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

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

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