2 citations · 3 across the 2 of their papers we have counts for
4 papers
Analyzing Structures in the Semantic Vector Space: A Framework for Decomposing Word Embeddings
Andreas Hanselowski, Iryna Gurevych
Word embeddings are rich word representations, which in combination with deep neural networks, lead to large performance gains for many NLP tasks. However, word embeddings are repr…
A Richly Annotated Corpus for Different Tasks in Automated Fact-Checking
Andreas Hanselowski, Christian Stab, Claudia Schulz +2
Automated fact-checking based on machine learning is a promising approach to identify false information distributed on the web. In order to achieve satisfactory performance, machin…
UKP-Athene: Multi-Sentence Textual Entailment for Claim Verification
Andreas Hanselowski, Hao Zhang, Zile Li +4
The Fact Extraction and VERification (FEVER) shared task was launched to support the development of systems able to verify claims by extracting supporting or refuting facts from ra…
A Retrospective Analysis of the Fake News Challenge Stance Detection Task
Andreas Hanselowski, Avinesh PVS, Benjamin Schiller +4
The 2017 Fake News Challenge Stage 1 (FNC-1) shared task addressed a stance classification task as a crucial first step towards detecting fake news. To date, there is no in-depth a…