Papers with psycholinguistic analysis
Prefix Parsing is Just Parsing (2026.acl-short)
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| Challenge: | Existing prefix parsers are typically tied to particular parsing algorithms. |
| Approach: | They propose a prefix grammar transformation that reduces prefix parsing to ordinary parsers . they propose enabling prediction of the next token by computing the next-token weight vector . |
| Outcome: | The proposed method reduces prefix parsing to ordinary parsers without modification . the transformed grammar is only a small factor larger than the input . |
TONY: an open-source TOolkit for Nlp in psYchology (2026.acl-demo)
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Federico Ravenda, Sofia Irene Ravenda, Volodymyr Karpenko, Daniele Montagnani, Andrea Raballo, Antonietta Mira
| Challenge: | Existing NLP tools are fragmented, closed-source, or difficult to use . a single sentence can convey emotion, social dynamics, cognitive states, and implicit attitudes . |
| Approach: | They propose an open-source python TOolkit for NLP in clinical psychology. |
| Outcome: | The TOolkit bridges traditional psycholinguistic analysis and modern NLP . it integrates interpretable lexical features with state-of-the-art lightweight transformer models . the toolkit is released under an open-source license and is evaluated through multiple MH–related datasets. |
Psycholinguistic Tripartite Graph Network for Personality Detection (2021.acl-long)
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| Challenge: | Existing work on personality detection from online posts adopts multifarious deep neural networks to represent the posts and builds predictive models in a data-driven manner without the exploitation of psycholinguistic knowledge. |
| Approach: | They propose a psycholinguistic knowledge-based tripartite graph network, TrigNet, which consists of a tripartitic graph network and a BERT-based graph initializer. |
| Outcome: | The proposed graph network outperforms the existing state-of-the-art model by 3.47 and 2.10 points in average F1 on two datasets. |
ScanDL: A Diffusion Model for Generating Synthetic Scanpaths on Texts (2023.emnlp-main)
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| Challenge: | Eye movements in reading are a key part of psycholinguistic research, but the lack of eye movement data and its unavailability at application time pose a major challenge for this line of research. |
| Approach: | They propose a novel sequence-to-sequence diffusion model that generates synthetic scanpaths on texts by leveraging pre-trained word representations and jointly embedding both the stimulus text and the fixation sequence. |
| Outcome: | The proposed model outperforms state-of-the-art models in psycholinguistic analysis and is able to exhibit human-like reading behavior. |