Tag: natural language processing

Researchers have built a hybrid deep learning model combining BiLSTM, Transformer and 1D CNN components that detects AI-generated text with ...

A harmonised benchmark of lexical models, biomedical transformers and retrieval-grounded large language models shows that internal test scores fail to ...

The University at Albany's patent-pending GrantsMate platform uses retrieval-augmented generation and memory-based AI to unify funding discovery, collaborator identification and ...

A new survey in Vicinagearth provides the first systematic review of multi-intent spoken language understanding, comparing decoding strategies, modeling approaches, ...

Researchers at Johns Hopkins All Children's Hospital developed CLASS, a large language model pipeline that extracted pediatric surgical procedure data ...

Researchers have developed SA-RMMR, an extractive AI framework that summarizes thousands of e-commerce product reviews while preserving product aspects, balancing ...

A new unsupervised framework transfers part-of-speech annotations to low-resource languages using machine-generated pseudo-parallel data instead of real parallel corpora.

A comprehensive review of more than 140 studies traces how aspect-based sentiment analysis evolved from rule-based opinion mining to large ...

A study of 126,539 citizen requests in Shenzhen finds that an AI-powered government platform improved bureaucratic response quality only after ...

A new neural framework called CMCE+BK combines extended candidate events with multi-level background knowledge to dramatically improve the mining of ...