Results 261 to 270 of about 51,786 (296)

From NLP (Natural Language Processing) to MLP (Machine Language Processing)

2010
Natural Language Processing (NLP) in combination with Machine Learning techniques plays an important role in the field of automatic text analysis. Motivated by the successful use of NLP in solving text classification problems in the area of e-Participation and inspired by our prior work in the field of polymorphic shellcode detection we gave classical ...
Peter Teufl, Udo Payer, Guenther Lackner
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Natural language processing (NLP) applied on issue trackers

Proceedings of the 4th ACM SIGSOFT International Workshop on NLP for Software Engineering, 2018
In the domain of software engineering NLP techniques are needed to use and find duplicate or similar development knowledge which are stored in development documentation as development tasks. To understand duplicate and similar development documentations we will discuss different NLP techniques as descriptive statistics, topic analysis and similarity ...
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Natural Language Processing (NLP) and Text Analytics

2020
In the preceding chapters, we have solely relied on the structure of the HTML documents themselves to scrape information from them, and that is a powerful method to extract information.
openaire   +1 more source

Comparing natural language processing (NLP) applications in construction and computer science using preferred reporting items for systematic reviews (PRISMA)

Automation in Construction, 2023
Sehwan Chung, Seonghyeon Moon, Seokho Chi   +2 more
exaly  

Natural Language Processing for Requirements Engineering

ACM Computing Surveys, 2022
Liping Zhao, Waad Alhoshan, Alessio Ferrari   +2 more
exaly  

From semantics to pragmatics: where IS can lead in Natural Language Processing (NLP) research

European Journal of Information Systems, 2021
Manoj A Thomas, Dapeng Liu
exaly  

Natural Language Processing (NLP) in Chatbot Design

The creation and development of chatbots, which are the prevalent manifestations of artificial intelligence (AI) and machine learning (ML) technologies in today's digital world, are built on Natural Language Processing (NLP), which serves as a cornerstone in the process.
Rajesh Kanna Rajendran, Mohana Priya T., Karthick Chitrarasu   +2 more
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Intelligent Virtual Research Environment for Natural Language Processing (IvrE-NLP)

Lecture Notes in Networks and Systems, 2022
Shashi Pal Singh, Ajai Kumar, Singh Shashi Pal   +2 more
exaly  

Natural language processing: state of the art, current trends and challenges

Multimedia Tools and Applications, 2022
Kiran Khatter
exaly  

Natural Language Processing (NLP): An Introduction

2022
Roman Egger, Enes Gokce
openaire   +1 more source