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Sarah Kohail
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2020 – today
- 2025
[j2]Ravi S. Sharma
, Nir Kshetri
, Galal H. Galal-Edeen, Sarah Kohail
:
Special Issue on Transformational Artificial Intelligence in the Middle East and Africa. IT Prof. 27(5): 24-30 (2025)
[c10]Hamad Alzaabi, Saif Alzaabi, Sarah Kohail
:
Multi-swimmer Drowning Detection Using a Custom Annotated Underwater Dataset and Real-Time AI. ICIAP (2) 2025: 574-585
[i3]Usman Naseem, Juan Ren, Saba Anwar, Sarah Kohail, Rudy Alexandro Garrido Veliz, Robert Geislinger, Aisha Jabr, Idris Abdulmumin
, Laiba Qureshi, Aarushi Ajay Borkar, Maryam Ibrahim Mukhtar, Abinew Ali Ayele, Ibrahim Said Ahmad, Adem Chanie Ali
, Martin Semmann, Shamsuddeen Hassan Muhammad, Seid Muhie Yimam:
POLAR: A Benchmark for Multilingual, Multicultural, and Multi-Event Online Polarization. CoRR abs/2505.20624 (2025)- 2024
[c9]Sarah Kohail
, Omar Alfandi
:
Deep Grading: Incorporating Argument Strength into Neural Essay Evaluation. ICETC 2024: 275-279
2010 – 2019
- 2019
[b1]Sarah Kohail:
Unsupervised Induction of Domain Dependency Graphs - Extracting, Understanding and Visualizing Domain Knowledge. University of Hamburg, Germany, 2019- 2018
[c8]Deepak Gupta, Sarah Kohail
, Pushpak Bhattacharyya:
Combining Graph-Based Dependency Features with Convolutional Neural Network for Answer Triggering. CICLing (1) 2018: 3-16
[i2]Deepak Gupta, Sarah Kohail, Pushpak Bhattacharyya:
Combining Graph-based Dependency Features with Convolutional Neural Network for Answer Triggering. CoRR abs/1808.01650 (2018)
[i1]Andrey Kutuzov, Alexander Panchenko, Sarah Kohail, Mohammad Dorgham, Oleksiy Oliynyk, Chris Biemann:
Learning Graph Embeddings from WordNet-based Similarity Measures. CoRR abs/1808.05611 (2018)- 2017
[c7]Sarah Kohail
, Chris Biemann:
Matching, Re-Ranking and Scoring: Learning Textual Similarity by Incorporating Dependency Graph Alignment and Coverage Features. CICLing (1) 2017: 377-390
[c6]Md. Shad Akhtar, Sarah Kohail
, Amit Kumar
, Asif Ekbal, Chris Biemann:
Feature Selection Using Multi-objective Optimization for Aspect Based Sentiment Analysis. NLDB 2017: 15-27
[c5]Titas Nandi, Chris Biemann, Seid Muhie Yimam
, Deepak Gupta, Sarah Kohail, Asif Ekbal, Pushpak Bhattacharyya:
IIT-UHH at SemEval-2017 Task 3: Exploring Multiple Features for Community Question Answering and Implicit Dialogue Identification. SemEval@ACL 2017: 90-97
[c4]Sarah Kohail, Amr Rekaby Salama, Chris Biemann:
STS-UHH at SemEval-2017 Task 1: Scoring Semantic Textual Similarity Using Supervised and Unsupervised Ensemble. SemEval@ACL 2017: 175-179- 2016
[c3]Ayush Kumar, Sarah Kohail
, Amit Kumar
, Asif Ekbal, Chris Biemann:
IIT-TUDA at SemEval-2016 Task 5: Beyond Sentiment Lexicon: Combining Domain Dependency and Distributional Semantics Features for Aspect Based Sentiment Analysis. SemEval@NAACL-HLT 2016: 1129-1135- 2015
[c2]Ayush Kumar, Sarah Kohail
, Asif Ekbal, Chris Biemann:
IIT-TUDA: System for Sentiment Analysis in Indian Languages Using Lexical Acquisition. MIKE 2015: 684-693
[c1]Sarah Kohail:
Unsupervised Topic-Specific Domain Dependency Graphs for Aspect Identification in Sentiment Analysis. RANLP 2015: 16-23- 2013
[j1]Nabil M. Hewahi, Sarah Kohail:
Learning Concept Drift Using Adaptive Training Set Formation Strategy. Int. J. Technol. Diffusion 4(1): 33-55 (2013)
Coauthor Index

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