2 citations · 4 across the 4 of their papers we have counts for
5 papers
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…
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…
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…
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…
Abstractive Snippet Generation
Wei-Fan Chen, Shahbaz Syed, Benno Stein +2
An abstractive snippet is an originally created piece of text to summarize a web page on a search engine results page. Compared to the conventional extractive snippets, which are g…