| Automatic keyphrase extraction from scientific documents using N-gram filtration technique N Kumar, K Srinathan Proceedings of the eighth ACM symposium on Document engineering, 199-208, 2008 | 123 | 2008 |
| A Knowledge Induced Graph-Theoretical Model for Extract and Abstract Single Document Summarization N Kumar, K Srinathan, V Varma Computational Linguistics and Intelligent Text Processing, 408-423, 2013 | 20 | 2013 |
| Using graph based mapping of co-occurring words and closeness centrality score for summarization evaluation N Kumar, K Srinathan, V Varma Computational Linguistics and Intelligent Text Processing: 13th …, 2012 | 16 | 2012 |
| OntoCat: Automatically categorizing knowledge in API Documentation N Kumar, P Devanbu arXiv preprint arXiv:1607.07602, 2016 | 12 | 2016 |
| A graph based automatic plagiarism detection technique to handle artificial word reordering and paraphrasing N Kumar Computational Linguistics and Intelligent Text Processing: 15th …, 2014 | 12 | 2014 |
| A unified system for aggression identification in english code-mixed and uni-lingual texts A Khandelwal, N Kumar Proceedings of the 7th ACM IKDD CoDS and 25th COMAD, 55-64, 2020 | 11 | 2020 |
| Socio demographic determinants of IFA intake during pregnancy among mothers in rural area of Rohtak, Haryana, India K Sangwan, N Kumar, HA Jindal, BB Jintendra, SS Sahoo Int J Basic Appl Med Sci 4, 49-56, 2014 | 10 | 2014 |
| Artificial neural network approach for under frequency load shedding M Kumar, M Sujatha, T Devaraj, N Kumar International Journal of Scientific & Engineering Research 3 (7), 1-7, 2012 | 9 | 2012 |
| A Graph based Unsupervised N-gram Filtration Technique for Automatic Keyphrase Extraction N Kumar, K Srinathan, V Varma Int. J. of Data Mining, Modelling and Management, 2015 | 8 | 2015 |
| Using Wikipedia anchor text and weighted clustering coefficient to enhance the traditional multi-document summarization N Kumar, K Srinathan, V Varma Computational Linguistics and Intelligent Text Processing: 13th …, 2012 | 8 | 2012 |
| Using Unsupervised System with least linguistic features for TAC-AESOP Task N Kumar, K Srinathan, V Varma Text Analysis Conference (TAC 2011), 11, 2011 | 6 | 2011 |
| Exploiting N-Gram Importance And Additional Knowedge Based On Wikipedia For Improvements in Gaac Based Document Clustering N Kumar, VVB Vemula, K Srinathan, V Varma | 5 | 2010 |
| Exploiting N-gram Importance and Wikipedia based Additional Knowledge for Improvements in GAAC based Document Clustering. N Kumar, VVB Vemula, K Srinathan, V Varma KDIR 2010, 182-187, 2010 | 5 | 2010 |
| A new approach for clustering variable length documents N Kumar, K Srinathan 2009 IEEE International Advance Computing Conference, 982-987, 2009 | 5 | 2009 |
| Automatic Quality Assessment of Documents with Application to Essay Grading N Kumar, L Dey MICAI, 216-222, 2013 | 4 | 2013 |
| An Effective Approach for AESOP and Guided Summarization Task. N Kumar, K Srinathan, V Varma TAC, 2010 | 4 | 2010 |
| Smart stacking of deep learning models for granular joint intent-slot extraction for multi-intent SLU N Kumar, BK Baghel IEEE Access 9, 97582-97590, 2021 | 3 | 2021 |
| Towards Intelligent Text Mining: Under Limited Linguistic Resources N Kumar International Institute of Information Technology Hyderabad, 2015 | 3 | 2015 |
| Intent focused semantic parsing and zero-shot learning for out-of-domain detection in spoken language understanding N Kumar, BK Baghel IEEE Access 9, 165786-165794, 2021 | 2 | 2021 |
| Unsupervised Deep Semantic and Logical Analysis for Identification of Solution Posts from Community Answers N Kumar, K Srinathan, V Varma Int. J. of Information and Decision Sciences, 2015 | 2 | 2015 |
Srinathan KAssistant Professor, IIITHVerified email at iiit.ac.in
