172 citations · 729 across the 66 of their papers we have counts for
10 papers · 1 filter
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…
Generative User-Experience Research for Developing Domain-specific Natural Language Processing Applications
Anastasia Zhukova, Lukas von Sperl, Christian E. Matt +1
User experience (UX) is a part of human-computer interaction (HCI) research and focuses on increasing intuitiveness, transparency, simplicity, and trust for the system users. Most…
Neural Machine Translation for Mathematical Formulae
Felix Petersen, Moritz Schubotz, Andre Greiner-Petter +1
We tackle the problem of neural machine translation of mathematical formulae between ambiguous presentation languages and unambiguous content languages. Compared to neural machine…
Methods and Tools to Advance the Retrieval of Mathematical Knowledge from Digital Libraries for Search-, Recommendation-, and Assistance-Systems
Bela Gipp, André Greiner-Petter, Moritz Schubotz +1
This project investigated new approaches and technologies to enhance the accessibility of mathematical content and its semantic information for a broad range of information retriev…
Introducing Peer Copy -- A Fully Decentralized Peer-to-Peer File Transfer Tool
Dennis Trautwein, Moritz Schubotz, Bela Gipp
It allows any two parties that are either both on the same network or connected via the internet to transfer the contents of a file based on a particular sequence of words. Peer di…
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…
Paraphrase Detection: Human vs. Machine Content
Jonas Becker, Jan Philip Wahle, Terry Ruas +1
The growing prominence of large language models, such as GPT-4 and ChatGPT, has led to increased concerns over academic integrity due to the potential for machine-generated content…
Discovery and Recognition of Formula Concepts using Machine Learning
Philipp Scharpf, Moritz Schubotz, Howard S. Cohl +2
Citation-based Information Retrieval (IR) methods for scientific documents have proven effective for IR applications, such as Plagiarism Detection or Literature Recommender Systems…
A Benchmark of PDF Information Extraction Tools using a Multi-Task and Multi-Domain Evaluation Framework for Academic Documents
Norman Meuschke, Apurva Jagdale, Timo Spinde +2
Extracting information from academic PDF documents is crucial for numerous indexing, retrieval, and analysis use cases. Choosing the best tool to extract specific content elements…
AI Usage Cards: Responsibly Reporting AI-generated Content
Jan Philip Wahle, Terry Ruas, Saif M. Mohammad +2
Given AI systems like ChatGPT can generate content that is indistinguishable from human-made work, the responsible use of this technology is a growing concern. Although understandi…