With the explosive growth of online information, recommender systems play a key role to
alleviate such information overload. Due to the important application value of recommender …

In recent years, the amount of digital text contents or documents in the Bengali language has
increased enormously on online platforms due to the effortless access of the Internet via …

The word mover's distance (WMD) is a fundamental technique for measuring the similarity of
two documents. As the crux of WMD, it can take advantage of the underlying geometry of the …

Traditional hand-crafted linguistically-informed features have often been used for
distinguishing between translated and original non-translated texts. By contrast, to date …

Document classification aims to assign one or more classes to a document for ease of
management by understanding the content of a document. Hierarchical attention network …

In this paper, we address the problem of finding a novel document descriptor based on the
covariance matrix of the word vectors of a document. Our descriptor has a fixed length …

Comparable entity identification plays an essential role in the decision making of both
consumers and firms in competitive environment. In contrast to traditional cooccurrence …

Short text categorization is a crucial issue to many applications, eg, Information Retrieval,
Question-Answering System, MRI Database Construction and so forth. Many researches …

Neural networks, and in particular recurrent neural networks (RNNs) have recently been
shown to give a state-ofthe-art performance on some text classification tasks. However, most …

Similarity measures based purely on word embeddings are comfortably competing with
much more sophisticated deep learning and expert-engineered systems on unsupervised …