COMPARATIVE ANALYSIS OF VARIOUS APPROACHES BASED ON NAMED ENTITY RECOGNITION-A SURVEY
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References
D. Gupta, S. Tripathi, A. Ekbal, and P. Bhattacharyya, "A Hybrid Approach for Entity Extraction in Code-Mixed Social Media Data",InProceedings of the Workshop on Shared Task on Code Mix Entity Extraction in Indian Languages in conjunction with Forum of Information Retrieval Evaluation, 2016.
D. Chopra, N. Jahan, and S. Morwal, "Hindi Named Entity Recognition by Aggregating Rule Based Heuristic and Hidden Markov Model", International Journal of Information ,vol. 2, no. 6, pp. 43–52, 2012.
R.Sharnagat, "Named Entity Recognition: A Literature Survey", Center For Indian Language Technology, 2014.
D. Chopra and S. Morwal, "Detection and categorization of named entities in Indian languages using Hidden Markov Model", International Journal of Computational Science and Information Technology, vol. 1, no. 1, pp. 25–32, 2013.
O. Dhariya, S. Malviya, and U. S. Tiwary, "A Hybrid Approach For Hindi-English Machine Translation",IEEE International Conference of Information Networking,Da Nang, Vietnam,pp. 389–394, 2017.
R. K. Chakrawarti and P. Bansal, "Approaches for Improving Hindi to English Machine Translation System",Indian Journal of Science and Technology, vol. 10, no. 16, 2017.
P. Kumar, S. Srivastava, and M. Joshi, "Syntax directed translator for English to Hindi language", In Proceedings of IEEE International Conference on Research in Computational Intelligence and Communication Networks, Kolkata, India, pp. 455–459, 2015.
S. Mathur and V. P. Saxena, "Hybrid appraoch to english-hindi name entity transliteration", In Proceedings of IEEE Students Conference on Electrical, Electronics and Computer Science, Bhopal, India,pp. 1–5, 2014.
V. Singhal and N. Tyagi, "A Hybrid Approach Of English-Hindi Named-Entity Transliteration"International Journal of Advanced Technology in Engineering and Science, vol. 3, pp. 1489–1550, 2015.
D. Chopra and S. Morwal, "Handling Unknown Words In Named Entity Recognition Using Transliteration",International Journal of Advanced Technology in Engineering and Science, vol. 2, pp. 87–93, 2013.
S. Morwal, D. Chopra and G.N. Purohit, "Named Entity Recognition In Natural Languages Using Transliteration",International Journal on Natural Language Computing,vol. 2, no. 3, 2013.
A. Nayan, B. R. K. Rao, P. Singh, S. Sanyal, and R. Sanyal, "Named Entity Recognition for Indian Languages",In Proceedings of theInternational Joint Conference on Natural Language Processing Workshop on Named Entity Recognition for South and South East Asian Languages, Hyderabad, India, pp. 97-104, 2008.
D. Chopra and G.N. Purohit,"Handling Ambiguities and Unknown Words in Named Entity Recognition Using Anaphora Resolution",International Journal on Computational Sciences and Applications, vol. 3, pp. 456–63, 2013.
D. Chopra, N. Joshi, and I. Mathur, "Named Entity Recognition in Hindi Using Hidden Markov Model",IEEE Second International Conference on Computational Intelligence & Communication Technology,Ghaziabad, India, pp. 581-586, 2016.
S. Morwal and D. Chopra, "Identification and Classification of Named Entities in Indian Languages", International Journal on Natural Language Computing,vol. 2, pp. 37–43, 2013.
D. Chopra and S. Morwal, "Named Entity Recognition In English Using Hidden Markov Model", International Journal on Computational Sciences & Applications, vol. 3, no. 1, 2013.
A. Ekbal and S. Bandyopadhyay, "Bengali Named Entity Recognition using Support Vector Machine",In Proceedings of theInternational Joint Conference on Natural Language Processing Workshop on Named Entity Recognition for South and South East Asian Languages, Hyderabad, India,pp. 51-58, 2008.
A. Ekbal, R. Haque, and S. Bandyopadhyay, "Named entity recognition in Bengali: A conditional random field approach", In Proceedings of the Third International Joint Conference on Natural Language Processing, vol. 2, 2008.
S. Amarappa and S. V Sathyanarayana, "A Hybrid approach for Named Entity Recognition, Classification and Extraction (NERCE) in Kannada Documents", in Proceedings of International Conference on Multimedia Processing,Communication and Information Technology, 2013.
S. Srivastava, M. Sanglikar, and D. Kothari, "Named Entity Recognition System for Hindi Language: A Hybrid Approach",International Journal of Computational Linguistics, vol. 2, no. 1, pp. 10–23, 2011.
S. K. Saha and W. Bengal, "A Hybrid Approach for Named Entity Recognition in Indian Languages",In Proceedings of theInternational Joint Conference on Natural Language Processing Workshop on Named Entity Recognition for South and South East Asian Languages,Hyderabad, India, pp. 17-24, 2008.
L. Jimmy and D. Kaur, "Named Entity Recognition in Manipuri : A Hybrid Approach", Language Processing and Knowledge in the Web,Springer,Verlag Berlin Heidelberg, pp. 104-110, 2013.
N. Jahan, S. Morwal, and D. Chopra, "Named Entity Recognition in Indian Languages Using Gazetteer Method and Hidden Markov Model : A Hybrid Approach",International Journal of Computer Science & Engineering Technology, vol. 3, no. 12, pp. 621–628, 2012.
K. S. Bajwa and A. Kaur, "Hybrid Approach for Named Entity Recognition",International Journal of Computer Applications, vol. 118, no. 1, pp. 36–41, 2015.
Y. Kaur and E. R. Kaur, "Named Entity Recognition (NER) System for Hindi Language Using Combination of Rule Based Approach and List Look Up Approach",International Journal of scientific research and management, vol. 3, no. 3, pp. 2300–2307, 2015.
S. Thenmalar, J. Balaji, and T. V. Geetha, "Semi-supervised Bootstrapping approach for Named Entity Recognition",CoRR, abs/1511.06833,2015.
X. Liu, S. Zhang, F. Wei, and M. Zhou, "Recognizing Named Entities in Tweets", In Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics (ACL): Human Language Technologies,Portland, Oregon, vol. 1, pp. 359–367, 2011.
J. Chen, D. Ji, C. L. Tan, and Z. Niu, "Relation extraction using label propagation based semi-supervised learning", In Proceedings of the 21st International Conference on Computational Linguistics and the 44th annual meeting of the Association for Computational Linguistics,Sydney, Australia, pp. 129–136, 2006.
P. Sharma, U. Sharma, and J. Kalita, "Named Entity Recognition in Assamese: A Hybrid Approach", IEEE International Conference on Advances in Computing, Communications and Informatics, Jaipur, India, pp. 2114–2120, 2016.
P. R. K. Rao, C. S. Malarkodi, R. Vijay Sundar Ram, and S. L. Devi, "ESM-IL: Entity Extraction from Social Media Text for Indian Languages @ FIRE 2015 – An Overview", In Forum of Information Retrieval Evaluation, 2015.
A. Mansouri, L. S. Affendey, and A. Mamat, "Named Entity Recognition Approaches and Challenges",International Journal of Advanced Research in Computer and Communication Engineering, vol. 6, no. 2, 2017.
A. Mansouri, L. S. Affendey, and A. Mamat, "Named Entity Recognition Approaches: A Study applied to English and Hindi Language", IEEE International Conference of Circuit, Power and Computing Technologies,Nagercoil, India, pp. 1–4, 2015.