Emerging Applications of Natural Language Processing: Concepts and New Research

Emerging Applications of Natural Language Processing: Concepts and New Research

Sivaji Bandyopadhyay (Jadavpur University, India), Sudip Kumar Naskar (Dublin City University, Ireland) and Asif Ekbal (Indian Institute of Technology Patna, India)
Release Date: October, 2012|Copyright: © 2013 |Pages: 388
ISBN13: 9781466621695|ISBN10: 1466621699|EISBN13: 9781466621701|DOI: 10.4018/978-1-4666-2169-5

Description

Over the last few years, the area of Natural Language Processing has drastically grown in recognition, not only within the research and development community, but also with industry professionals. As NLP continues to be discussed and researched, certain areas continue to grow and mature. As a result, the need for advanced research and information is in high demand.

Emerging Applications of Natural Language Processing: Concepts and New Research provides pertinent and vital information that researchers, postgraduate, doctoral students, and practitioners are seeking. This book compiles the latest discoveries and advances in NLP methodologies and applications while expanding upon various topics regarding the future of NLP.

Topics Covered

The many academic areas covered in this publication include, but are not limited to:

  • Advanced Question Answering Systems
  • Discourse Semantics
  • Domain Adaptation in Part-of-Speech Tagging
  • Interactive Question Answering
  • Language Generation and Summarization
  • Language Resources
  • Multilingual Information Access
  • Multiword Expressions in NLP
  • Sentiment Analysis
  • Statistical Machine Translation
  • Word Sense Disambiguation

Reviews and Testimonials

For graduate students and budding researchers in natural language processing, computer scientists review current research and practices in computational techniques to automate any kind of human-like processing of natural language content. They cover text analytics, machine translation, advanced question answering systems, multilingual information access, digital content management, and speech processing. Among the topics are word sense disambiguation, domain adaptation in part-of-speech tagging, a computational cognitive model of human translation processes, interactive question answering, mining user-generated content for social research and other applications, and spreadsheeting using modified visual feature vectors.

– Book News Inc. Portland, USA

This book is highly recommended for researchers of NLP as it provides insight about various research issues such as word sense disambiguation, sentiment analysis, multilingualism, and more. The research issues can be applied to future study and development.

– Dr. Rajni Mohana, Jaypee University of Information Technology, India

Table of Contents and List of Contributors

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Author(s)/Editor(s) Biography

Sivaji Bandyopadhyay received the Ph.D. degree in Computer Science and Engineering from Jadavpur University, Kolkata, India in 1998. Since 1991 he has been a faculty member of the Department of Computer Science and Engineering, Jadavpur University. He is engaged with several national and international projects such as “Development of Cross Lingual Information Access (CLIA)”, DIT, Government of India, August 2006 – 2010, “Development of English to Indian Languages Machine Translation Systems (EILMT)”, DIT, Government of India, August 2006– 2010, “Development of Indian Languages to Indian Languages Machine Translation Systems (IL-ILMT)”, DIT, Government of India, August 2006– 2010, "An Advanced Platform for Question Answering Systems", Indo-French Center for the Promotion of Advanced Research (IFCPAR), 2009-2012, "Multidisciplinary Research Field on Sentiment Analysis where AI meets Psychology (SAAIP)", Strategic India-Japan Cooperative Programme-Project in the area of multidisciplinary ICT, DST, Government of India 2010-2013, "Answer Validation through Textual Entailment", CONACYT, Mexico, DST, India, 2010-2012. His research interests are in the area of Natural Language Processing, Machine Learning, Machine Translation, Sentiment Analysis, Question Answering Systems and Information Extraction. He has had more than 100 publications in top conferences and journals and has served as program chair, workshop chair and PC member of IJCNLP, NAACL, NLPKE, ICON and others. Author is a member of the ACL, AAMT.
Sudip Kumar Naskar is a postdoctoral researcher in the Centre for Next Generation Localisation (CNGL), at MT Research Group, National Centre for Language Technology, School of Computing, Dublin City University, Ireland. He obtained his PhD in Computer Science and Engineering from Jadavpur University, India. His research interests are focused around machine translation and word sense disambiguation.
Asif Ekbal is an Assistant Professor at Department of Computer Science and Engineering, Indian Institute of Technology Patna, India. He finished his Ph.D. in Computer Science and Engineering from the Department of Computer Science and Engineering, Jadavpur University, India. Before joining to IIT Patna, he worked as a postdoctoral research fellow in the Department of Information Engineering and Computer Science, University of Trento, Italy and Department of Computational Linguistics, Heidelberg University, Germany. His current research interests include Information Extraction, Machine Learning and bio-informatics.

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