How natural language processing and AI can help policymakers address global food insecurity

NLP offers powerful opportunities to support the UN Sustainable Development Goals (SDGs)—including SDG2 (Zero Hunger). In the ...
Security Boulevard

NDSS 2025 – CLIBE: Detecting Dynamic Backdoors In Transformer-based NLP Models

Rui Zeng (Zhejiang University), Xi Chen (Zhejiang University), Yuwen Pu (Zhejiang University), Xuhong Zhang (Zhejiang University), Tianyu Du (Zhejiang University), Shouling Ji (Zhejiang University) ...
eLife

Language comprehension functionally modulates first-order relay thalamic nuclei

This study presents a potentially valuable exploration of the role of thalamic nuclei in language processing. The results will be of interest to researchers interested in the neurobiology of language.
Frontiers

Editorial: Semantics and natural language processing in agriculture

The application of data science in agriculture enables the analysis of diverse datasets using methods such as machine learning, deep learning, computer vision, text mining (Drury and Roche, 2019), and ...
IEEE

HiGATA: Hierarchy-aware Graph Attention Networks Enhanced by Topological Analysis for Hierarchical Multi-Label Text Classification

Abstract: Hierarchical text classification (HTC) is an important yet challenging task in natural language processing (NLP), primarily due to the complexity of its taxonomic label hierarchy. Existing ...
GitHub

Harnessing LSTM Networks for Advanced Text Classification in NLP

This project demonstrates the use of Long Short-Term Memory (LSTM) networks for classifying text messages as spam or ham (non-spam). By combining Natural Language Processing (NLP) techniques with deep ...
Scientific Research Publishing

Zhang, X., Zhao, J.B. and LeCun, Y. (2015) Character-Level Convolutional Networks for Text Classification.

ABSTRACT: Since transformer-based language models were introduced in 2017, they have been shown to be extraordinarily effective across a variety of NLP tasks including but not limited to language ...
GitHub

text-analysis-and-classification-using-nlp

This is a Natural Language Processing (NLP) application that provides comprehensive analysis of text input, including various statistics and visualizations. The application is available both as a ...
IEEE

Annotation Guideline-Based Knowledge Augmentation: Toward Enhancing Large Language Models for Educational Text Classification

Abstract: Automated classification of learner-generated text to identify behavior, emotion, and cognition indicators, collectively known as learning engagement classification (LEC), has received ...
Frontiers

Medical short text classification via Soft Prompt-tuning

In recent decades, medical short texts, such as medical conversations and online medical inquiries, have garnered significant attention and research. The advances in the medical short text have ...