116 citations · 602 across the 32 of their papers we have counts for
10 papers · 1 filter
Exploration and Exploitation: Two Ways to Improve Chinese Spelling Correction Models
Chong Li, Cenyuan Zhang, Xiaoqing Zheng +1
A sequence-to-sequence learning with neural networks has empirically proven to be an effective framework for Chinese Spelling Correction (CSC), which takes a sentence with some spe…
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…
Control, Generate, Augment: A Scalable Framework for Multi-Attribute Text Generation
Giuseppe Russo, Nora Hollenstein, Claudiu Musat +1
We introduce CGA, a conditional VAE architecture, to control, generate, and augment text. CGA is able to generate natural English sentences controlling multiple semantic and syntac…
ZuCo 2.0: A Dataset of Physiological Recordings During Natural Reading and Annotation
Nora Hollenstein, Marius Troendle, Ce Zhang +1
We recorded and preprocessed ZuCo 2.0, a new dataset of simultaneous eye-tracking and electroencephalography during natural reading and during annotation. This corpus contains gaze…
CogniVal: A Framework for Cognitive Word Embedding Evaluation
Nora Hollenstein, Antonio de la Torre, Nicolas Langer +1
An interesting method of evaluating word representations is by how much they reflect the semantic representations in the human brain. However, most, if not all, previous works only…