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  Browse All Reviews > Information Systems (H) > Information Interfaces And Presentation (H.5) > User Interfaces (H.5.2) > Natural Language (H.5.2...)  
 
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  1-10 of 22 Reviews about "Natural Language (H.5.2...)": Date Reviewed
  Bayesian analysis in natural language processing (2nd ed.)
Cohen S.,  Morgan&Claypool Publishers, San Rafael, CA, 2019. 344 pp. Type: Book (978-1-681735-26-9)

Morgan & Claypool’s “Synthesis Lectures on Human Language Technologies” series provides grounded theory and practical approaches in an applied research sense. Bayesian analysis in natural language processing is in this...

May 28 2021
  Deep learning approaches to text production
Narayan S., Gardent C.,  Morgan & Claypool, San Rafael, CA, 2020. 199 pp. Type: Book (978-1-681737-60-7)

Curiosity in natural language production (or generation) does not seem to be going away. Newer frameworks and newer approaches, with some of them causing paradigm shifts, are helping the cause. Through this book, Shashi Narayan and Claire Gardent ...

Feb 23 2021
   Natural language processing for social media (2nd ed.)
Farzindar A., Inkpen D., Cohen S.,  Morgan&Claypool Publishers, San Rafael, CA, 2018. 196 pp. Type: Book (978-1-681736-12-9)

As social networks gain widespread popularity, they dominate all other forms of communication, particularly among youth (but of course not only). Perhaps this is because of real-time information and opinion exchange; another reason seems to be a v...

Aug 19 2019
  Computational linguistics and deep learning
Manning C.  Computational Linguistics 41(4): 701-707, 2015. Type: Article

Deep learning (DL) is an emerging concept in the field of artificial intelligence, expanding its scope from machine learning to other areas of computer science. Mainly, DL proliferates its development to natural language processing (NLP), specific...

May 2 2016
  A Hadoop based platform for natural language processing of web pages and documents
Nesi P., Pantaleo G., Sanesi G.  Journal of Visual Languages and Computing 31, Part B, 130-138, 2015. Type: Article

The digital universe is increasing from year to year and will reach 40 zettabytes in 2020. This growth is due to many reasons, including the Internet of Things (IoT) and new users buying smartphones, tablets, and personal computers (PCs). This hug...

Mar 10 2016
  Evaluation of a context-aware voice interface for ambient assisted living: qualitative user study vs. quantitative system evaluation
Vacher M., Caffiau S., Portet F., Meillon B., Roux C., Elias E., Lecouteux B., Chahuara P.  ACM Transactions on Accessible Computing 7(2): 1-36, 2015. Type: Article

Despite the increasing use of mobile technology, in particular smartphones, there are still situations where people in distress may not be able to use such devices. The authors describe a smart home with capabilities intended to assist frail but a...

Jul 23 2015
  Puzzles in logic, languages and computation: the red book
Radev D.,  Springer Publishing Company, Incorporated, New York, NY, 2013. 195 pp. Type: Book (978-3-642343-77-3)

This book presents 56 problems, with solutions, created for high school students competing in a computational linguistics olympiad. “A linguistics olympiad is a puzzle contest ... in which contestants compete to solve self-contained linguist...

Apr 3 2014
  Learning human multimodal dialogue strategies
Rieser V., Lemon O.  Natural Language Engineering 16(1): 3-23, 2010. Type: Article

Although humans can usually maintain a dialog quite effortlessly, managing even domain-specific human-machine dialog is fraught with difficulties. Rieser and Lemon’s paper addresses this issue. It is well known that humans employ information...

Oct 18 2010
  The why UI: using goal networks to improve user interfaces
Smith D., Lieberman H.  IUI 2010 (Proceedings of the 14th International Conference on Intelligent User Interfaces, Hong Kong, China,  Feb 7-10, 2010) 377-380, 2010. Type: Proceedings

A critical factor that decides the success of an application is the user interface. The more user-friendly and intuitive an interface is, the greater the chance that it will be effective, useful, and used. Smith and Lieberman argue that knowing ho...

May 14 2010
  Learning effective and engaging strategies for advice-giving human-machine dialogue
Spitters M., De Boni M., Zavrel J., Bonnema R.  Natural Language Engineering 15(3): 355-378, 2009. Type: Article

Human-machine dialogue is gaining importance as a means to improve natural language interfaces, user interpretations of machine languages, and the usability of computer systems. Due to advancements in technology, human-computer interfaces are dyna...

Dec 28 2009
 
 
 
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