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20172023
most citedA Stylometric Inquiry into Hyperpartisan and Fake News

61 citations · 182 across the 27 of their papers we have counts for

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cs.CL20231 cited

Citance-Contextualized Summarization of Scientific Papers

Shahbaz Syed, Ahmad Dawar Hakimi, Khalid Al-Khatib +1

Current approaches to automatic summarization of scientific papers generate informative summaries in the form of abstracts. However, abstracts are not intended to show the relation…

cs.CL2023

Indicative Summarization of Long Discussions

Shahbaz Syed, Dominik Schwabe, Khalid Al-Khatib +1

Online forums encourage the exchange and discussion of different stances on many topics. Not only do they provide an opportunity to present one's own arguments, but may also gather…

cs.CL2023

GAIA Search: Hugging Face and Pyserini Interoperability for NLP Training Data Exploration

Aleksandra Piktus, Odunayo Ogundepo, Christopher Akiki +6

Noticing the urgent need to provide tools for fast and user-friendly qualitative analysis of large-scale textual corpora of the modern NLP, we propose to turn to the mature and wel…

cs.CL2023

Modeling Appropriate Language in Argumentation

Timon Ziegenbein, Shahbaz Syed, Felix Lange +2

Online discussion moderators must make ad-hoc decisions about whether the contributions of discussion participants are appropriate or should be removed to maintain civility. Existi…

cs.CL2023

Using Language Models on Low-end Hardware

Fabian Ziegner, Janos Borst, Andreas Niekler +1

This paper evaluates the viability of using fixed language models for training text classification networks on low-end hardware. We combine language models with a CNN architecture…

cs.CL2022

Summary Workbench: Unifying Application and Evaluation of Text Summarization Models

Shahbaz Syed, Dominik Schwabe, Martin Potthast

This paper presents Summary Workbench, a new tool for developing and evaluating text summarization models. New models and evaluation measures can be easily integrated as Docker-bas…