no code implementations • LREC 2022 • Benjamin Hättasch, Carsten Binnig
In this paper, we present a new corpus of clickbait articles annotated by university students along with a corresponding shared task: clickbait articles use a headline or teaser that hides information from the reader to make them curious to open the article.
no code implementations • 26 Mar 2022 • Marius Gassen, Benjamin Hättasch, Benjamin Hilprecht, Nadja Geisler, Alexander Fraser, Carsten Binnig
However, developing a conversational agent (i. e., a chatbot-like interface) to allow end-users to interact with an application using natural language requires both immense amounts of training data and NLP expertise.
no code implementations • 9 Mar 2022 • Benjamin Hättasch, Jan-Micha Bodensohn, Carsten Binnig
In this paper, we propose a new system called ASET that allows users to perform structured explorations of text collections in an ad-hoc manner.
no code implementations • 8 Mar 2022 • Benjamin Hättasch, Michael Truong-Ngoc, Andreas Schmidt, Carsten Binnig
Since data is often stored in different sources, it needs to be integrated to gather a global view that is required in order to create value and derive knowledge from it.
2 code implementations • 2 Apr 2018 • Prasetya Utama, Nathaniel Weir, Fuat Basik, Carsten Binnig, Ugur Cetintemel, Benjamin Hättasch, Amir Ilkhechi, Shekar Ramaswamy, Arif Usta
The ability to extract insights from new data sets is critical for decision making.