Search Results for author: Henning Wachsmuth

Found 63 papers, 24 papers with code

Argument from Old Man’s View: Assessing Social Bias in Argumentation

no code implementations COLING (ArgMining) 2020 Maximilian Spliethöver, Henning Wachsmuth

Social bias in language - towards genders, ethnicities, ages, and other social groups - poses a problem with ethical impact for many NLP applications.

Word Embeddings

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

Task Proposal: Abstractive Snippet Generation for Web Pages

no code implementations INLG (ACL) 2020 Shahbaz Syed, Wei-Fan Chen, Matthias Hagen, Benno Stein, Henning Wachsmuth, Martin Potthast

We propose a shared task on abstractive snippet generation for web pages, a novel task of generating query-biased abstractive summaries for documents that are to be shown on a search results page.

Abstractive Text Summarization

Persuasiveness of News Editorials depending on Ideology and Personality

no code implementations COLING (PEOPLES) 2020 Roxanne El Baff, Khalid Al Khatib, Benno Stein, Henning Wachsmuth

News editorials aim to shape the opinions of their readership and the general public on timely controversial issues.

Analyzing Culture-Specific Argument Structures in Learner Essays

1 code implementation ArgMining (ACL) 2022 Wei-Fan Chen, Mei-Hua Chen, Garima Mudgal, Henning Wachsmuth

Based on the ICLE corpus containing essays written by English learners of 16 different mother tongues, we train natural language processing models to mine argumentative discourse units (ADUs) as well as to assess the essays’ quality in terms of organization and argument strength.

Cultural Vocal Bursts Intensity Prediction

To Revise or Not to Revise: Learning to Detect Improvable Claims for Argumentative Writing Support

1 code implementation26 May 2023 Gabriella Skitalinskaya, Henning Wachsmuth

Optimizing the phrasing of argumentative text is crucial in higher education and professional development.

Modeling Appropriate Language in Argumentation

1 code implementation24 May 2023 Timon Ziegenbein, Shahbaz Syed, Felix Lange, Martin Potthast, Henning Wachsmuth

Online discussion moderators must make ad-hoc decisions about whether the contributions of discussion participants are appropriate or should be removed to maintain civility.

Conclusion-based Counter-Argument Generation

no code implementations24 Jan 2023 Milad Alshomary, Henning Wachsmuth

In real-world debates, the most common way to counter an argument is to reason against its main point, that is, its conclusion.

No Word Embedding Model Is Perfect: Evaluating the Representation Accuracy for Social Bias in the Media

1 code implementation7 Nov 2022 Maximilian Spliethöver, Maximilian Keiff, Henning Wachsmuth

To cover the whole spectrum of political bias in the US, we collect 500k articles and review psychology literature with respect to expected social bias.

"Mama Always Had a Way of Explaining Things So I Could Understand'': A Dialogue Corpus for Learning to Construct Explanations

1 code implementation6 Sep 2022 Henning Wachsmuth, Milad Alshomary

As AI is more and more pervasive in everyday life, humans have an increasing demand to understand its behavior and decisions.

The Moral Debater: A Study on the Computational Generation of Morally Framed Arguments

1 code implementation ACL 2022 Milad Alshomary, Roxanne El Baff, Timon Gurcke, Henning Wachsmuth

An audience's prior beliefs and morals are strong indicators of how likely they will be affected by a given argument.

Controlled Neural Sentence-Level Reframing of News Articles

no code implementations Findings (EMNLP) 2021 Wei-Fan Chen, Khalid Al-Khatib, Benno Stein, Henning Wachsmuth

Reframing is related to adapting style and sentiment, which can be tackled with neural text generation techniques.

Text Generation

Syntopical Graphs for Computational Argumentation Tasks

no code implementations ACL 2021 Joe Barrow, Rajiv Jain, Nedim Lipka, Franck Dernoncourt, Vlad Morariu, Varun Manjunatha, Douglas Oard, Philip Resnik, Henning Wachsmuth

Approaches to computational argumentation tasks such as stance detection and aspect detection have largely focused on the text of independent claims, losing out on potentially valuable context provided by the rest of the collection.

Stance Detection

Employing Argumentation Knowledge Graphs for Neural Argument Generation

1 code implementation ACL 2021 Khalid Al Khatib, Lukas Trautner, Henning Wachsmuth, Yufang Hou, Benno Stein

Generating high-quality arguments, while being challenging, may benefit a wide range of downstream applications, such as writing assistants and argument search engines.

Knowledge Graphs Text Generation

Scientia Potentia Est -- On the Role of Knowledge in Computational Argumentation

no code implementations1 Jul 2021 Anne Lauscher, Henning Wachsmuth, Iryna Gurevych, Goran Glavaš

Despite extensive research efforts in recent years, computational argumentation (CA) remains one of the most challenging areas of natural language processing.

Common Sense Reasoning Natural Language Understanding

Generating Informative Conclusions for Argumentative Texts

1 code implementation Findings (ACL) 2021 Shahbaz Syed, Khalid Al-Khatib, Milad Alshomary, Henning Wachsmuth, Martin Potthast

Third, insights are provided into the suitability of our corpus for the task, the differences between the two generation paradigms, the trade-off between informativeness and conciseness, and the impact of encoding argumentative knowledge.


