Question Type Classification

We compare different word embeddings from a standard window based skipgram model, a skipgram model trained using dependency context features and a novel skipgram variant that utilizes additional information from …...

AbstractRepresentation learning is a key issue for most Natural Language Processing (NLP) tasks. Most existing representation models either learn little structure information or just rely on pre-defined structures, leading to …...

AbstractCommunity Question Answering forums are very popular nowadays, as they represent effective means for communities to share information around particular topics. But the information shared on these forums are often …...

Data augmentation with mixup has shown to be effective on various computer vision tasks. Despite its great success, there has been a hurdle to apply mixup to NLP tasks since …...