Papers with Psycholinguistics

10 papers
Modeling Referential Gaze in Task-oriented Settings of Varying Referential Complexity (2022.findings-aacl)

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Challenge: Referential gaze is a fundamental phenomenon for psycholinguistics and human-human communication.
Approach: They propose a multimodal NLP task to predict when the gaze is referential . they train a sequential attention-based LSTM model and a transformer encoder architecture to model referential gaze and transfer gaze features to unseen situated settings .
Outcome: The proposed model can be applied to situations with different referential complexities . the proposed model is based on an attention-based LSTM model and a multivariate transformer encoder architecture .
Using the RUPEX Multichannel Corpus in a Pilot fMRI Study on Speech Disfluencies (2020.lrec-1)

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Challenge: Numerous classifications of disfluencies have been proposed and/or implemented in annotating speech corpora.
Approach: They propose to use Russian multichannel corpus RUPEX to create fragments of speech disfluencies and their clusters.
Outcome: The proposed method allows to create fragments in terms of requirements for the fMRI BOLD temporal resolution.
A Case Study of Analysis of Construals in Language on Social Media Surrounding a Crisis Event (2021.acl-srw)

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Challenge: construal level theory (CLT) uses concreteness as covariate to analyze language around political import events.
Approach: They propose to include psycholinguistic measures of concreteness as covariates in topic models to analyze the language around an event of political import.
Outcome: The proposed model incorporates measures of concreteness as covariates to inform the analysis of language around the 2017 rally.
Deconvolutional Time Series Regression: A Technique for Modeling Temporally Diffuse Effects (D18-1)

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Challenge: a confound exists in time series data that violates assumptions of linear models . time series may violate assumptions through temporal diffusion .
Approach: They propose a statistical model that borrows from digital signal processing to fit latent impulse response functions of arbitrary shape.
Outcome: The proposed model recovers true latent IRFs and improves prediction quality . it is based on a new technique that borrows from digital signal processing .
Cifu: a Frequency Lexicon of Hong Kong Cantonese (2020.lrec-1)

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Challenge: lexical database for Hong Kong Cantonese offers phonological and orthographic information, frequency measures, and lexically neighborhood information for lexicals in HKC.
Approach: They introduce a lexical database for Hong Kong Cantonese that offers phonological and orthographic information, frequency measures, and lexically neighborhood information for lexicals in HKC.
Outcome: The proposed lexical database for Hong Kong Cantonese offers phonological and orthographic information, frequency measures, and lexically neighborhood information.
The CLARIN Knowledge Centre for Atypical Communication Expertise (2020.lrec-1)

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Challenge: ACE is a new knowledge center for Atypical communication experts . it is located at the Centre for Language and Speech Technology (CLST) at Radboud University .
Approach: They introduce a new CLARIN Knowledge Center called the K-Centre for Atypical Communication Expertise (ACE) ACE closely collaborates with The Language Archive at the Max Planck Institute for Psycholinguistics to safeguard GDPR-compliant data storage and access.
Outcome: The new CLARIN Knowledge Center is the K-Centre for Atypical Communication Expertise (ACE) ACE closely collaborates with The Language Archive (TLA) at the Max Planck Institute for Psycholinguistics in order to safeguard GDPR-compliant data storage and access.
Dedicated Language Resources for Interdisciplinary Research on Multiword Expressions: Best Thing since Sliced Bread (2020.lrec-1)

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Challenge: Multiword expressions are challenging for disciplines like NLP, psycholinguistics and second language acquisition due to their more or less fixed character.
Approach: They propose to develop tools and language resources that are crucial for multifaceted research.
Outcome: The proposed tools and language resources are crucial for this kind of multifaceted research.
A Survey of Automatic Personality Detection from Texts (2020.coling-main)

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Challenge: Personality profiling has long been used in psychology to predict life outcomes.
Approach: They present the trajectory of automatic personality detection from purely psychology approaches to the latest purely natural language processing approaches on large social media datasets.
Outcome: The proposed models have been compared with the most recent approaches on large social media datasets.
Detecting Subtle Differences between Human and Model Languages Using Spectrum of Relative Likelihood (2024.emnlp-main)

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Challenge: Existing methods for detecting modelgenerated texts from human texts are limited by the fact that absolute likelihood values of texts are bound to certain linguistic and cognitive constraints.
Approach: They propose to use relative likelihood values instead of absolute ones to extract useful features from the spectrum-view of likelihood for the human-model text detection task.
Outcome: The proposed method can reveal subtle differences between human and model languages, which find theoretical roots in psycholinguistics studies.
Is In-Context Learning a Type of Error-Driven Learning? Evidence from the Inverse Frequency Effect in Structural Priming (2025.naacl-long)

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Challenge: Recent pre-trained large language models have shown the capacity to perform in-context learning (ICL) this capability could provide a way to bridge the divide between language models and humans.
Approach: They propose a new way of diagnosing whether ICL is error-driven learning . they simulated structural priming with ICL and found the effect was stronger .
Outcome: The proposed method is based on the inverse frequency effect (IFE) phenomenon is similar to error-driven learning in large language models .

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