641 citations · 1k across the 33 of their papers we have counts for
42 papers
DBLPLink: An Entity Linker for the DBLP Scholarly Knowledge Graph
Debayan Banerjee, Arefa, Ricardo Usbeck +1
In this work, we present a web application named DBLPLink, which performs entity linking over the DBLP scholarly knowledge graph. DBLPLink uses text-to-text pre-trained language mo…
Language Models Explain Word Reading Times Better Than Empirical Predictability
Markus J. Hofmann, Steffen Remus, Chris Biemann +2
Though there is a strong consensus that word length and frequency are the most important single-word features determining visual-orthographic access to the mental lexicon, there is…
Social Media Unrest Prediction during the {COVID}-19 Pandemic: Neural Implicit Motive Pattern Recognition as Psychometric Signs of Severe Crises
Dirk Johannßen, Chris Biemann
The COVID-19 pandemic has caused international social tension and unrest. Besides the crisis itself, there are growing signs of rising conflict potential of societies around the wo…
HateXplain: A Benchmark Dataset for Explainable Hate Speech Detection
Binny Mathew, Punyajoy Saha, Seid Muhie Yimam +3
Hate speech is a challenging issue plaguing the online social media. While better models for hate speech detection are continuously being developed, there is little research on the…
Introducing various Semantic Models for Amharic: Experimentation and Evaluation with multiple Tasks and Datasets
Seid Muhie Yimam, Abinew Ali Ayele, Gopalakrishnan Venkatesh +2
The availability of different pre-trained semantic models enabled the quick development of machine learning components for downstream applications. Despite the availability of abun…
Individual corpora predict fast memory retrieval during reading
Markus J. Hofmann, Lara Müller, Andre Rölke +2
The corpus, from which a predictive language model is trained, can be considered the experience of a semantic system. We recorded everyday reading of two participants for two month…