Classifying Referential and Non-referential It Using Gaze

Yaneva, Victoria; Ha, Le An; Evans, Richard J.; Mitkov, Ruslan

doi:10.18653/v1/d18-1528

Cited by 9 publications

(6 citation statements)

References 19 publications

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“…More recently, Loáiciga et al (2017) proposed a semi-supervised approach based on a combination of syntactic and semantic features for the classification of it. Yaneva et al (2018), on the other hand, report on experiments using features from eye gaze that prove to be more effective than any of the other types of features reported in previous works. This prior work points to the interest in understanding the behavior of pronouns like it, whose range of referential uses (entity, event, etc.)…”

Section: Computational Approachesmentioning

confidence: 95%

Event and Entity Coreference Across Five Languages: Effects of Context and Referring Expression

Bevacqua

Loáiciga

Rohde

et al. 2021

dad

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Current work on coreference focuses primarily on entities, often leaving unanalysed the use of anaphors to corefer with antecedents such as events and textual segments. Moreover, the anaphoric forms that speakers use for entity and non-entity coreference are not mutually exclusive. This ambiguity has been the subject of recent work in English, with evidence of a split between comprehenders' preferential interpretation of personal versus demonstrative pronouns. In addition, comprehenders are shown to be sensitive to antecedent complexity and aspectual status, two verb-driven cues that signal how an event is being portrayed. Here we extend this work via a comparison across five languages (English, French, German, Italian, and Spanish). With a story-continuation experiment, we test how different referring expressions corefer with entity and event antecedents and whether verbal features such as argument structure and aspect influence this choice. Our results show widely consistent, not categorical biases across languages: entity coreference is favoured for personal pronouns and event coreference for demonstratives. Antecedent complexity increases the rate at which anaphors are taken to corefer with an event antecedent, but portraying an event as completed does not reach statistical significance (though showing quite uniform patterns). Lastly, we report a comparison of the same referring expressions to refer to entity and event antecedents in a trilingual parallel corpus annotated with coreference.Together, the results provide a first crosslingual picture of coreference preferences beyond the restricted entity-only patterns targeted by most existing work on coreference. The five languages are all shown to allow gradable use of pronouns for entity and event coreference, with biases that align with existing generalizations about the link between prominence and the use of reduced referring expressions. The studies also show the feasibility of manipulating targeted verb-driven cues across multiple languages to support crosslingual comparisons.

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Section: Computational Approachesmentioning

confidence: 95%

Event and Entity Coreference Across Five Languages: Effects of Context and Referring Expression

Bevacqua

Loáiciga

Rohde

et al. 2021

dad

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“…Other studies that use data from participants with confirmed diagnoses focus on readability research (Yaneva et al, 2017) and complex word identification (Štajner et al, 2017), including a survey on the text adaptation needs of adults with ASD (Yaneva et al, 2019) as well as an analysis of visual-semantic priming and narratives (Regneri et al, 2020). Yaneva et al (2016) publicly releases a multimodal dataset with text and eye-tracking data collected from adults with and without autism. Finally, among the papers that use data from participants with unverified diagnoses, one study focuses on topic modelling for an ASD support forum (Ji et al, 2014), while other studies focus on text simplification or reading assistance without reporting evaluation with ASD participants (Barbu et al, 2013;Evans et al, 2014).…”

Section: Autism Spectrum Disorder (Asd)mentioning

confidence: 99%

Natural Language Processing in Healthcare

Bojar¹,

Dash²,

Parida³

et al. 2022

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“…This hypothesis has initiated a large body of psycholinguistic research that shows a relationship between text processing and gaze behaviour. Yaneva et al (2020) discuss the use of gaze features for the task of anaphora resolution. Their findings show that gaze data can substitute the classical text processing approaches along with the fact that human disambiguation process overlaps with the information carried in linguistic features.…”

Section: Related Workmentioning

confidence: 99%

Cognition-aware Cognate Detection

Kanojia

Sharma

Sayali³

et al. 2021

Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume

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Automatic detection of cognates helps downstream NLP tasks of Machine Translation, Cross-lingual Information Retrieval, Computational Phylogenetics and Cross-lingual Named Entity Recognition. Previous approaches for the task of cognate detection use orthographic, phonetic and semantic similarity based features sets. In this paper, we propose a novel method for enriching the feature sets, with cognitive features extracted from human readers' gaze behaviour. We collect gaze behaviour data for a small sample of cognates and show that extracted cognitive features help the task of cognate detection. However, gaze data collection and annotation is a costly task. We use the collected gaze behaviour data to predict cognitive features for a larger sample and show that predicted cognitive features, also, significantly improve the task performance. We report improvements of 10% with the collected gaze features, and 12% using the predicted gaze features, over the previously proposed approaches. Furthermore, we release the collected gaze behaviour data along with our code and cross-lingual models.

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Classifying Referential and Non-referential It Using Gaze

Cited by 9 publications

References 19 publications

Event and Entity Coreference Across Five Languages: Effects of Context and Referring Expression

Event and Entity Coreference Across Five Languages: Effects of Context and Referring Expression

Natural Language Processing in Healthcare

Cognition-aware Cognate Detection

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