DeepMiner at SemEval-2018 Task 1: Emotion Intensity Recognition Using Deep Representation Learning

no code implementations • SEMEVAL 2018 • Habibeh Naderi, Behrouz Haji Soleimani, Saif Mohammad, Svetlana Kiritchenko, Stan Matwin

In this paper, we propose a regression system to infer the emotion intensity of a tweet.

Feature Engineering Representation Learning +2

Efficient Neural Task Adaptation by Maximum Entropy Initialization

no code implementations • 25 May 2019 • Farshid Varno, Behrouz Haji Soleimani, Marzie Saghayi, Lisa Di Jorio, Stan Matwin

Transferring knowledge from one neural network to another has been shown to be helpful for learning tasks with few training examples.

Transfer Learning

Multimodal Deep Learning for Mental Disorders Prediction from Audio Speech Samples

no code implementations • 3 Sep 2019 • Habibeh Naderi, Behrouz Haji Soleimani, Stan Matwin

We use several state-of-the-art embedding techniques including BERT, FastText, and Doc2VecC for the text representation learning and WaveNet and VGG-ish models for audio encoding.

Multimodal Deep Learning Representation Learning +1