Sarah Kohail
Name: | Sarah Kohail |
Position: | Doctoral Researcher |
Email: | kohail[AT]informatik[DOT]uni-hamburg[DOT]de |
Phone: | +49 40 42883 2418 |
Fax: | +49 40 42883 2345 |
Office: | F-415 |
Address: |
Informatikum Vogt-Kölln-Straße 30 22527 Hamburg |
About Me
Hello my name is Sarah and I'm a doctoral researcher at the LT group, under the supervision of Prof. Chris Biemann. My main research interests are: dependency graphs, semantic similarity, sentiment analysis, concept drift and domain adaptivity.
Publication
- Nandi, T., Biemann, C., Yimam, SM., Gupta, Deepak., Kohail, S., Ekbal, A., Bhattacharyya, Pushpak. (2017): IT-UHH at SemEval-2017 Task 3: Exploring Multiple Features for Community Question Answering and Implicit Dialogue Identification, In Proceedings of the 11th International Workshop on Semantic Evaluation (SemEval 2017), Vancouver, Canada. (selected for best of SemEval session) (pdf)
- Kohail S., Salama, A., Biemann, C. (2017): STS-UHH at SemEval-2017 Task 1: Scoring Semantic Textual Similarity Using Supervised and Unsupervised Ensemble, In Proceedings of the 11th International Workshop on Semantic Evaluation (SemEval 2017), Vancouver, Canada (pdf)
- Akhtar, MS., Kohail S., Kumar, A., Ekbal, A., Biemann, C. (2017): Feature Selection using Multi-objective Optimization for Aspect based Sentiment Analysis (NLDB 2017), Liège, Belgium (pdf)
- Kohail, S. and Biemann, C. (2017): Matching, Re-ranking and Scoring: Learning Textual Similarity by Incorporating Dependency Graph Alignment and Coverage Features (CICLING 2017), Budapest, Hungary (pdf)
- Kumar, A., Kohail, S., Kumar, A., Ekbal, A., Biemann, C. (2016): IIT-TUDA at SemEval-2016 Task 5: Beyond Sentiment Lexicon: Combining Domain Dependency and Distributional Semantics Features for Aspect Based Sentiment Analysis, In Proceedings of the 10th International Workshop on Semantic Evaluation, San Diego, CA, USA. (selected for best of SemEval session) (pdf)
- Kumar, A., Kohail, S., Ekbal, A., Biemann C. (2015): IIT-TUDA: System for Sentiment Analysis in Indian Languages using Lexical Acquisition. In: Third International Conference on Mining Intelligence and Knowledge Exploration (MIKE 2015). Hyderabad, India (pdf)
- Kohail, S. (2015): Unsupervised Topic-Specific Domain Dependency Graphs for Aspect Identification in Sentiment Analysis (RANLP 2015). Hissar, Bulgaria (pdf)
- Kohail, S. (2014): A Comparative Study of Data Clustering Algorithms. Journal of Computer Engineering.
- Kohail, S., Hewahi, N. (2013): Learning Concept Drift Using Adaptive Training Set Formation Strategy. International Journal of Technology Diffusion (IJTD). pp. 33-55. (pdf)
- Kohail, S.,(2011): Learning Concept Drift Using Adaptive Training Set Formation Strategy. Master Thesis (pdf)
- Kohail, S. (2012): Using Artificial Neural Network for Human Age Estimation Based on Facial Images. International Conference on Innovations in Information Technology (IIT), Abu Dhabi, UAE. pp. 215- 219. (pdf)
- Kohail, S. and El-Halees, A.(2011): Implementation of Data Mining Techniques for Meteorological Data Analysis (A case study for Gaza Strip). International Journal of Information and Communication Technology Research. (pdf)