Learning From Revisions: Quality Assessment of Claims in Argumentation at Scale

1 code implementation EACL 2021 Gabriella Skitalinskaya, Jonas Klaff, Henning Wachsmuth

However, even if different claims share the same stance on the same topic, their assessment depends on the prior perception and weighting of the different aspects of the topic being discussed.


Belief-based Generation of Argumentative Claims

1 code implementation EACL 2021 Milad Alshomary, Wei-Fan Chen, Timon Gurcke, Henning Wachsmuth

In this work, we aim to bridge this gap by studying the task of belief-based claim generation: Given a controversial topic and a set of beliefs, generate an argumentative claim tailored to the beliefs.

Informativeness Text Generation

Mining Crowdsourcing Problems from Discussion Forums of Workers

no code implementations COLING 2020 Zahra Nouri, Henning Wachsmuth, Gregor Engels

Crowdsourcing is used in academia and industry to solve tasks that are easy for humans but hard for computers, in natural language processing mostly to annotate data.

Argument from Old Man's View: Assessing Social Bias in Argumentation

1 code implementation24 Nov 2020 Maximilian Spliethöver, Henning Wachsmuth

Social bias in language - towards genders, ethnicities, ages, and other social groups - poses a problem with ethical impact for many NLP applications.

Word Embeddings

Semi-Supervised Cleansing of Web Argument Corpora

1 code implementation COLING (ArgMining) 2020 Jonas Dorsch, Henning Wachsmuth

Debate portals and similar web platforms constitute one of the main text sources in computational argumentation research and its applications.

Intrinsic Quality Assessment of Arguments

no code implementations COLING 2020 Henning Wachsmuth, Till Werner

Several quality dimensions of natural language arguments have been investigated.

Detecting Media Bias in News Articles using Gaussian Bias Distributions

1 code implementation Findings of the Association for Computational Linguistics 2020 Wei-Fan Chen, Khalid Al-Khatib, Benno Stein, Henning Wachsmuth

In particular, we utilize the probability distributions of the frequency, positions, and sequential order of lexical and informational sentence-level bias in a Gaussian Mixture Model.

Bias Detection text-classification +1

Analyzing Political Bias and Unfairness in News Articles at Different Levels of Granularity

1 code implementation EMNLP (NLP+CSS) 2020 Wei-Fan Chen, Khalid Al-Khatib, Henning Wachsmuth, Benno Stein

Media organizations bear great reponsibility because of their considerable influence on shaping beliefs and positions of our society.

Analyzing the Persuasive Effect of Style in News Editorial Argumentation

no code implementations ACL 2020 Roxanne El Baff, Henning Wachsmuth, Khalid Al Khatib, Benno Stein

News editorials argue about political issues in order to challenge or reinforce the stance of readers with different ideologies.

Target Inference in Argument Conclusion Generation

no code implementations ACL 2020 Milad Alshomary, Shahbaz Syed, Martin Potthast, Henning Wachsmuth

In particular, we argue here that a decisive step is to infer a conclusion{'}s target, and we hypothesize that this target is related to the premises{'} targets.

Unraveling the Search Space of Abusive Language in Wikipedia with Dynamic Lexicon Acquisition

no code implementations WS 2019 Wei-Fan Chen, Khalid Al Khatib, Matthias Hagen, Henning Wachsmuth, Benno Stein

Many discussions on online platforms suffer from users offending others by using abusive terminology, threatening each other, or being sarcastic.

Abusive Language

Computational Argumentation Synthesis as a Language Modeling Task

no code implementations WS 2019 Roxanne El Baff, Henning Wachsmuth, Khalid Al Khatib, Manfred Stede, Benno Stein

Synthesis approaches in computational argumentation so far are restricted to generating claim-like argument units or short summaries of debates.

Language Modelling

Learning to Flip the Bias of News Headlines

no code implementations WS 2018 Wei-Fan Chen, Henning Wachsmuth, Khalid Al-Khatib, Benno Stein

This paper introduces the task of {``}flipping{''} the bias of news articles: Given an article with a political bias (left or right), generate an article with the same topic but opposite bias.

Text Generation

Modeling Deliberative Argumentation Strategies on Wikipedia

no code implementations ACL 2018 Khalid Al-Khatib, Henning Wachsmuth, Kevin Lang, Jakob Herpel, Matthias Hagen, Benno Stein

This paper studies how the argumentation strategies of participants in deliberative discussions can be supported computationally.

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

The Impact of Modeling Overall Argumentation with Tree Kernels

no code implementations EMNLP 2017 Henning Wachsmuth, Giovanni Da San Martino, Dora Kiesel, Benno Stein

Several approaches have been proposed to model either the explicit sequential structure of an argumentative text or its implicit hierarchical structure.

General Classification text-classification +1

``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

Computational Argumentation Quality Assessment in Natural Language

no code implementations EACL 2017 Henning Wachsmuth, Nona Naderi, Yufang Hou, Yonatan Bilu, Vinodkumar Prabhakaran, Tim Alberdingk Thijm, Graeme Hirst, Benno Stein

Research on computational argumentation faces the problem of how to automatically assess the quality of an argument or argumentation.

Using Argument Mining to Assess the Argumentation Quality of Essays

no code implementations COLING 2016 Henning Wachsmuth, Khalid Al-Khatib, Benno Stein

In particular, we investigate to what extent the mined structure can be leveraged to assess the argumentation quality of persuasive essays.

Argument Mining

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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