Tag: natural language processing

Researchers have developed EDIRL, an adaptive relation linking method that boosts multihop question answering over knowledge graphs by choosing between ...

A new framework called MR-UIE trains large language models to reason from multiple perspectives before extracting structured information, setting new ...

A new context-aware semantic similarity method substantially improves unsupervised word sense disambiguation without requiring annotated training data.

Researchers in Morocco have developed IACAN, a deep learning architecture that dynamically balances convolutional and attention branches using KL divergence ...

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 ...