scholarly journals Military Applications of Natural Language Processing and Software

2011 ◽  
pp. 301-321
Author(s):  
J. A. Rodger ◽  
P. C. Pendharkar
Keyword(s):  
Natural Language Processing ◽  
Natural Language ◽  
Language Processing ◽  
Interactive Technology ◽  
Health Protection ◽  
Design And Implementation ◽  
Military Applications ◽  
Clinical Surveillance ◽  
Analysis Design

The case study describes the process of planning, analysis, design and implementation of an integrated voice interactive device (VID) for the Navy. The goal of this research is to enhance Force Health Protection and to improve medical readiness by applying voice interactive technology to environmental and clinical surveillance activities aboard U.S. Navy ships.

scholarly journals Design and Implementation of a Chatbot for Kurdish Language Speakers Using Chatfuel Platform

2021 ◽  
pp. 117-135
Author(s):  
Hemn Karim Ahmed ◽  
Jamal Ali Hussein
Keyword(s):  
Natural Language Processing ◽  
Natural Language ◽  
Language Processing ◽  
Direct Contact ◽  
Software Agent ◽  
Design And Implementation ◽  
Iraqi Kurdistan ◽  
Questions And Answers ◽  
Electronic Tourist Guide

Chatbot is a software agent that is used to conduct intelligent conversations between machines and humans. Chatbots are mostly depend on Natural Language Processing (NLP). In this paper, the design and implementation of a chatbot are provided to help Kurdish speakers in using online conversations via texts to find answers instead of direct contact with human agents. The NLP-based software agent is implemented using the Chatfuel platform. Chatfuel uses artificial intelligence to communicate with humans by simulating human conversations through voice commands or texts. The proposed chatbot is tested on an electronic tourist guide that helps visitors to the religious places in the mountainous village of Barzanja that is located in Iraqi Kurdistan. The case study is conducted by using three-hundred questions and answers. One hundred volunteers participated in this study. The participant asks a question and the bot provides an answer if it recognizes the question, otherwise it provides a default answer along with a suggestion of how to use the system properly. The data of these experiment is collected, analyzed, and problems regarding Kurdish language are detected. Designing software agents for processing Kurdish texts faces many challenges. Kurdish texts have not yet been processed using natural language processing (NLP). In addition, Kurdish font disorder and the lack of standardized keyboards and writing styles makes processing Kurdish text difficult. Furthermore, Kurdish language consists of variety of different dialects with different typing styles. In this research, we specifically focus on the design of a software agent for the Central Kurdish (Sorani) dialect. We managed to solve some of the problems related to the Kurdish language and suggest solutions to others. 

scholarly journals Natural language processing (NLP) tools in extracting biomedical concepts from research articles: a case study on autism spectrum disorder

2020 ◽  
Vol 20 (S11) ◽  
Author(s):  
Jacqueline Peng ◽  
Mengge Zhao ◽  
James Havrilla ◽  
Cong Liu ◽  
Chunhua Weng ◽  
...  
Keyword(s):  
Autism Spectrum Disorder ◽  
Natural Language Processing ◽  
Natural Language ◽  
Language Processing ◽  
Clinical Manifestations ◽  
Predictive Performance ◽  
Autism Spectrum ◽  
Spectrum Disorder ◽  
Research Articles

Abstract Background Natural language processing (NLP) tools can facilitate the extraction of biomedical concepts from unstructured free texts, such as research articles or clinical notes. The NLP software tools CLAMP, cTAKES, and MetaMap are among the most widely used tools to extract biomedical concept entities. However, their performance in extracting disease-specific terminology from literature has not been compared extensively, especially for complex neuropsychiatric disorders with a diverse set of phenotypic and clinical manifestations. Methods We comparatively evaluated these NLP tools using autism spectrum disorder (ASD) as a case study. We collected 827 ASD-related terms based on previous literature as the benchmark list for performance evaluation. Then, we applied CLAMP, cTAKES, and MetaMap on 544 full-text articles and 20,408 abstracts from PubMed to extract ASD-related terms. We evaluated the predictive performance using precision, recall, and F1 score. Results We found that CLAMP has the best performance in terms of F1 score followed by cTAKES and then MetaMap. Our results show that CLAMP has much higher precision than cTAKES and MetaMap, while cTAKES and MetaMap have higher recall than CLAMP. Conclusion The analysis protocols used in this study can be applied to other neuropsychiatric or neurodevelopmental disorders that lack well-defined terminology sets to describe their phenotypic presentations.

scholarly journals Natural Language Processing (NLP) and Its Impact across Industries – Unlocking the True Potential of Digital Healthcare (A Case Study Approach)

