Zobrazeno 1 - 10
of 30
pro vyhledávání: '"Berzak, Yevgeni"'
The effect of surprisal on processing difficulty has been a central topic of investigation in psycholinguistics. Here, we use eyetracking data to examine three language processing regimes that are common in daily life but have not been addressed with
Externí odkaz:
http://arxiv.org/abs/2410.08162
Can human reading comprehension be assessed from eye movements in reading? In this work, we address this longstanding question using large-scale eyetracking data over textual materials that are geared towards behavioral analyses of reading comprehens
Externí odkaz:
http://arxiv.org/abs/2410.04484
Autor:
Ponti, Edoardo Maria, O’Horan, Helen, Berzak, Yevgeni, Vulić, Ivan, Reichart, Roi, Poibeau, Thierry, Shutova, Ekaterina, Korhonen, Anna
Publikováno v:
Computational Linguistics, Vol 45, Iss 3, Pp 559-601 (2019)
Linguistic typology aims to capture structural and semantic variation across the world’s languages. A large-scale typology could provide excellent guidance for multilingual Natural Language Processing (NLP), particularly for languages that suffer f
Externí odkaz:
https://doaj.org/article/e766c2c989b842e388991cd857e2c997
Publikováno v:
Proceedings of the 25th Conference on Computational Natural Language Learning 2021
Judging the readability of text has many important applications, for instance when performing text simplification or when sourcing reading material for language learners. In this paper, we present a 518 participant study which investigates how scroll
Externí odkaz:
http://arxiv.org/abs/2105.06354
We present a method for classifying syntactic errors in learner language, namely errors whose correction alters the morphosyntactic structure of a sentence. The methodology builds on the established Universal Dependencies syntactic representation sch
Externí odkaz:
http://arxiv.org/abs/2010.11032
In this work, we analyze how human gaze during reading comprehension is conditioned on the given reading comprehension question, and whether this signal can be beneficial for machine reading comprehension. To this end, we collect a new eye-tracking d
Externí odkaz:
http://arxiv.org/abs/2009.14780
We present STARC (Structured Annotations for Reading Comprehension), a new annotation framework for assessing reading comprehension with multiple choice questions. Our framework introduces a principled structure for the answer choices and ties them t
Externí odkaz:
http://arxiv.org/abs/2004.14797
Autor:
Berzak, Yevgeni
Thesis: Ph. D., Massachusetts Institute of Technology, Department of Electrical Engineering and Computer Science, 2018.
This electronic version was submitted by the student author. The certified thesis is available in the Institute Archives and
This electronic version was submitted by the student author. The certified thesis is available in the Institute Archives and
Externí odkaz:
http://hdl.handle.net/1721.1/115634
Autor:
Ponti, Edoardo Maria, O'Horan, Helen, Berzak, Yevgeni, Vulić, Ivan, Reichart, Roi, Poibeau, Thierry, Shutova, Ekaterina, Korhonen, Anna
Linguistic typology aims to capture structural and semantic variation across the world's languages. A large-scale typology could provide excellent guidance for multilingual Natural Language Processing (NLP), particularly for languages that suffer fro
Externí odkaz:
http://arxiv.org/abs/1807.00914
We present a novel approach for determining learners' second language proficiency which utilizes behavioral traces of eye movements during reading. Our approach provides stand-alone eyetracking based English proficiency scores which reflect the exten
Externí odkaz:
http://arxiv.org/abs/1804.07329