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Dataminr AI Research

A Review of Human Evaluation for Style Transfer (2021)
From Proceedings of the GEM Workshop. By Eleftheria Briakou, Sweta Agrawal, Ke Zhang, Joel Tetreault and Marine Carpuat

GTN-ED: Event Detection Using Graph Transformer Networks (2021)
From Proceedings of the Fifteenth Workshop on Graph-based Methods for Natural Language Processing. By Sanghamitra Dutta, Liang Ma, Tanay Kumar Saha, Di Lu, Joel Tetreault and Alex Jaimes

XFORMAL: A Benchmark for Multilingual Formality Style Transfer  (2021)
From Proceedings of the 2021 Annual Conference of the North American Chapter of the Association for Computational Linguistics. By Eleftheria Briakou, Di Lu, Ke Zhang and Joel Tetreault

Unsupervised Detection of Sub-events in Large Scale Disasters (2020)
From Proceedings of the AAAI Conference on Artificial Intelligence, vol. 34, no. 01, pp. 354-361. By Chidubem Arachie, Manas Gaur, Sam Anzaroot, William Groves, