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Enhancing Pre-Trained Generative Language Models with Question Attended Span Extraction on Machine Reading Comprehension
Machine Reading Comprehension (MRC) poses a significant challenge in the field of Natural Language Processing (NLP).
QASE Enhanced PLMs: Improved Control in Text Generation for MRC
To address the challenges of out-of-control generation in generative models for machine reading comprehension (MRC), we introduce the Question-Attended Span Extraction (QASE) module.
A Survey on Open Information Extraction from Rule-based Model to Large Language Model
Open Information Extraction (OpenIE) represents a crucial NLP task aimed at deriving structured information from unstructured text, unrestricted by relation type or domain.
A New Approach to Accent Recognition and Conversion for Mandarin Chinese
A prototype of an end-to-end accent converter model is also presented.
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