Best practices in eye tracking research
This guide describes best practices in using eye tracking technology for research in a variety
of disciplines. A basic outline of the anatomy and physiology of the eyes and of eye …
of disciplines. A basic outline of the anatomy and physiology of the eyes and of eye …
Large-scale evidence for logarithmic effects of word predictability on reading time
During real-time language comprehension, our minds rapidly decode complex meanings
from sequences of words. The difficulty of doing so is known to be related to words' …
from sequences of words. The difficulty of doing so is known to be related to words' …
Testing the predictions of surprisal theory in 11 languages
Surprisal theory posits that less-predictable words should take more time to process, with
word predictability quantified as surprisal, ie, negative log probability in context. While …
word predictability quantified as surprisal, ie, negative log probability in context. While …
Expanding horizons of cross-linguistic research on reading: The Multilingual Eye-movement Corpus (MECO)
Scientific studies of language behavior need to grapple with a large diversity of languages in
the world and, for reading, a further variability in writing systems. Yet, the ability to form …
the world and, for reading, a further variability in writing systems. Yet, the ability to form …
A survey of word embeddings evaluation methods
A Bakarov - arXiv preprint arXiv:1801.09536, 2018 - arxiv.org
Word embeddings are real-valued word representations able to capture lexical semantics
and trained on natural language corpora. Models proposing these representations have …
and trained on natural language corpora. Models proposing these representations have …
Revisiting the uniform information density hypothesis
The uniform information density (UID) hypothesis posits a preference among language
users for utterances structured such that information is distributed uniformly across a signal …
users for utterances structured such that information is distributed uniformly across a signal …
Improving natural language processing tasks with human gaze-guided neural attention
A lack of corpora has so far limited advances in integrating human gaze data as a
supervisory signal in neural attention mechanisms for natural language processing (NLP) …
supervisory signal in neural attention mechanisms for natural language processing (NLP) …
Prediction in reading: A review of predictability effects, their theoretical implications, and beyond
Historically, prediction during reading has been considered an inefficient and cognitively
expensive processing mechanism given the inherently generative nature of language, which …
expensive processing mechanism given the inherently generative nature of language, which …
CogniVal: A framework for cognitive word embedding evaluation
N Hollenstein, A de la Torre, N Langer… - arXiv preprint arXiv …, 2019 - arxiv.org
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 …
semantic representations in the human brain. However, most, if not all, previous works only …
ZuCo 2.0: A dataset of physiological recordings during natural reading and annotation
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 …
electroencephalography during natural reading and during annotation. This corpus contains …