Knowledge-enabled Entity Extraction
Al-Olimat, Hussein "Knowledge-enabled Entity Extraction." Electronic Dissertation. Wright State University, 2019. https://etd.ohiolink.edu/
Curriculum Vitae
Education
- Ph.D in Computer Science, Wright State University, 2019
- M.S. in Computer Science, the University of Toledo, 2014
- B.S. in Computer Science, German Jordanian University, 2012
Recent Work experience
- 01/2020 - now: NLP Scientist
- 08/2015 - 12/2019: Graduate Researcher
- Kno.e.sis Center, Wright State University
- Duties included: Leading HazardSEES NSF project.
- 05/2018 - 08/2018: NLP Research Intern
- 3M Health Information Systems
- Duties included: R&D of Active Learning solution for Computer Assisted Medical Coding. Worked as part of the NLP scrum team of the Clinical Discovery Engine.
- 05/2017 - 08/2017: NLP Research Intern
- Maana Inc
- Duties included: R&D of Active-learning-based information extraction inside Maana™.
Publications
Towards Geocoding Spatial Expressions (Vision Paper)
Hussein S. Al-Olimat, Valerie Shalin, Krishnaprasad Thirunarayan, and Joy Prakash Sain. 2019. Towards Geocoding Spatial Expressions (vision paper). In Proceedings of the 27th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems (SIGSPATIAL '19). ACM, New York, NY, USA. DOI: https://doi.org/10.1145/3347146.3359356
A Pipeline for Disaster Response and Relief Coordination
Maneriker, Pranav, Nikhita Vedula, Hussein S. Al-Olimat, Jiayong Liang, Omar El-Khoury, Ethan Kubatko, Desheng Liu et al. A Pipeline for Disaster Response and Relief Coordination. In Proceedings of the 42nd International ACM SIGIR Conference on Research and Development in Information Retrieval, pp. 1337-1340. ACM, 2019.
Machine assisted learning of entities
Elkholy, Alexander Hussam, Balasubramanian Kandaswamy, Steven Matt Gustafson, and Hussein S. Al-Olimat. Machine assisted learning of entities. U.S. Patent Application 10/242,320, filed March 26, 2019.
D-record: Disaster Response and Relief Coordination Pipeline
Shruti Kar, Hussein S. Al-Olimat, Krishnaprasad Thirunarayan, Valerie L. Shalin, Amit Sheth, and Srinivasan Parthasarathy. 2018. D-record: Disaster Response and Relief Coordination Pipeline. In Proceedings of the 1st ACM SIGSPATIAL Workshop on Advances on Resilient and Intelligent Cities (ARIC'18), Bandana Kar, Olufemi A. Omitaomu, Shima Mohebbi, and Guangtao Fu (Eds.). ACM, New York, NY, USA, 13-16. DOI: https://doi.org/10.1145/3284566.3284572
A Practical Incremental Learning Framework For Sparse Entity Extraction
Hussein S. Al-Olimat, Steven Gustafson, Jason Mackay, Krishnaprasad Thirunarayan, and Amit Sheth. 2018. A practical incremental learning framework for sparse entity extraction. In Proceedings of the 27th International Conference on Computational Linguistics (COLING 2018), pages 700–710. Association for Computational Linguistics.
Location Name Extraction from Targeted Text Streams using Gazetteer-based Statistical Language Models
Hussein S. Al-Olimat, Krishnaprasad Thirunarayan, Valerie Shalin, and Amit Sheth. 2018. Location Name Extraction from Targeted Text Streams using Gazetteer-based Statistical Language Models. In Proceedings of the 27th International Conference on Computational Linguistics (COLING 2018), pages 1986–1997. Association for Computational Linguistics.
Feature engineering for twitter-based applications
Wijeratne, Sanjaya, Amit Sheth, Shreyansh Bhatt, Lakshika Balasuriya, Hussein S. Al-Olimat, Manas Gaur, Amir Hossein Yazdavar, and Krishnaprasad Thirunarayan. "Feature engineering for twitter-based applications." Feature Engineering for Machine Learning and Data Analytics (2017): 35.
Semi-Supervised Approach to Monitoring Clinical Depressive Symptoms in Social Media
Amir Hossein Yazdavar, Hussein S. Al-Olimat, Monireh Ebrahimi, Goonmeet Bajaj, Tanvi Banerjee, Krishnaprasad Thirunarayan, Jyotishman Pathak, and Amit Sheth. 2017. Semi-Supervised Approach to Monitoring Clinical Depressive Symptoms in Social Media. In Proceedings of the 2017 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining 2017 (ASONAM '17), Jana Diesner, Elena Ferrari, and Guandong Xu (Eds.). ACM, New York, NY, USA, 1191-1198.
Optimizing cloudlet scheduling and wireless sensor localization using computational intelligence techniques
Al-Olimat, Hussein "Optimizing Cloudlet Scheduling and Wireless Sensor Localization using Computational Intelligence Techniques." Electronic Thesis or Dissertation. University of Toledo, 2014. https://etd.ohiolink.edu/
Talks
Towards Geocoding Spatial Expressions (Vision Paper)
Conference Talk at In Proceedings of the 27th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems (SIGSPATIAL '19), Chicago, IL, USA
A Practical Incremental Learning Framework For Sparse Entity Extraction
Conference Talk at COLING 2018 - the 27th International Conference on Computational Linguistics, Santa Fe, NM, USA
Location Extraction and Georeferencing in Social Media: Challenges, Techniques, and Applications
Conference Tutorial at ISCRAM 2018 - 15th Annual Conference for Information Systems for Crisis Response and Management, Rochester, NY, USA
Geosemantics
Class Lecture at Wright State University, Advanced Semantic Web class., Dayton, OH
Optimizing Cloudlet Scheduling and Wireless Sensor Localization using Computational Intelligence Techniques
Defense Talk at EECS Department, The University of Toledo, Toledo, OH, USA
Service
- Program committee member: ACL, EMNLP, and The Web Conference (previously, WWW).