasks, like stance classification, are topic-dependent: the effectiveness of approaches to these tasks significantly depends on whether the approaches were trained on arguments from the same topics as those they are tested on.

Stance Classification Topic coverage

Unit Segmentation of Argumentative Texts

1 code implementation WS 2017 Yamen Ajjour, Wei-Fan Chen, Johannes Kiesel, Henning Wachsmuth, Benno Stein

The segmentation of an argumentative text into argument units and their non-argumentative counterparts is the first step in identifying the argumentative structure of the text.

Argument Mining Segmentation

``PageRank'' for Argument Relevance

no code implementations EACL 2017 Henning Wachsmuth, Benno Stein, Yamen Ajjour

Future search engines are expected to deliver pro and con arguments in response to queries on controversial topics.

Argument Mining

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