| Iit-tuda at semeval-2016 task 5: Beyond sentiment lexicon: Combining domain dependency and distributional semantics features for aspect based sentiment analysis A Kumar, S Kohail, A Kumar, A Ekbal, C Biemann Proceedings of the 10th international workshop on semantic evaluation …, 2016 | 57 | 2016 |
| Implementation of data mining techniques for meteorological data analysis SN Kohail, AM El-Halees Int. Journal of Information and Communication Technology Res 1 (3), 2011 | 55 | 2011 |
| Using artificial neural network for human age estimation based on facial images SN Kohail 2012 International Conference on Innovations in Information Technology (IIT …, 2012 | 30 | 2012 |
| IIT-TUDA: System for sentiment analysis in indian languages using lexical acquisition A Kumar, S Kohail, A Ekbal, C Biemann International Conference on Mining Intelligence and Knowledge Exploration …, 2015 | 23 | 2015 |
| A new server-side solution for detecting cross site scripting attack TS Barhoom, SN Kohail Int. J. Comput. Inf. Syst 3 (2), 19-23, 2011 | 13 | 2011 |
| Iit-uhh at semeval-2017 task 3: Exploring multiple features for community question answering and implicit dialogue identification T Nandi, C Biemann, SM Yimam, D Gupta, S Kohail, A Ekbal, ... Proceedings of the 11th International Workshop on Semantic Evaluation …, 2017 | 12 | 2017 |
| Matching, re-ranking and scoring: Learning textual similarity by incorporating dependency graph alignment and coverage features S Kohail, C Biemann International Conference on Computational Linguistics and Intelligent Text …, 2017 | 8 | 2017 |
| Unsupervised topic-specific domain dependency graphs for aspect identification in sentiment analysis S Kohail Proceedings of the Student Research Workshop, 16-23, 2015 | 7 | 2015 |
| Learning concept drift using adaptive training set formation strategy NM Hewahi, SN Kohail International Journal of Technology Diffusion (IJTD) 4 (1), 33-55, 2013 | 6 | 2013 |
| STS-UHH at SemEval-2017 Task 1: Scoring semantic textual similarity using supervised and unsupervised ensemble S Kohail, AR Salama, C Biemann Proceedings of the 11th International Workshop on Semantic Evaluation …, 2017 | 5 | 2017 |
| Combining graph-based dependency features with convolutional neural network for answer triggering D Gupta, S Kohail, P Bhattacharyya arXiv preprint arXiv:1808.01650, 2018 | 4 | 2018 |
| Feature selection using multi-objective optimization for aspect based sentiment analysis MS Akhtar, S Kohail, A Kumar, A Ekbal, C Biemann International conference on applications of natural language to information …, 2017 | 3 | 2017 |
| Unsupervised Induction of Domain Dependency Graphs-Extracting, Understanding and Visualizing Domain Knowledge S Kohail Staats-und Universitätsbibliothek Hamburg Carl von Ossietzky, 2019 | | 2019 |
| SEMEVAL 2016-10TH INTERNATIONAL WORKSHOP ON SEMANTIC EVALUATION, PROCEEDINGS P Nakov, F Sebastiani, A Ritter, S Rosenthal, V Stoyanov, M Pontiki, ... INSIGHT 325, 329, 2016 | | 2016 |
| A Comparative Study of Data Clustering Algorithms SN Kohail Journal of Computer Engineering 5 (1), 2014 | | 2014 |
| You're not logged in Log in| log in LT Home, C Biemann, A Panchenko, M Riedl, B Coppola, G Hintz, ... Proceedings of the 8th Workshop on TextGraphs in conjunction with EMNLP 2013, 2013 | | 2013 |
| Learning Concept Drift Using Adaptive Training Set Formation Strategy SNJ Kohail the islamic university, 2011 | | 2011 |