2021 ◽  
pp. 86-98
Author(s):  
Sourajit Roy ◽  
Pankaj Pathak ◽  
S. Nithya
Keyword(s):  
Natural Language Processing ◽  
Natural Language ◽  
Language Processing ◽  
Computational Models ◽  
M2m Communication ◽  
Digital Revolution ◽  
Language Complexity ◽  
Study Approach ◽  
Data Variability

During the advent of the 21st century, technical breakthroughs and developments took place. Natural Language Processing or NLP is one of their promising disciplines that has been increasingly dynamic via groundbreaking findings on most computer networks. Because of the digital revolution the amounts of data generated by M2M communication across devices and platforms such as Amazon Alexa, Apple Siri, Microsoft Cortana, etc. were significantly increased. This causes a great deal of unstructured data to be processed that does not fit in with standard computational models. In addition, the increasing problems of language complexity, data variability and voice ambiguity make implementing models increasingly harder. The current study provides an overview of the potential and breadth of the NLP market and its acceptance in industry-wide, in particular after Covid-19. It also gives a macroscopic picture of progress in natural language processing research, development and implementation.

BDI logic applied to a dialogical interpretation of human–machine cooperative dialogues

2020 ◽  
Author(s):  
Pablo Sierra
Keyword(s):  
Natural Language Processing ◽  
Natural Language ◽  
Temporal Logic ◽  
Language Processing ◽  
Software Framework ◽  
Common Goal ◽  
Design And Implementation ◽  
Dialogical Logic ◽  
Bdi Logic

Abstract We first define a language for the dialogical logic and the models that the language generates. This language is thought to capture the structure of the dialogues captured by Lekta—a software framework oriented to the design and implementation of natural language processing-related applications—and its users. These dialogues are defined as cooperative dialogues in which the dialogical logic perspective of a dialogue seen as a competition is shifted into a perspective in which both agents cooperate towards a common goal. Later we define a BDI temporal logic based on a modal framework that we will use to study the beliefs, desires and intentions of both agents based on the model generated by the dialogical logic.

A KNOWLEDGE-BASED CHINESE LETTER-WRITER

1988 ◽  
Vol 02 (01) ◽  
pp. 37-48
Author(s):  
KOH TOH TZU
Keyword(s):  
Natural Language Processing ◽  
Natural Language ◽  
Language Processing ◽  
Knowledge Engineering ◽  
Systems Science ◽  
Form Processing ◽  
Design And Implementation ◽  
Knowledge Based ◽  
Chinese Business ◽  
Letter Writer

Since the end of last year, the researchers at the Institute of Systems Science (ISS) started to consider a more ambitious project as part of its multilingual programming objective. This project examines the domain of Chinese Business Letter Writing. With the problem defined as generating Chinese letters to meet business needs, investigations suggest an intersection of 3 possible approaches: knowledge engineering, form processing and natural language processing. This paper attempts to report some of the findings and document the design and implementation issues that have arisen and been tackled as prototyping work progresses.

scholarly journals A prior case study of natural language processing on different domain

2020 ◽  
Vol 10 (5) ◽  
pp. 4928
Author(s):  
Shruthi J. ◽  
Suma Swamy
Keyword(s):  
Natural Language Processing ◽  
Natural Language ◽  
Language Processing ◽  
Ordinary Language ◽  
Digital Systems ◽  
Advanced Technology ◽  
Digital Data ◽  
Significant Implication ◽  
Digital World

In the present state of digital world, computer machine do not understand the human’s ordinary language. This is the great barrier between humans and digital systems. Hence, researchers found an advanced technology that provides information to the users from the digital machine. However, natural language processing (i.e. NLP) is a branch of AI that has significant implication on the ways that computer machine and humans can interact. NLP has become an essential technology in bridging the communication gap between humans and digital data. Thus, this study provides the necessity of the NLP in the current computing world along with different approaches and their applications. It also, highlights the key challenges in the development of new NLP model.

Simulation and Visualization of Concept Algebra in MATLAB

2014 ◽  
Vol 6 (1) ◽  
pp. 30-55 ◽  
Author(s):  
Xiaoyu Lin ◽  
Yingxu Wang
Keyword(s):  
Natural Language Processing ◽  
Natural Language ◽  
Mathematical Models ◽  
Language Processing ◽  
Real World ◽  
Formal Knowledge ◽  
Design And Implementation ◽  
Visualization Software ◽  
Formal Concepts ◽  
Algebraic Operations

Concept algebra (CA) is a denotational mathematics for formal knowledge manipulation and natural language processing. In order to explicitly demonstrate the mathematical models of formal concepts and their algebraic operations in CA, a simulation and visualization software is developed in the MATLAB environment known as the Visual Simulator of Concept Algebra (VSCA). This paper presents the design and implementation of VSCA and the theories underpinning its development. Visual simulations for the sets of reproductive and compositional operations of CA are demonstrated by real-world examples throughout the elaborations of CA and VSCA.

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