Search Results for author: Johannes Kiesel

Found 16 papers, 6 papers with code

Image Retrieval for Arguments Using Stance-Aware Query Expansion

no code implementations EMNLP (ArgMining) 2021 Johannes Kiesel, Nico Reichenbach, Benno Stein, Martin Potthast

Many forms of argumentation employ images as persuasive means, but research in argument mining has been focused on verbal argumentation so far.

Argument Mining Argument Retrieval +2

Identifying the Human Values behind Arguments

1 code implementation ACL 2022 Johannes Kiesel, Milad Alshomary, Nicolas Handke, Xiaoni Cai, Henning Wachsmuth, Benno Stein

First experiments with the automatic classification of human values are promising, with F_1-scores up to 0. 81 and 0. 25 on average.

Argument Mining

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

SCAI-QReCC Shared Task on Conversational Question Answering

1 code implementation LREC 2022 Svitlana Vakulenko, Johannes Kiesel, Maik Fröbe

Search-Oriented Conversational AI (SCAI) is an established venue that regularly puts a spotlight upon the recent work advancing the field of conversational search.

Answer Generation Conversational Question Answering +1

Continuous Quality Control and Advanced Text Segment Annotation with WAT-SL 2.0

1 code implementation WS 2019 Christina Lohr, Johannes Kiesel, Stephanie Luther, Johannes Hellrich, Tobias Kolditz, Benno Stein, Udo Hahn

Today{'}s widely used annotation tools were designed for annotating typically short textual mentions of entities or relations, making their interface cumbersome to use for long(er) stretches of text, e. g, sentences running over several lines in a document.

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

A Stylometric Inquiry into Hyperpartisan and Fake News

1 code implementation ACL 2018 Martin Potthast, Johannes Kiesel, Kevin Reinartz, Janek Bevendorff, Benno Stein

The articles originated from 9 well-known political publishers, 3 each from the mainstream, the hyperpartisan left-wing, and the hyperpartisan right-wing.

Authorship Verification Fake News Detection +1

A News Editorial Corpus for Mining Argumentation Strategies

no code implementations COLING 2016 Khalid Al-Khatib, Henning Wachsmuth, Johannes Kiesel, Matthias Hagen, Benno Stein

Many argumentative texts, and news editorials in particular, follow a specific strategy to persuade their readers of some opinion or attitude.

Argument Mining

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