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20132026
most citedNeural Media Bias Detection Using Distant Supervision With BABE -- Bias Annotations By Experts

67 citations · 339 across the 48 of their papers we have counts for

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Showing 2023Show all

5 papers · 1 filter

cs.IR2023

TEIMMA: The First Content Reuse Annotator for Text, Images, and Math

Ankit Satpute, André Greiner-Petter, Moritz Schubotz +4

This demo paper presents the first tool to annotate the reuse of text, images, and mathematical formulae in a document pair -- TEIMMA. Annotating content reuse is particularly usef…

cs.CL2023

Probing Physical Reasoning with Counter-Commonsense Context

Kazushi Kondo, Saku Sugawara, Akiko Aizawa

In this study, we create a CConS (Counter-commonsense Contextual Size comparison) dataset to investigate how physical commonsense affects the contextualized size comparison task; t…

cs.CL2023★ 1 cited

SuperDialseg: A Large-scale Dataset for Supervised Dialogue Segmentation

Junfeng Jiang, Chengzhang Dong, Sadao Kurohashi +1

Dialogue segmentation is a crucial task for dialogue systems allowing a better understanding of conversational texts. Despite recent progress in unsupervised dialogue segmentation…

cs.IR2023★ 22 cited

Introducing MBIB -- the first Media Bias Identification Benchmark Task and Dataset Collection

Martin Wessel, Tomáš Horych, Terry Ruas +3

Although media bias detection is a complex multi-task problem, there is, to date, no unified benchmark grouping these evaluation tasks. We introduce the Media Bias Identification B…

cs.CL2023

Analyzing the Effectiveness of the Underlying Reasoning Tasks in Multi-hop Question Answering

Xanh Ho, Anh-Khoa Duong Nguyen, Saku Sugawara +1

To explain the predicted answers and evaluate the reasoning abilities of models, several studies have utilized underlying reasoning (UR) tasks in multi-hop question answering (QA)…