Abstract Relational extraction plays an important role in the field of natural language processing to predict semantic relationships between entities a sentence. Currently, most models have typically utilized tools capture high-level features with attention mechanism mitigate adverse effects noise sentences for prediction results. However, task relational classification, these mechanisms do not...

This article presents a state of the art and a comparison of unsupervised methods for automatic keywords extraction from documents. We evaluate several methods from the literature on two sets of documents by comparing the keywords extracted and those initially associated with documents. We found that the best method (the one that retrieves keywords the closest to the authors’ keywords) is based...

Abstract:Non-oil exports are increased in the measures taken, to reduce Iran's dependence on oil revenues. Creating new business areas in different sectors and unused capacities are fac-tors that make it imperative to pay attention to the development of non-oil exports. Ex-port growth is the key to economic recovery for governments. Among non-oil exports, in many countries of the world th...