Eye‐tracking data from reading provide a structured signal with a fine‐grained temporal
resolution which closely follows the sequential structure of the text. It is highly correlated with …

This study examines memory retrieval and syntactic composition using fMRI while
participants listen to a book, The Little Prince. These two processes are quantified drawing …

Readers' eye movements used as part of the training signal have been shown to improve
performance in a wide range of Natural Language Processing (NLP) tasks. Previous work …

In recent years gaze data has been increasingly used to improve and evaluate NLP models
due to the fact that it carries information about the cognitive processing of linguistic …

The CogNLP-Sheffield submissions to the CMCL 2021 Shared Task examine the value of a
variety of cognitively and linguistically inspired features for predicting eye tracking patterns …

When processing a text, humans and machines must disambiguate between different uses
of the pronoun it, including non-referential, nominal anaphoric or clause anaphoric ones. In …

When humans perform everyday tasks like reading, speaking, and writing, they cognitively
also complete many of the tasks that natural language processing strives for computers to …

The ability to understand and produce a seemingly infinite number of novel utterances has
long been considered a hallmark of human language. Traditionally, single words and innate …

Multiword expressions have posed a challenge in the past for computational linguistics
since they comprise a heterogeneous family of word clusters and are difficult to detect in …

Abstract English plays an indispensable role in fostering academic, personal, and
professional quality. In Indonesia, introducing English to students from elementary …