Search Results for author: Henning Wachsmuth

Found 52 papers, 17 papers with code

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

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.

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

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

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.

Assessing the Sufficiency of Arguments through Conclusion Generation

1 code implementation EMNLP (ArgMining) 2021 Timon Gurcke, Milad Alshomary, Henning Wachsmuth

An argument whose premises make its conclusion rationally worthy to be drawn is called sufficient in argument quality research.

Text Classification

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

In this survey paper, we fill this gap by (1) proposing a pyramid of types of knowledge required in CA tasks, (2) analysing the state of the art with respect to the reliance and exploitation of these types of knowledge, for each of the for main research areas in CA, and (3) outlining and discussing directions for future research efforts in CA.

Common Sense Reasoning Natural Language Processing +1

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.

Informativeness

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.

Natural Language Processing

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

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.

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.

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.

Modeling Frames in Argumentation

no code implementations IJCNLP 2019 Yamen Ajjour, Milad Alshomary, Henning Wachsmuth, Benno Stein

In general, we call a set of arguments that focus on the same aspect a frame.

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.

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

Patterns of Argumentation Strategies across Topics

no code implementations EMNLP 2017 Khalid Al-Khatib, Henning Wachsmuth, Matthias Hagen, Benno Stein

This paper presents an analysis of argumentation strategies in news editorials within and across topics.

Argument Mining

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

``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

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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