51 citations · 138 across the 9 of their papers we have counts for
4 papers · 1 filter
Dynamic Human Evaluation for Relative Model Comparisons
Thórhildur Thorleiksdóttir, Cedric Renggli, Nora Hollenstein +1
Collecting human judgements is currently the most reliable evaluation method for natural language generation systems. Automatic metrics have reported flaws when applied to measure…
Relative Importance in Sentence Processing
Nora Hollenstein, Lisa Beinborn
Determining the relative importance of the elements in a sentence is a key factor for effortless natural language understanding. For human language processing, we can approximate p…
Multilingual Language Models Predict Human Reading Behavior
Nora Hollenstein, Federico Pirovano, Ce Zhang +2
We analyze if large language models are able to predict patterns of human reading behavior. We compare the performance of language-specific and multilingual pretrained transformer…
Decoding EEG Brain Activity for Multi-Modal Natural Language Processing
Nora Hollenstein, Cedric Renggli, Benjamin Glaus +4
Until recently, human behavioral data from reading has mainly been of interest to researchers to understand human cognition. However, these human language processing signals can al…