Predicting which words are considered hard to understand for a given target population is a vital step in many Natural Language Processing applications such as text simplification. A system could ...

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, ...

Because the word-level criterion better matches performance evaluation criteria such as WER, an improved word recognition performance can be achieved. We evaluated and compared MWCE criterion in a ...

Embedding models typically associate each word with a single real-valued vector, representing its different properties. Evaluation methods, therefore, need to analyze the accuracy and completeness of ...

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 ...