You're reading from The Natural Language Processing Workshop

Product typeBook

Published inAug 2020

Reading LevelIntermediate

PublisherPackt

ISBN-139781800208421

Edition1st Edition

Languages

Python

Tools

Jupyter

Concepts

Mobile Application Development

Authors (6):

Rohan Chopra

Aniruddha M. Godbole

Nipun Sadvilkar

Muzaffar Bashir Shah

Sohom Ghosh

Dwight Gunning

View More author details

Recent Developments in Text Generation and Summarization

Alan Turing (for whom the equivalent of the Nobel Prize in Computer Science is named) proposed a test for artificial intelligence in 1950. This test, known as the Turing Test, says that if humans ask questions and cannot distinguish between text responses generated by a machine and a human, then that machine can be deemed to be intelligent.

Text generation using very large models, such as the GPT-2 (with around 1.5 billion parameters) and BERT (Bidirectional Encoder Representation from Transformers) (with around 340 million parameters), can aid in auto-completion tasks. Auto-completion presents unique ethical challenges. While it can offer convenience, it can also reinforce biases in the data. This is accentuated by the fact that most user experience layouts can show only a limited number of options. Furthermore, auto-completion can controversially suggest responses that are different from what the sender originally wants...

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The Natural Language Processing Workshop

Published in: Aug 2020Publisher: PacktISBN-13: 9781800208421

Authors (6)

Rohan Chopra

Rohan Chopra graduated from Vellore Institute of Technology with a bachelors degree in computer science. Rohan has an experience of more than 2 years in designing, implementing, and optimizing end-to-end deep neural network systems. His research is centered around the use of deep learning to solve computer vision-related problems and has hands-on experience working on self-driving cars. He is a data scientist at Absolutdata.
Read more about Rohan Chopra

Aniruddha M. Godbole

Aniruddha M. Godbole is a data science consultant with inter-disciplinary expertise in computer science, applied statistics, and finance. He has a master's degree in data science from Indiana University, USA, and has done MBA in finance from the National Institute of Bank Management, India. He has authored papers in computer science and finance and has been an occasional opinion pages contributor to Mint, which is a leading business newspaper in India. He has fifteen years of experience.
Read more about Aniruddha M. Godbole

Nipun Sadvilkar

Nipun Sadvilkar is a senior data scientist at US healthcare company leading a team of data scientists and subject matter expertise to design and build the clinical NLP engine to revamp medical coding workflows, enhance coder efficiency, and accelerate revenue cycle. He has experience of more than 3 years in building NLP solutions and web-based data science platforms in the area of healthcare, finance, media, and psychology. His interests lie at the intersection of machine learning and software engineering with a fair understanding of the business domain. He is a member of the regional and national python community. He is author of pySBD - an NLP open-source python library for sentence segmentation which is recognized by ExplosionAI (spaCy) and AllenAI (scispaCy) organizations.
Read more about Nipun Sadvilkar

Muzaffar Bashir Shah

Muzaffar Bashir Shah is a software developer with vast experience in machine learning, natural language processing (NLP), text analytics, and data science. He holds a masters degree in computer science from the University of Kashmir and is currently working in a Bangalore based startup named Datoin.
Read more about Muzaffar Bashir Shah

Sohom Ghosh

Sohom Ghosh is a passionate data detective with expertise in natural language processing. He has worked extensively in the data science arena with a specialization in deep learning-based text analytics, NLP, and recommendation systems. He has publications in several international conferences and journals.
Read more about Sohom Ghosh

Dwight Gunning

Dwight Gunning is a data scientist at FINRA, a financial services regulator in the US. He has extensive experience in Python-based machine learning and hands-on experience with the most popular NLP tools such as NLTK, gensim, and spacy.
Read more about Dwight Gunning

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Recent Developments in Text Generation and Summarization

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Authors (6)

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Master Data Science with Python

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