{ "paper_id": "2019", "header": { "generated_with": "S2ORC 1.0.0", "date_generated": "2023-01-19T07:30:04.715833Z" }, "title": "", "authors": [], "year": "", "venue": null, "identifiers": {}, "abstract": "Research in Natural Language Processing (NLP) has taken a noticeable leap in the recent years.Tremendous growth of information on the web and its easy access has stimulated a large interest in the field. India with multiple languages and continuous growth of Indian language content on the web makes a fertile ground for NLP research. Moreover, industry is keenly interested in obtaining NLP technology for mass use. The internet search companies are increasingly aware of the large market for processing languages other than English. For example, search capability is needed for content in Indian and other languages. There is also a need for searching content in multiple languages, and making the retrieved documents available in the language of the user. As a result, a strong need is being felt for machine translation to handle this large instantaneous use. Information Extraction, Question Answering Systems and Sentiment Analysis are also showing up as other business opportunities.", "pdf_parse": { "paper_id": "2019", "_pdf_hash": "", "abstract": [ { "text": "Research in Natural Language Processing (NLP) has taken a noticeable leap in the recent years.Tremendous growth of information on the web and its easy access has stimulated a large interest in the field. India with multiple languages and continuous growth of Indian language content on the web makes a fertile ground for NLP research. Moreover, industry is keenly interested in obtaining NLP technology for mass use. The internet search companies are increasingly aware of the large market for processing languages other than English. For example, search capability is needed for content in Indian and other languages. There is also a need for searching content in multiple languages, and making the retrieved documents available in the language of the user. As a result, a strong need is being felt for machine translation to handle this large instantaneous use. Information Extraction, Question Answering Systems and Sentiment Analysis are also showing up as other business opportunities.", "cite_spans": [], "ref_spans": [], "eq_spans": [], "section": "Abstract", "sec_num": null } ], "body_text": [ { "text": "These needs have resulted in two welcome trends. First, there is much wider student interest in getting into NLP at both postgraduate and undergraduate levels. Many students interested in computing technology are getting interested in natural language technology, and those interested in pursuing computing research are joining NLP research. Second, the research community in academic institutions and government funding agencies in India have joined hands to launch consortia projects to develop NLP products. Each consortium project is a multi-institutional endeavour working with a common software framework, common language standards, and common technology engines for all the different languages covered in the consortium. As a result, it has already led to the development of basic tools for multiple languages which are interoperable for machine translation, cross lingual search, handwriting recognition and OCR.", "cite_spans": [], "ref_spans": [], "eq_spans": [], "section": "", "sec_num": null }, { "text": "In this backdrop of increased student interest, greater funding and most importantly, common standards and interoperable tools, there has been a spurt in research in NLP on Indian languages whose effects we have just begun to see. A great number of submissions reflecting good research is a heartening matter. There is an increasing realization to take advantage of features common to Indian languages in machine learning. It is a delight to see that such features are not just specific to Indian languages but to a large number of languages of the world, hitherto ignored. The insights so gained are furthering our linguistic understanding and will help in technology development for hopefully all languages of the world.", "cite_spans": [], "ref_spans": [], "eq_spans": [], "section": "", "sec_num": null }, { "text": "For machine learning and other purposes, linguistically annotated corpora using the common standards have become available for multiple Indian languages. They have been used for the development of basic technologies for several languages. Larger set of corpora are expected to be prepared in the near future.", "cite_spans": [], "ref_spans": [], "eq_spans": [], "section": "", "sec_num": null }, { "text": "This conference proceedings contains papers selected for presentation in technical sessions of ICON-2019 and short communications selected for poster presentation. We are thankful to our excellent team of reviewers from all over the globe who deserve full credit for the hard work of reviewing the high quality submissions with rich technical content. From 88 submissions, 28 papers were selected, 19 for full presentation, 9 for poster presentation, representing a variety of new and interesting developments, covering a wide spectrum of NLP areas and core linguistics. Besides presentations, the conference also hosted 5 tutorials and 1 workshop.", "cite_spans": [], "ref_spans": [], "eq_spans": [], "section": "", "sec_num": null }, { "text": "We are deeply grateful to Jan Haji\u010d from Charles University (Czech Republic), C. V. Jawahar from IIIT Hyderabad (India) and Amba Kulkarni from University of Hyderabad (India) for giving the keynote lectures at ICON. We would also like to thank the members of the Advisory Committee and Programme Committee for their support and cooperation in making ICON 2019 a success. ", "cite_spans": [], "ref_spans": [], "eq_spans": [], "section": "", "sec_num": null } ], "back_matter": [ { "text": "We thank Anil Kumar Singh, Samar Hussain, Co-Chairs, Workshop/ Tutorial for taking the responsibilities of the events. We are thankful to Radhika Mamidi, Anil Kumar Vuppala and Manish Shrivastava for making the organization of the event at the International Institute of Information Technology (IIIT) a success.We convey our thanks to Krishna Sireesha S., P V S Ram Babu, G Srinivas Rao, A Lakshmi Narayana, Praveen, Hostel and Administrative staff, International Institute of Information Technology (IIIT), Hyderabad for their dedicated efforts in successfully handling the ICON Secretariat. We also thank IIIT Hyderabad team of Vineet Chaitanya, Vasudeva Varma, Soma Paul, Radhika Mamidi, Manish Shrivastava, Suryakanth V Gangashetty and Anil Kumar Vuppala. We heartily express our gratitude to Saumitra Yadav, Pruthwik Mishra, Vandan Mujadia, Nirmal Surange, Prashant Kodali and other team members at IIIT Hyderabad for their timely help with sincere dedication to make this conference a success. We also thank all those who came forward to help us in this task.Finally, we thank all the researchers who responded to our call for papers and all the participants of ICON-2019, without whose overwhelming response the conference would not have been a success.", "cite_spans": [], "ref_spans": [], "eq_spans": [], "section": "acknowledgement", "sec_num": null }, { "text": "Pushpak Bhattacharyya Hyderabad Dipti Misra Sharma Rajeev Sangal", "cite_spans": [], "ref_spans": [], "eq_spans": [], "section": "December 2019", "sec_num": null } ], "bib_entries": {}, "ref_entries": { "TABREF1": { "content": "", "num": null, "type_str": "table", "text": "Robust Text Classification using Sub-Word Information in Input Word Representations. Bhanu Prakash Mahanti, Priyank Chhipa, Vivek Sridhar and Vinuthkumar Prasan . . . . . . . . . . . . . . 1 A Deep Ensemble Framework for Fake News Detection and Multi-Class Classification of Short Political Statements Arjun Roy, Kingshuk Basak, Asif Ekbal and Pushpak Bhattacharyya . . . . . . . . . . . . . . . . . . . . . . . . . . 9", "html": null } } } }