This project explores the use of word embeddings to classify words and plot the similarity between them. Word embeddings are a powerful tool in natural language processing (NLP) that represent words ...

This repository contains the MATLAB code for the paper titled "Enhancing Human-in-the-Loop Learning for Binary Sentiment Word Classification," authored by Belen Martin-Urcelay, Christopher J. Rozell, ...

Abstract: Nested named entity recognition is aimed at overlapping entities. The span-based approach considers nested named entity recognition as a two-stage task ...

When people practice simple word classification tasks before nodding off -- knowing that a 'cat' is an animal or that 'flipu' isn't found in the dictionary, for example -- their brains will ...

Abstract: In this article, the author explores the connection between word attributes and player scores. They create a multi-input, multi-output LSTM classification model to predict the distribution ...