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Found 16 papers, 6 papers with code
Image Retrieval for Arguments Using Stance-Aware Query Expansion
Many forms of argumentation employ images as persuasive means, but research in argument mining has been focused on verbal argumentation so far.
Identifying the Human Values behind Arguments
First experiments with the automatic classification of human values are promising, with F_1-scores up to 0. 81 and 0. 25 on average.
Evaluating Generative Ad Hoc Information Retrieval
Recent advances in large language models have enabled the development of viable generative information retrieval systems.
The Touché23-ValueEval Dataset for Identifying Human Values behind Arguments
We present the Touch\'e23-ValueEval Dataset for Identifying Human Values behind Arguments.
Topic Ontologies for Arguments
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.
The Infinite Index: Information Retrieval on Generative Text-To-Image Models
Conditional generative models such as DALL-E and Stable Diffusion generate images based on a user-defined text, the prompt.
SCAI-QReCC Shared Task on Conversational Question Answering
Search-Oriented Conversational AI (SCAI) is an established venue that regularly puts a spotlight upon the recent work advancing the field of conversational search.
News Editorials: Towards Summarizing Long Argumentative Texts
With Webis-EditorialSum-2020, we present a corpus of 1330 carefully curated summaries for 266 news editorials.
Continuous Quality Control and Advanced Text Segment Annotation with WAT-SL 2.0
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.
SemEval-2019 Task 4: Hyperpartisan News Detection
Hyperpartisan news is news that takes an extreme left-wing or right-wing standpoint.
Unit Segmentation of Argumentative Texts
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.
WAT-SL: A Customizable Web Annotation Tool for Segment Labeling
A frequent type of annotations in text corpora are labeled text segments.
A Stylometric Inquiry into Hyperpartisan and Fake News
The articles originated from 9 well-known political publishers, 3 each from the mainstream, the hyperpartisan left-wing, and the hyperpartisan right-wing.
A News Editorial Corpus for Mining Argumentation Strategies
Many argumentative texts, and news editorials in particular, follow a specific strategy to persuade their readers of some opinion or attitude.
