1 citations · 2 across the 2 of their papers we have counts for
4 papers · 1 filter
Aspect-Controlled Neural Argument Generation
Benjamin Schiller, Johannes Daxenberger, Iryna Gurevych
We rely on arguments in our daily lives to deliver our opinions and base them on evidence, making them more convincing in turn. However, finding and formulating arguments can be ch…
Stance Detection Benchmark: How Robust Is Your Stance Detection?
Benjamin Schiller, Johannes Daxenberger, Iryna Gurevych
Stance Detection (StD) aims to detect an author's stance towards a certain topic or claim and has become a key component in applications like fake news detection, claim validation,…
Classification and Clustering of Arguments with Contextualized Word Embeddings
Nils Reimers, Benjamin Schiller, Tilman Beck +3
We experiment with two recent contextualized word embedding methods (ELMo and BERT) in the context of open-domain argument search. For the first time, we show how to leverage the p…
Cross-topic Argument Mining from Heterogeneous Sources Using Attention-based Neural Networks
Christian Stab, Tristan Miller, Iryna Gurevych
Argument mining is a core technology for automating argument search in large document collections. Despite its usefulness for this task, most current approaches to argument mining…