Cross Domain Classification

Supervised machine learning classifica- tion algorithms assume both train and test data are sampled from the same domain or distribution. However, performance of the algorithms degrade for test data from …...

Advances in transfer learning have let go the limitations of traditional supervised machine learning algorithms for being de- pendent on annotated training data for training new models for every new …...

AbstractArgument mining has become a popular research area in NLP. It typically includes the identification of argumentative components, e.g. claims, as the central component of an argument. We perform a …...

Understanding the polarity or sentiment of a text is an important task in many application scenarios. Sentiment Analysis of a text can be used to answer various questions such as …...