Tag - Affective Computing

Deep Learning for NLP: An Overview of Recent Trends

A new paper discusses some of the recent trends in deep learning based natural language processing (NLP) systems and applications. The focus is on the review and comparison of models and methods that have achieved state-of-the-art (SOTA) results on v...

Detecting Sarcasm with Deep Convolutional Neural Networks

Detection of sarcasm is important in other areas such as affective computing and sentiment analysis because such expressions can flip the polarity of a sentence. comments By Elvis Saravia, Affective Computing & NLP Researcher Overview This paper addr...

XLNet Outperforms BERT on Several NLP Tasks

XLNet is a new pretraining method for NLP that achieves state-of-the-art results on several NLP tasks. comments By Elvis Saravia, Affective Computing & NLP Researcher Two pretraining objectives that have been successful for pretraining neural network...