With the advent of deep neural models in natural language processing tasks, having a large
amount of training data plays an essential role in achieving accurate models. Creating valid …

In this paper, a low-cost Persian Sentiment Analysis is performed without any Persian
training data. A cross-lingual method is proposed to overcome the shortage of labeled …

One of the most challenging problems that we may face in natural language processing
tasks is the lack of annotated training datasets. In this paper our goal is to consider the …

This companion provides an overview of current work in the areas of Persian Computational
Linguistics (CL) and Natural Language Processing (NLP). It covers a great number of topics …

This chapter is devoted to the distributional representation of words. Considering that
context plays the most important role in word representation, we start the chapter with this …