Word embeddings in NLP

We will discuss word embeddings this week. Word embeddings represent a fundamental shift in natural language processing (NLP) ...
JSTOR Daily

Semantic Encoding and the Effects of Formal Intralist Similarity

The central question was whether subjects would use semantic encoding to avoid interference. The learning task consisted of eight word triads. On test trials the subjects were given the 24 words and ...
IEEE

Contrastive Learning-Based Semantic Communications

Abstract: Recently, there has been a growing interest in learning-based semantic communication because it can prioritize the preservation of meaningful semantic information over the accuracy of the ...
GitHub

Diachronic Semantic Encoding Based on Pre-trained Language Model for Temporal Knowledge Graph Reasoning

This repository contains the code for DSEP (Diachronic Semantic Encoding Based on Pre-trained Language Model for Temporal Knowledge Graph Reasoning)[https://doi.org ...
GitHub

EmoLanguage: Semantic Emoji Encoding System

A sophisticated language encoding system that transforms English text into semantically meaningful emoji sequences using Large Language Models (LLMs). Inspired by the Netflix series Pantheon, this ...
IEEE

Semantic Feature Division Multiple Access for Digital Semantic Multiple Access Channels

Abstract: To solve the multi-user semantic communication network capacity bottlenecks, this paper proposes a semantic feature domain multiple access (SFDMA) scheme. By extracting and encoding semantic ...