activity
20172023
most citedBeyond the Imitation Game: Quantifying and extrapolating the capabilities of language models

565 citations · 1k across the 46 of their papers we have counts for

collaborators
Showing 2021Show all

12 papers · 1 filter

cs.DL2021

STEREO: Scientific Text Reuse in Open Access Publications

Lukas Gienapp, Wolfgang Kircheis, Bjarne Sievers +2

We present the Webis-STEREO-21 dataset, a massive collection of Scientific Text Reuse in Open-access publications. It contains more than 91 million cases of reused text passages fo…

cs.IR2021

FastWARC: Optimizing Large-Scale Web Archive Analytics

Janek Bevendorff, Martin Potthast, Benno Stein

Web search and other large-scale web data analytics rely on processing archives of web pages stored in a standardized and efficient format. Since its introduction in 2008, the IIPC…

cs.IR2021

The Impact of Main Content Extraction on Near-Duplicate Detection

Maik Fröbe, Matthias Hagen, Janek Bevendorff +6

Commercial web search engines employ near-duplicate detection to ensure that users see each relevant result only once, albeit the underlying web crawls typically include (near-)dup…

cs.CL2021

BERTian Poetics: Constrained Composition with Masked LMs

Christopher Akiki, Martin Potthast

Masked language models have recently been interpreted as energy-based sequence models that can be generated from using a Metropolis--Hastings sampler. This short paper demonstrates…

cs.CL2021

Key Point Analysis via Contrastive Learning and Extractive Argument Summarization

Milad Alshomary, Timon Gurcke, Shahbaz Syed +5

Key point analysis is the task of extracting a set of concise and high-level statements from a given collection of arguments, representing the gist of these arguments. This paper p…

cs.CL2021

Modeling Proficiency with Implicit User Representations

Kim Breitwieser, Allison Lahnala, Charles Welch +2

We introduce the problem of proficiency modeling: Given a user's posts on a social media platform, the task is to identify the subset of posts or topics for which the user has some…

cs.CL2021

Summary Explorer: Visualizing the State of the Art in Text Summarization

Shahbaz Syed, Tariq Yousef, Khalid Al-Khatib +2

This paper introduces Summary Explorer, a new tool to support the manual inspection of text summarization systems by compiling the outputs of 55~state-of-the-art single document su…

cs.DL2021

Web Archive Analytics

Michael Völske, Janek Bevendorff, Johannes Kiesel +4

Web archive analytics is the exploitation of publicly accessible web pages and their evolution for research purposes -- to the extent organizationally possible for researchers. In…

cs.LG2021★ 14 cited

Small-Text: Active Learning for Text Classification in Python

Christopher Schröder, Lydia Müller, Andreas Niekler +1

We introduce small-text, an easy-to-use active learning library, which offers pool-based active learning for single- and multi-label text classification in Python. It features nume…

cs.CL2021

Revisiting Uncertainty-based Query Strategies for Active Learning with Transformers

Christopher Schröder, Andreas Niekler, Martin Potthast

Active learning is the iterative construction of a classification model through targeted labeling, enabling significant labeling cost savings. As most research on active learning h…

cs.CL2021★ 2 cited

Generating Informative Conclusions for Argumentative Texts

Shahbaz Syed, Khalid Al-Khatib, Milad Alshomary +2

The purpose of an argumentative text is to support a certain conclusion. Yet, they are often omitted, expecting readers to infer them rather. While appropriate when reading an indi…

cs.CL2021★ 2 cited

Argument Undermining: Counter-Argument Generation by Attacking Weak Premises

Milad Alshomary, Shahbaz Syed, Arkajit Dhar +2

Text generation has received a lot of attention in computational argumentation research as of recent. A particularly challenging task is the generation of counter-arguments. So far…