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Semi-Supervised Approach to Monitoring Clinical Depressive Symptoms in Social Media

Published in ASONAM '17 Proceedings of the 2017 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining 2017, 2017

Recommended citation: 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. https://dl.acm.org/citation.cfm?doid=3110025.3123028

Location Name Extraction from Targeted Text Streams using Gazetteer-based Statistical Language Models

Published in COLING 2018, 2018

Recommended citation: 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. https://www.aclweb.org/anthology/papers/C/C18/C18-1169/

A Practical Incremental Learning Framework For Sparse Entity Extraction

Published in COLING 2018, 2018

Recommended citation: 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. https://www.aclweb.org/anthology/papers/C/C18/C18-1059/

D-record: Disaster Response and Relief Coordination Pipeline

Published in ARIC'18 Proceedings of the 1st ACM SIGSPATIAL Workshop on Advances on Resilient and Intelligent Cities, 2018

Recommended citation: 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 https://dl.acm.org/citation.cfm?id=3284572

A Pipeline for Disaster Response and Relief Coordination

Published in SIGIR'19 Proceedings of the 42nd International ACM SIGIR Conference on Research and Development in Information Retrieval, 2019

Recommended citation: 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. https://dl.acm.org/citation.cfm?id=3331405

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