The progress in natural language processing (NLP) research over the last years, offers novel business opportunities for companies, as automated user interaction or improved data analysis. Building sophisticated NLP applications requires dealing with modern machine learning (ML) technologies, which impedes enterprises from establishing successful projects. Our experience applied projects shows t...

In the field of Natural Language Processing (NLP), reinforcement learning (RL) has drawn attention as a viable method for training models. An agent is trained to interact with linguistic environment in order carry out given task using RL- based NLP, and learns from feedback form rewards or penalties. This been effectively used variety problems, including text summarization, conversation systems...

abstract background: neurolinguistic programming (nlp) refers to the science and art of reaching success and perfection. it is a collection of the skills based on human beings’ psychological characteristics through which the individuals obtain the ability to use their personal capabilities as much as possible. this study aimed to investigate the efficacy of nlp training on mental health in nurs...

Summarizing is the practice of condensing a body material into more manageable size while retaining all key data elements and intended meaning. Automatic text summarizing systems can now quickly retrieve summary phrases from input documents. However, it has number shortcomings, such as duplication, insufficient coverage, incorrect extraction lines, poor sentence coherence. In this study, new co...