Tim Gollub

Publications
Influence

Overview of the 6th International Competition on Plagiarism Detection

Martin Potthast, Matthias Hagen, +5 authors B. Stein
Computer Science
CLEF
2014

Thispaper overviews 18 plagiarism detectors that have been developed and evaluated within PAN'10. Expand

Improving the Reproducibility of PAN's Shared Tasks: - Plagiarism Detection, Author Identification, and Author Profiling

Martin Potthast, Tim Gollub, Francisco M. Rangel Pardo, P. Rosso, E. Stamatatos, Benno Stein
Computer Science
CLEF
15 September 2014

This paper reports on the PAN 2014 evaluation lab which hosts three shared tasks on plagiarism detection, author identification, and author profiling. Expand

TIRA Integrated Research Architecture

Martin Potthast, Tim Gollub, Matti Wiegmann, Benno Stein
Computer Science
Information Retrieval Evaluation in a Changing…
2019

Data and software are immaterial. Scientists in computer science hence have the unique chance to let other scientists easily reproduce their findings. Similarly, and with the same ease, the… Expand

The Clickbait Challenge 2017: Towards a Regression Model for Clickbait Strength

Martin Potthast, Tim Gollub, Matthias Hagen, Benno Stein
Computer Science
ArXiv
27 December 2018

This paper reports on the results of the Clickbait Challenge 2017, a shared task inviting the submission of clickbait detectors for a comparative evaluation. Expand

Recent Trends in Digital Text Forensics and Its Evaluation - Plagiarism Detection, Author Identification, and Author Profiling

Tim Gollub, Martin Potthast, +5 authors Benno Stein
Computer Science
CLEF
23 September 2013

We present a standardized evaluation framework for each of the three tasks and discuss the evaluation results of the altogether 58i¾?submitted contributions. Expand

Crowdsourcing a Large Corpus of Clickbait on Twitter

Martin Potthast, Tim Gollub, +5 authors Benno Stein
Computer Science
COLING
1 August 2018

This paper introduces the Webis Clickbait Corpus 2017, a large-scale corpus of teaser messages, which has been built to address automatic clickbait detection. Expand

The optimum clustering framework: implementing the cluster hypothesis

N. Fuhr, Marc Lechtenfeld, Benno Stein, Tim Gollub
Computer Science
Information Retrieval
1 April 2012

We present a theoretic foundation for optimum document clustering with respect to the estimates of the relevance probability for the query-document pairs. Expand

Unsupervised Sparsification of Similarity Graphs

Tim Gollub, Benno Stein
Computer Science
2010

Sparsification improves both the runtime and the quality of cluster algorithms that exploit pairwise object similarities, i.e., that rely on similarity graphs. Expand

TIRA: Configuring, Executing, and Disseminating Information Retrieval Experiments

Tim Gollub, Benno Stein, Steven Burrows, Dennis Hoppe
Computer Science
23rd International Workshop on Database and…
3 September 2012

We present the TIRA (Testbed for Information Retrieval Algorithms) web framework that addresses the outlined challenges and possesses a unique set of compelling features in comparison to existing web-based solutions. Expand

From keywords to keyqueries: content descriptors for the web

Tim Gollub, Matthias Hagen, M. Michel, Benno Stein
Computer Science
SIGIR
28 July 2013

We introduce the concept of keyqueries as dynamic content descriptors for documents and present an exhaustive search algorithm along with effective pruning strategies. Expand

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