Search Results for author: Yevgeni Berzak

Found 14 papers, 3 papers with code

Predicting Text Readability from Scrolling Interactions

1 code implementation CoNLL (EMNLP) 2021 Sian Gooding, Yevgeni Berzak, Tony Mak, Matt Sharifi

Judging the readability of text has many important applications, for instance when performing text simplification or when sourcing reading material for language learners.

Question Answering Reading Comprehension +1

Classifying Syntactic Errors in Learner Language

1 code implementation CONLL 2020 Leshem Choshen, Dmitry Nikolaev, Yevgeni Berzak, Omri Abend

We present a method for classifying syntactic errors in learner language, namely errors whose correction alters the morphosyntactic structure of a sentence.

Classification General Classification +2

Bridging Information-Seeking Human Gaze and Machine Reading Comprehension

no code implementations CONLL 2020 Jonathan Malmaud, Roger Levy, Yevgeni Berzak

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.

Machine Reading Comprehension Multiple-choice +1

STARC: Structured Annotations for Reading Comprehension

1 code implementation ACL 2020 Yevgeni Berzak, Jonathan Malmaud, Roger Levy

We present STARC (Structured Annotations for Reading Comprehension), a new annotation framework for assessing reading comprehension with multiple choice questions.

Multiple-choice Reading Comprehension

Assessing Language Proficiency from Eye Movements in Reading

no code implementations NAACL 2018 Yevgeni Berzak, Boris Katz, Roger Levy

We present a novel approach for determining learners' second language proficiency which utilizes behavioral traces of eye movements during reading.

Predicting Native Language from Gaze

no code implementations ACL 2017 Yevgeni Berzak, Chie Nakamura, Suzanne Flynn, Boris Katz

A fundamental question in language learning concerns the role of a speaker's first language in second language acquisition.

Language Acquisition

Survey on the Use of Typological Information in Natural Language Processing

no code implementations COLING 2016 Helen O'Horan, Yevgeni Berzak, Ivan Vulić, Roi Reichart, Anna Korhonen

In recent years linguistic typology, which classifies the world's languages according to their functional and structural properties, has been widely used to support multilingual NLP.

Multilingual NLP

Anchoring and Agreement in Syntactic Annotations

no code implementations EMNLP 2016 Yevgeni Berzak, Yan Huang, Andrei Barbu, Anna Korhonen, Boris Katz

Our agreement results control for parser bias, and are consequential in that they are on par with state of the art parsing performance for English newswire.

Decision Making Dependency Parsing

Do You See What I Mean? Visual Resolution of Linguistic Ambiguities

no code implementations EMNLP 2015 Yevgeni Berzak, Andrei Barbu, Daniel Harari, Boris Katz, Shimon Ullman

Understanding language goes hand in hand with the ability to integrate complex contextual information obtained via perception.

Sentence

Reconstructing Native Language Typology from Foreign Language Usage

no code implementations WS 2014 Yevgeni Berzak, Roi Reichart, Boris Katz

Linguists and psychologists have long been studying cross-linguistic transfer, the influence of native language properties on linguistic performance in a foreign language.

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