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IJNLC 2019 : International Journal on Natural Language Computing

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Link: http://airccse.org/journal/ijnlc/index.html
 
When N/A
Where N/A
Submission Deadline Aug 24, 2019
Notification Due Sep 24, 2019
Final Version Due Sep 30, 2019
Categories    natural language processing   information retrieval   ontology   text mining
 

Call For Papers

International Journal on Natural Language Computing (IJNLC)

Scope and Topics

Natural Language Processing is a programmed approach to analyze text that is based on both a set of theories and a set of technologies. This forum aims to bring together researchers who have designed and build software that will analyze, understand, and generate languages that humans use naturally to address computers.

Topics of interest include but are not limited to, the following

  • Phonology, Morphology
  • Chunking/Shallow Parsing
  • Parsing/Grammatical Formalisms
  • Semantic Processing
  • Lexical Semantics
  • Ontology
  • Linguistic Resources
  • Statistical and Knowledge based methods
  • POS tagging
  • Discourse
  • Paraphrasing/Entailment/Generation
  • Machine Translation
  • Information Retrieval
  • Text Mining
  • Information Extraction
  • Question Answering
  • Dialog Systems
  • Spoken Language Processing
  • Speech Recognition and Synthesis

Paper Submission

Authors are invited to submit papers for this journal through E-mail  ijnlcjournal@airccse.org or through Submission System. Submissions must be original and should not have been published previously or be under consideration for publication while being evaluated for this Journal.

Important Dates

 

Submission Deadline:August 24, 2019
Authors Notification:September 24, 2019
Final Manuscript Due:September 30, 2019
Publication Date:Determined by the Editor-in-Chief

Current Issue


June 2019, Volume 08, Number 03

Sentiment Analysis on Product Features Based on Lexicon Approach Using Natural Language Processing Full Text
YAmeya Yerpude, Akshay Phirke, Ayush Agrawal and Atharva Deshmukh ,Department of Computer Science and Engineering, RCOEM, Nagpur, India

Fake News Detection with Semantic Features and Text MiningFull Text
Pranav Bharadwaj1 and Zongru Shao2, 1South Brunswick High School, USA, 2Spectronn, USA

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