natural language processing 2020


Natural language processing involves the reading and understanding of spoken or written language through the medium of a computer. This includes, for example, the automatic translation of one language into another, but also spoken word recognition, or the automatic answering of questions

Gluoncv and gluonnlp: Deep learning in computer vision and natural language processing
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Abstract We present GluonCV and GluonNLP, the deep learning toolkits for computer vision and natural language processing based on Apache MXNet (incubating). These toolkits provide state-of-the-art pre-trained models, training scripts, and training logs, to facilitate Purpose The highly structured nature of medical reports makes them feasible for automated large-scale patient identification. This study aimed to develop a natural language processing (NLP) model to retrospectively retrieve patients with presence and history of carotid stenosis

Mathematical principles of natural language processing part i: Loop coordinates
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Letter defines loops, the series of letters inside the first loop are:[t]. The series of letters inside the second loop are:[snotaboutbe]. The series of letters inside the third loop are:[ngs mart]. The series of letters inside the fourth loop are:[t]. The series of letters inside the fifth

Mathematical principles of natural language processing part ii: Loop coordinates in practice
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Tensors: an Example. For space-time pseudovector (say it: xµ, µ= 4) such that {x1= time coordinate t, x2= spatial coordinate x, x3= spatial coordinate y, x4= spatial coordinate z} dealing with xµ as an object referring to the four coordinates {t, x, y, z} is easier and more

Einsteins framework for natural language processing
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Natural Language Processing is the term used to describe methods and laws applied to language, to understand it computationally. The existence of clear laws such as those in physics has never been considered the task, because perhaps-letters are not that visible as

The coefficients of mind: The hidden secret of natural language processing
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Those coefficients are closely related to the structure of text under study, which is in turn related to the writers mind language package and the linguistic understanding associated with that package in that mind. Therefore, when writing several texts, that package (for

AN ANALYSIS ON CURRENT RESEARCH TRENDS AND APPLICATIONS OF NATURAL LANGUAGE PROCESSING
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Natural Language processing is a subfield of artificial intelligence that helps computer to understand, interpret and utilize human languages. Natural Language Processing has recently gained much attention in todays world for representing and analysis human natural

Vision zero hashtags in social media: understanding end-user needs from natural language processing
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ABSTRACT 1 Vision Zero (VZ) is a global traffic safety policy which promotes road safety by advocating the 2 shared responsibility of designers, policymakers, and road users to work toward the goal of 3 nullifying preventable fatalities and severe injuries caused by man

Logic-Based Natural Language Processing Winter Semester 2019/20 Lecture Notes
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This document contains the course notes for the course Logic-Based Natural Language Processing held at in the Winter Semesters ff. This course is a one-semester introductory course that

Integrated Natural Language Processing and Meta-Network Analysis for Social Sensing of Location-Event-Actor Nexus in Disasters
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The objective of this study is to propose and test a methodological framework that integrates natural language processing and meta-network analysis to leverage social media data for situation assessment and action prioritization in disasters. Situation assessment based on

A Survey on Natural Language Processing in context with Machine Learning
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Natural Language Processing study has reached a point where distinct machine learning algorithms were implemented in order to obtain better results in the classification of text. This paper presents many previous research works in this field of interest. It discusses the

REVIEW ON NATURAL LANGUAGE PROCESSING WITH ARTIFICIAL INTELLIGENCE
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Its obvious that humans can converse with each other using speech (with help of different languages) or sign but now machines can too! This is known as Natural Language Processing (NLP) where machines analyze and understand language and speech as it is

AI Therapist Using Natural Language Processing
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The main objective of our project is to handle with the stress of people, especially youth, IT professionals using natural language processing technique. A human beings cognitive system can be simulated by Artificial Intelligence Systems. An Expert System for Stress

Text Summarization using Natural Language Processing
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In this project, Automatic text summarization is basically summarizing of the given paragraph using natural language processing and machine learning. There has been an explosion in the amount of text data from a variety of sources. This volume of text is an invaluable source

REVIEW ON THE ROLE OF NATURAL LANGUAGE PROCESSING IN MAKING INTERACTIVE SYSTEMS
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ABSTRACT NLP is a technological procedure that enables PCs to get significance from client content sources of info. In doing so, it endeavors to comprehend the goal of the intent, rather than just the information about the intent itself. It is a part of artificial intelligence

Real Time Linguistic Analysis using Natural Language Processing
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There are plenty of analysis done on linguistic communication process to develop and improve systems that square measure a lot of human, which will perceive easy directions. There are many research organizations working on different projects of NLP. This paper can

3rd Workshop on Natural Language Processing for Requirements Engineering (NLP4RE20)
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Natural language processing (NLP) plays an important role in several areas of software engineering, and requirements engineering (RE) is not an exception. Requirements are generally authored and communicated in textual form and in different levels of formality, from

Comparison of Parsers Dealing with Text Ambiguity in Natural Language Processing
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Abstract Parsing in Natural Language processing is a vast domain which serves as a pre- processing step for different NLP operations like information extraction, etc. Multiple parsing techniques have been presented until now. Some of them unable to resolve the ambiguity

Lorentz Transformations Special Relativity for Natural Language Processing
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This paper aims at applying Lorentz transformations to Literal Variables (letters), introduced recently in the research titled: Einsteins framework for Natural Language Processing referred to bellow. We show that literal variables (when moving from local frame to another

Performance Catalogs for Just-In-Time Delivery of Web-based Natural Language Processing Services
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The modern production of industrial goods is often based on Just-In-Time delivery of required resources. This paradigm makes a variety of demands on the infrastructure in which production takes place or in which services are provided and consumed. The reasons


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