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A novel span and syntax enhanced large language model based framework for fine-grained sentiment analysis

Author(s): Zou H; Wang Y; Huang A;

Fine-grained aspect-based sentiment analysis requires language models to identify aspect entities and the corresponding sentiment information in the input text content. Transformer-based pre-trained large language models have demonstrated remarkable performance on various challenging natural language processing tasks. However, large language models face l ...

Article GUID: 40876298


MedCLIP-SAMv2: Towards universal text-driven medical image segmentation

Author(s): Koleilat T; Asgariandehkordi H; Rivaz H; Xiao Y;

Segmentation of anatomical structures and pathologies in medical images is essential for modern disease diagnosis, clinical research, and treatment planning. While significant advancements have been made in deep learning-based segmentation techniques, many of these methods still suffer from limitations in data efficiency, generalizability, and interactivi ...

Article GUID: 40779830


Statistical or Embodied? Comparing Colorseeing, Colorblind, Painters, and Large Language Models in Their Processing of Color Metaphors

Author(s): Nadler EO; Guilbeault D; Ringold SM; Williamson TR; Bellemare-Pepin A; Com?a IM; Jerbi K; Narayanan S; Aziz-Zadeh L;

Can metaphorical reasoning involving embodied experience-such as color perception-be learned from the statistics of language alone? Recent work finds that colorblind individuals robustly understand and reason abstractly about color, implying that color associations in everyday language might cont ...

Article GUID: 40621800


Trilingual families language strategies: potential predictors and effect on trilingual exposure

Author(s): Quirk E; Hadeed N; Byers-Heinlein K;

Family language strategies are approaches that parents adopt for language use with their multilingual children. In bilingual contexts, these strategies influence children's language exposure and development (Macleod et al., 2022). In the more complex context of trilingualism, how families settle on strategies and their relationship with exposure may d ...

Article GUID: 40443954


Connected speech profiles in mild cognitive impairment reflect global cognition

Author(s): Pellerin S; Houzé B; Bedetti C; Phillips N; Brambati SM;

BackgroundMild cognitive impairment (MCI), a prodromal stage of Alzheimer's disease (AD) for many individuals, is accompanied by widespread connected speech (CS) changes (e.g., shorter CS samples, mention of fewer semantic content units, lower syntactic complexity). Nevertheless, findings on CS in MCI are heterogeneous. This heterogeneity, combined wi ...

Article GUID: 40232260


Large language models deconstruct the clinical intuition behind diagnosing autism

Author(s): Stanley J; Rabot E; Reddy S; Belilovsky E; Mottron L; Bzdok D;

Efforts to use genome-wide assays or brain scans to diagnose autism have seen diminishing returns. Yet the clinical intuition of healthcare professionals, based on longstanding first-hand experience, remains the gold standard for diagnosis of autism. We leveraged deep learning to deconstruct and interrogate the logic of expert clinician intuition from cli ...

Article GUID: 40147442


Utilizing large language models for detecting hospital-acquired conditions: an empirical study on pulmonary embolism

Author(s): Cheligeer C; Southern DA; Yan J; Wu G; Pan J; Lee S; Martin EA; Jafarpour H; Eastwood CA; Zeng Y; Quan H;

Objectives: Adverse event detection from Electronic Medical Records (EMRs) is challenging due to the low incidence of the event, variability in clinical documentation, and the complexity of data formats. Pulmonary embolism as an adverse event (PEAE) is particularly difficult to identify using exi ...

Article GUID: 40105654


The effects of referential continuity on novel word learning in bilingual and monolingual preschoolers

Author(s): Moore C; Williams ME; Byers-Heinlein K;

Previous research suggests that monolingual children learn words more readily in contexts with referential continuity (i.e., repeated labeling of the same referent) than in contexts with referential discontinuity (i.e., referent switches). Here, we extended this work by testing monolingual and bilingual 3- and 4-year-olds' (N = 64) novel word learning ...

Article GUID: 39798202


Ion channel classification through machine learning and protein language model embeddings

Author(s): Ghazikhani H; Butler G;

Ion channels are critical membrane proteins that regulate ion flux across cellular membranes, influencing numerous biological functions. The resource-intensive nature of traditional wet lab experiments for ion channel identification has led to an increasing emphasis on computational techniques. This study extends our previous work on protein language mode ...

Article GUID: 39572876


Quebec-based parents' concerns regarding their children's multilingual development

Author(s): Quirk E; Brouillard M; Ahooja A; Ballinger S; Polka L; Byers-Heinlein K; Kircher R;

Many parents express concerns for their children's multilingual development, yet little is known about the nature and strength of these concerns - especially among parents in multilingual societies. This pre-registered, questionnaire-based study addresses this gap by examining the concerns of 821 Quebec-based parents raising infants and toddlers aged ...

Article GUID: 39055771


Cross-modal plasticity in children with cochlear implant: converging evidence from EEG and functional near-infrared spectroscopy

Author(s): Deroche MLD; Wolfe J; Neumann S; Manning J; Hanna L; Towler W; Wilson C; Bien AG; Miller S; Schafer E; Gemignani J; Alemi R; Muthuraman M; Koirala N; Gracco VL;

Over the first years of life, the brain undergoes substantial organization in response to environmental stimulation. In a silent world, it may promote vision by (i) recruiting resources from the auditory cortex and (ii) making the visual cortex more efficient. It is unclear when such changes occu ...

Article GUID: 38846536


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