activity
20152022
most citedSpectral Temporal Graph Neural Network for Multivariate Time-series Forecasting

116 citations · 602 across the 32 of their papers we have counts for

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10 papers · 1 filter

cs.CL20212 cited

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…

cs.CL2021

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…

cs.CL2021

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…

cs.CL2020

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…

cs.CL2019

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…

cs.CL2019

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…