Medical image segmentation is an important step in many generic applications such as
population analysis and, more accessible, can be made into a crucial tool in diagnosis and …

Accurate generative chatbots are usually trained on large datasets of question–answer
pairs. Despite such datasets not existing for some languages, it does not reduce the need for …

Currently, Customers are struggling to retain their business in today's competitive markets.
Thus, the issue of customer churn becomes a significant challenge for the industries. In …

Deep neural networks have emerged as a flexible framework that achieved state-of-the-art
performance in many NLP applications such as machine translation, named entity …

Chatbots enable the automation of several components in customer service and allow the
support of multiple users. Despite their multiple advantages, due to the large amount of …

Sentiment analysis is a task of predicting sentiments from the opinionated data and
classifies them as positive, negative, ratings (stars or numerical), thumbs up-thumbs down …

More recently, deep neural networks received much attention from the recommender
systems community where CNNs and RNNs were applied in different recommendation …

We propose a new method to detect when users express the intent to leave a service, also
known as churn. While previous work focuses solely on social media, we show that this …

Accurate intent detection-based chatbots are usually trained on larger datasets that are not
available for some languages. Seeking the most accurate models, three English benchmark …

Self-training is a semi-supervised learning approach for utilizing unlabeled data to create
better learners. The efficacy of self-training algorithms depends on their data sampling …