We introduce a biologically inspired bird-flocking experimental framework for text summarization that identifies the most salient sentences using contextual information, sentence position, and ...

A new technical paper “AutoGNN: End-to-End Hardware-Driven Graph Preprocessing for Enhanced GNN Performance” was published by researchers at KAIST, Panmnesia, Peking University, Hanyang University, ...

Abstract: With the increasing availability of raw text data, Natural Language Processing (NLP) application like predictive modeling has become more prevalent. Consequently, the effectiveness of text ...

Spammers and malicious actors inundate us with a steady stream of text messages—often purporting to be from legitimate institutions or companies. Stanching this flow isn’t easy. Just as the unwanted ...

You probably send dozens of text messages a week. But do any of them truly deepen your friendships? For many people, the answer is no. “We’re constantly receiving and exchanging information, and ...

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A large-scale randomized trial of texting therapy concluded that its outcomes were as good as video sessions in treating depression. By Ellen Barry One of the most popular mental health innovations of ...

This project implements a sophisticated text classification system to detect AI-generated content using BERT (Bidirectional Encoder Representations from Transformers). The system can distinguish ...

Abstract: Text preprocessing is a key step in Natural Language Processing (NLP) that deals with the cleaning, tokenization and structure of text before building models. A comparison of the recent ...