ICON 2017 : 14th International Conference on Natural Language Processing

Added 1 year ago by THE CONFERENCE ALERTS

The fourteenth International Conference on Natural Language Processing (ICON-2017) will be held at Jadavpur University, Kolkata during December 18-21, 2017. The ICON Conference series is a forum for promoting interaction among researchers in the field of Natural Language Processing (NLP) and Computational Linguistics (CL) in India and abroad. The main conference is on December 19-20, 2017. This will be preceded by one day of pre-conference tutorials on December 18, 2017 and one day of post conference workshops on December 21, 2017.

Papers in ICON proceedings will be indexed in ACL Anthology. ACL Anthology is a digital archive of research papers in Computational Linguistics for major international conferences under Association for Computational Linguistics (ACL), which is one of the most well-known associations for NLP and CL. The previous proceedings of ICON 2014, ICON 2015 and ICON 2016 can be found in ACL Anthology.


Papers are invited on substantial, original and unpublished research on all aspects of Natural Language Processing, with a particular focus on South Asian languages and other less resourced languages, issues, and applications relevant to South Asia. Papers on other languages of the world are also invited. The areas of interest include, but are not limited to:

*POS Tagging
*Word Sense Disambiguation
*Machine Translation/Statistical Machine Translation
*Computational or Quantitative Psycholinguistics
*Statistical Methods
*Knowledge-based Methods
*Annotation and Annotated Corpora
*Lexical Resources
*Sentiment Analysis
*Machine Learning in NLP
*NLP-based Recommendation Systems
*Performance Evaluation of NLP Systems
*Information Retrieval
*Information Extraction
*Automatic Text Summarization
*Question Answering
*Natural Language Generation
*Dialog Systems
*Speech Corpora
*Speech Recognition
*Speech Synthesis
*NLP for Language Documentation and Preservation
*NLP for Educational Purposes
*NLP for Digital Humanities

The authors have to submit papers under any of the areas mentioned above and must mark the topic(s) of their paper at the time of submission.


Papers in English, not exceeding 10 pages, should be submitted on the ONLINE PORTAL at ltrc.iiit.ac.in/icon2017. Papers should include an abstract of about 100-200 words. Please see the style file at www.aclweb.org/downloads/acl-ftp/Styfiles/Proceedings/

There are two tracks: one for the main conference and one for the Student Paper Competition. You should select one of these while submitting the paper (not both). For the NLP Tools Contest, paper submission will be through the special website made for this contest (see below).

DOUBLE BLIND REVIEW: Papers in electronic form in the PDF format, anonymous for double blind review, should be submitted. If your paper contains text of languages other than English, please attach relevant fontfiles along with your submission.


Proposals are invited for pre-conferencetutorials/workshops. Tutorials/Workshops can be of half-day or full-dayduration. The proposal should be presented in the form of a 200-word abstract, one page topical outline of the content, description of the proposers and their qualifications relating to the tutorial content.

Workshops on linguistic aspects of South Asian languages are also welcome.

Send tutorial/workshop proposals to the ICON-2017 Secretariat by email [email protected] . For further information, please refer to the Conference URL or contact the ICON-2017 Secretariat.


4.1 Sentiment Analysis for Indian Languages

India is a linguistic area with one of the longest histories of contact, influence, use, teaching and learning of English-in-diaspora in the world (Kachru and Nelson, 2006). Thus, a huge number of Indians active on the internet are able in English communication to some degree. India also enjoys huge diversity in language. Apart from Hindi, it has several regional languages that are the primary tongue of people native to the region. This is to the extent that social media including Facebook, WhatsApp, Twitter etc. contain more than one language, and such phenomena is called code-mixing and code-switching. On the other side, the evolution of sentiments from such social media texts have also created many new opportunities for information access and language technology, but also many new challenges, making it one of the prime present-day research areas.Sentiment analysis in code-mixed data has several real-life applications in opinion mining from social media campaign to feedback analysis.

Linguistic processing of such social media dataset and its sentiment analysis is a difficult task. Till