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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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7 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.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.IR2021★ 34 cited

Keyphrase Generation for Scientific Document Retrieval

Florian Boudin, Ygor Gallina, Akiko Aizawa

Sequence-to-sequence models have lead to significant progress in keyphrase generation, but it remains unknown whether they are reliable enough to be beneficial for document retriev…

cs.IR2018★ 2 cited

The Architecture of Mr. DLib's Scientific Recommender-System API

Joeran Beel, Andrew Collins, Akiko Aizawa

Recommender systems in academia are not widely available. This may be in part due to the difficulty and cost of developing and maintaining recommender systems. Many operators of ac…

cs.IR2017

Mr. DLib: Recommendations-as-a-Service (RaaS) for Academia

Joeran Beel, Akiko Aizawa, Corinna Breitinger +1

Only few digital libraries and reference managers offer recommender systems, although such systems could assist users facing information overload. In this paper, we introduce Mr. D…

cs.IR2017★ 9 cited

Exploring Choice Overload in Related-Article Recommendations in Digital Libraries

Felix Beierle, Akiko Aizawa, Joeran Beel

We investigate the problem of choice overload - the difficulty of making a decision when faced with many options - when displaying related-article recommendations in digital librar…

cs.IR2014★ 2 cited

Which one is better: presentation-based or content-based math search?

Minh-Quoc Nghiem, Giovanni Yoko Kristianto, Goran Topic +1

Mathematical content is a valuable information source and retrieving this content has become an important issue. This paper compares two searching strategies for math expressions:…