Eyes on the Parse: Using Gaze Features in Syntactic Parsing
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11320%2F20%3A10424429" target="_blank" >RIV/00216208:11320/20:10424429 - isvavai.cz</a>
Result on the web
<a href="https://www.aclweb.org/anthology/2020.lantern-1.1/" target="_blank" >https://www.aclweb.org/anthology/2020.lantern-1.1/</a>
DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
Eyes on the Parse: Using Gaze Features in Syntactic Parsing
Original language description
In this paper, we explore the potential benefits of leveraging eye-tracking information for dependency parsing on the English part of the Dundee corpus. To achieve this, we cast dependency parsing as a sequence labelling task and then augment the neural model for sequence labelling with eye-tracking features. We then experiment with a variety of parser setups ranging from lexicalized parsing to a delexicalized parser. Our experiments show that for a lexicalized parser, although the improvements are positive they are not significant whereas our delexicalized parser significantly outperforms the baseline we established. We also analyze the contribution of various eye-tracking features towards the different parser setups and find that eye-tracking features contain information which is complementary in nature, thus implying that augmenting the parser with various gaze features grouped together provides better performance than any individual gaze feature.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
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OECD FORD branch
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Result continuities
Project
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Continuities
S - Specificky vyzkum na vysokych skolach
Others
Publication year
2020
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Proceedings of the Second Workshop on Beyond Vision and LANguage: inTEgrating Real-world kNowledge (LANTERN)
ISBN
978-1-952148-51-4
ISSN
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e-ISSN
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Number of pages
16
Pages from-to
1-16
Publisher name
Association for Computational Linguistics
Place of publication
Barcelona, Spain
Event location
Online
Event date
Dec 13, 2020
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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