565 citations · 1k across the 46 of their papers we have counts for
10 papers · 1 filter
SMAuC -- The Scientific Multi-Authorship Corpus
Janek Bevendorff, Philipp Sauer, Lukas Gienapp +4
The rapidly growing volume of scientific publications offers an interesting challenge for research on methods for analyzing the authorship of documents with one or more authors. Ho…
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…
Differential Bias: On the Perceptibility of Stance Imbalance in Argumentation
Alonso Palomino, Martin Potthast, Khalid Al-Khatib +1
Most research on natural language processing treats bias as an absolute concept: Based on a (probably complex) algorithmic analysis, a sentence, an article, or a text is classified…
WARC-DL: Scalable Web Archive Processing for Deep Learning
Niklas Deckers, Martin Potthast
Web archives have grown to petabytes. In addition to providing invaluable background knowledge on many social and cultural developments over the last 30 years, they also provide va…
Trigger Warnings: Bootstrapping a Violence Detector for FanFiction
Magdalena Wolska, Christopher Schröder, Ole Borchardt +2
We present the first dataset and evaluation results on a newly defined computational task of trigger warning assignment. Labeled corpus data has been compiled from narrative works…
Sparse Pairwise Re-ranking with Pre-trained Transformers
Lukas Gienapp, Maik Fröbe, Matthias Hagen +1
Pairwise re-ranking models predict which of two documents is more relevant to a query and then aggregate a final ranking from such preferences. This is often more effective than po…
How Train-Test Leakage Affects Zero-shot Retrieval
Maik Fröbe, Christopher Akiki, Martin Potthast +1
Neural retrieval models are often trained on (subsets of) the millions of queries of the MS MARCO / ORCAS datasets and then tested on the 250 Robust04 queries or other TREC benchma…
Beyond the Imitation Game: Quantifying and extrapolating the capabilities of language models
Aarohi Srivastava, Abhinav Rastogi, Abhishek Rao +448
Language models demonstrate both quantitative improvement and new qualitative capabilities with increasing scale. Despite their potentially transformative impact, these new capabil…
Clickbait Spoiling via Question Answering and Passage Retrieval
Matthias Hagen, Maik Fröbe, Artur Jurk +1
We introduce and study the task of clickbait spoiling: generating a short text that satisfies the curiosity induced by a clickbait post. Clickbait links to a web page and advertise…
Tracking Discourse Influence in Darknet Forums
Christopher Akiki, Lukas Gienapp, Martin Potthast
This technical report documents our efforts in addressing the tasks set forth by the 2021 AMoC (Advanced Modelling of Cyber Criminal Careers) Hackathon. Our main contribution is a…