Using convolutional neural networks to classify hate-speech B Gambäck, UK Sikdar Proceedings of the first workshop on abusive language online, 85-90, 2017 | 572 | 2017 |
The CHEMDNER corpus of chemicals and drugs and its annotation principles M Krallinger, O Rabal, F Leitner, M Vazquez, D Salgado, Z Lu, R Leaman, ... Journal of cheminformatics 7 (1), 1-17, 2015 | 300 | 2015 |
MODE: multiobjective differential evolution for feature selection and classifier ensemble UK Sikdar, A Ekbal, S Saha Soft Computing 19, 3529-3549, 2015 | 36 | 2015 |
Differential evolution based feature selection and classifier ensemble for named entity recognition UK Sikdar, A Ekbal, S Saha Proceedings of COLING 2012, 2475-2490, 2012 | 35 | 2012 |
Differential evolution-based feature selection technique for anaphora resolution UK Sikdar, A Ekbal, S Saha, O Uryupina, M Poesio Soft Computing 19, 2149-2161, 2015 | 31 | 2015 |
On active annotation for named entity recognition A Ekbal, S Saha, UK Sikdar International Journal of Machine Learning and Cybernetics 7, 623-640, 2016 | 23 | 2016 |
Biomedical named entity extraction: some issues of corpus compatibilities A Ekbal, S Saha, UK Sikdar SpringerPlus 2, 1-12, 2013 | 20 | 2013 |
Iitp: Hybrid approach for text normalization in twitter MS Akhtar, UK Sikdar, A Ekbal Proceedings of the Workshop on Noisy User-generated Text, 106-110, 2015 | 19 | 2015 |
Named entity recognition and classification in biomedical text using classifier ensemble S Saha, A Ekbal, UK Sikdar International journal of data mining and bioinformatics 11 (4), 365-391, 2015 | 18 | 2015 |
Feature-rich twitter named entity recognition and classification UK Sikdar, B Gambäck Proceedings of the 2nd Workshop on Noisy User-generated Text (WNUT), 164-170, 2016 | 15 | 2016 |
IITP: Multiobjective differential evolution based Twitter named entity recognition MS Akhtar, UK Sikdar, A Ekbal Proceedings of the Workshop on Noisy User-generated Text, 61-67, 2015 | 14 | 2015 |
A feature-based ensemble approach to recognition of emerging and rare named entities UK Sikdar, B Gambäck Proceedings of the 3rd Workshop on Noisy User-generated Text, 177-181, 2017 | 13 | 2017 |
Named Entity Recognition for Amharic Using Stack-Based Deep Learning UK Sikdar, B Gamback International Conference on Intelligent Text Processing and Computational …, 2017 | 12 | 2017 |
Language identification in code-switched text using conditional random fields and babelnet UK Sikdar, B Gambäck Proceedings of the Second Workshop on Computational Approaches to Code …, 2016 | 12 | 2016 |
Adapting a state-of-the-art anaphora resolution system for resource-poor language UK Sikdar, A Ekbal, S Saha, O Uryupina, M Poesio Proceedings of the Sixth International Joint Conference on Natural Language …, 2013 | 12 | 2013 |
A generalized framework for anaphora resolution in Indian languages UK Sikdar, A Ekbal, S Saha Knowledge-Based Systems 109, 147-159, 2016 | 11 | 2016 |
Named Entity Recognition for Amharic Using Deep Learning B Gamback, UK Sikdar IST-Africa, 2017 | 10 | 2017 |
Flytxt_NTNU at SemEval-2018 task 8: Identifying and classifying malware text using conditional random fields and Naive Bayes classifiers UK Sikdar, B Barik, B Gambäck Proceedings of The 12th International Workshop on Semantic Evaluation, 890-893, 2018 | 7 | 2018 |
NTNU-1@ScienceIE at SemEval-2017 Task 10: Identifying and Labelling Keyphrases with Conditional Random Fields E Marsi, U Sikdar, C Marco, B Barik, R Saetre Proceedings of the 11th International Workshop on Semantic Evaluations …, 2017 | 6 | 2017 |
Domain-independent model for chemical compound and drug name recognition UK Sikdar, A Ekbal, S Saha BioCreative Challenge Evaluation Workshop 2, 158, 2013 | 6 | 2013 |