In this article, the proposed n-stage LDA method, which can enable the LDA method to be used more effectively, is explained in detail.
Among the Weka results, the most successful method was n-stage LDA, and the most successful algorithm was Random Forest.
The primary goal of ad-hoc retrieval (document retrieval in the context of question answering) is to find relevant documents satisfied the information need posted in a natural language query.
Deep language models learning a hierarchical representation proved to be a powerful tool for natural language processing, text mining and information retrieval.
Text embedding representing natural language documents in a semantic vector space can be used for document retrieval using nearest neighbor lookup.