In both research and practice, translation quality assessment is a complex task involving a
range of linguistic and extra-linguistic factors. This chapter provides a critical overview of the …

Learning attention functions requires large volumes of data, but many NLP tasks simulate
human behavior, and in this paper, we show that human attention really does provide a …

arxiv:1604.03357v1 [cs.CL] 12 Apr 2016 Page 1 Improving sentence compression by learning to
predict gaze Sigrid Klerke University of Copenhagen skl@hum.ku.dk Yoav Goldberg Bar-Ilan …

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 …

Predictions about upcoming content play an important role during language comprehension
and processing. Semantic similarity as a metric has been used to predict how words are …

In recent years, several influential computational models and metrics have been proposed to
predict how humans comprehend and process sentence. One particularly promising …

Gaze behaviour has been used as a way to gather cognitive information for a number of
years. In this paper, we discuss the use of gaze behaviour in solving different tasks in natural …

We show that text readability prediction improves significantly from hard parameter sharing
with models predicting first pass duration, total fixation duration and regression duration …

Sarcasm is a complex linguistic construct with incongruity at its very core. Detecting sarcasm
depends on the actual content spoken and tonality, facial expressions, the context of an …

This article presents RastrOS, a new eye-tracking corpus of eye movement data from
university students during silent reading of paragraphs of texts in Brazilian Portuguese (BP) …