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IJNLC 2020 : 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 Oct 31, 2020
Notification Due Nov 30, 2020
Final Version Due Dec 8, 2020
Categories    natural language processing   NLP   ontology   text mining
 

Call For Papers

International Journal on Natural Language Computing (IJNLC)

Citations, h-index, i10-index of 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:October 31, 2020
Authors Notification:November 30, 2020
Final Manuscript Due: December 08, 2020
Publication Date:Determined by the Editor-in-Chief

Current Issue


June 2020, Volume 9, Number 3

Driving Product Sales Performance by Analysing Product Prelaunch in A Linguistics Approach   Full Text
Winnie Ng and Vincent Cho, The Hong Kong Polytechnic University, Hong Kong

The Ability of Word Embeddings to Capture Word Similarities   Full Text
Martina Toshevska, Frosina Stojanovska and Jovan Kalajdjieski, Ss. Cyril and Methodius University, Macedonia

Vector Space Modeling based Evaluation of Automatically Generated Text Summaries   Full Text
Alaidine Ben Ayed1 Ismaïl Biskri1, 2 and Jean-Guy Meunier1, 1Université du Québec à Montréal (UQAM), Canada,2Université du Québec à TroisRivières (UQTR), Canada

Editor In Chief


Editorial Board Members

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