AIMC Topic: Linguistics

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Does Pollyanna hypothesis hold true in death narratives? A sentiment analysis approach.

Acta psychologica
Pollyanna hypothesis claims that human beings have a universal tendency to use positive words more frequently and broadly than negative words. The present study aims to test Pollyanna hypothesis in medical death narratives at both lexical and text le...

Resilience evaluation of low-carbon supply chain based on improved matter-element extension model.

PloS one
How to evaluate the resilience level and change trend of supply chain is an important research direction in current supply chain management practice. This paper proposes a new method of supply chain resilience assessment based on hesitant fuzzy lingu...

What's in a Name? Experimental Evidence of Gender Bias in Recommendation Letters Generated by ChatGPT.

Journal of medical Internet research
BACKGROUND: Artificial intelligence chatbots such as ChatGPT (OpenAI) have garnered excitement about their potential for delegating writing tasks ordinarily performed by humans. Many of these tasks (eg, writing recommendation letters) have social and...

Grounded language acquisition through the eyes and ears of a single child.

Science (New York, N.Y.)
Starting around 6 to 9 months of age, children begin acquiring their first words, linking spoken words to their visual counterparts. How much of this knowledge is learnable from sensory input with relatively generic learning mechanisms, and how much ...

Retrieval augmentation of large language models for lay language generation.

Journal of biomedical informatics
The complex linguistic structures and specialized terminology of expert-authored content limit the accessibility of biomedical literature to the general public. Automated methods have the potential to render this literature more interpretable to read...

Text Dialogue Analysis for Primary Screening of Mild Cognitive Impairment: Development and Validation Study.

Journal of medical Internet research
BACKGROUND: Artificial intelligence models tailored to diagnose cognitive impairment have shown excellent results. However, it is unclear whether large linguistic models can rival specialized models by text alone.

BioEGRE: a linguistic topology enhanced method for biomedical relation extraction based on BioELECTRA and graph pointer neural network.

BMC bioinformatics
BACKGROUND: Automatic and accurate extraction of diverse biomedical relations from literature is a crucial component of bio-medical text mining. Currently, stacking various classification networks on pre-trained language models to perform fine-tuning...

Word differences in news media of lower and higher peace countries revealed by natural language processing and machine learning.

PloS one
Language is both a cause and a consequence of the social processes that lead to conflict or peace. "Hate speech" can mobilize violence and destruction. What are the characteristics of "peace speech" that reflect and support the social processes that ...

A multi-stage group decision making approach for sustainable supplier selection based on probabilistic linguistic time-ordered incentive operator.

PloS one
This study proposes a novel multi-stage multi-attribute group decision making method under a probabilistic linguistic environment considering the development state and trend of alternatives. First, the probabilistic linguistic term set (PLTS) is used...

Investigating the impact of structured reporting on the linguistic standardization of radiology reports through natural language processing over a 10-year period.

European radiology
OBJECTIVES: To investigate how a transition from free text to structured reporting affects reporting language with regard to standardization and distinguishability.