Eyes on the Parse: Using Gaze Features in Syntactic Parsing

Kód výsledku v 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>

Výsledek na webu

<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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Jazyk výsledku

angličtina

Název v původním jazyce

Eyes on the Parse: Using Gaze Features in Syntactic Parsing

Popis výsledku v původním jazyce

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.

Název v anglickém jazyce

Eyes on the Parse: Using Gaze Features in Syntactic Parsing

Popis výsledku anglicky

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.

Druh

D - Stať ve sborníku

CEP obor

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OECD FORD obor

10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Projekt

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Návaznosti

S - Specificky vyzkum na vysokych skolach

Rok uplatnění

2020

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název statě ve sborníku

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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Počet stran výsledku

16

Strana od-do

1-16

Název nakladatele

Association for Computational Linguistics

Místo vydání

Barcelona, Spain

Místo konání akce

Online

Datum konání akce

13. 12. 2020

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

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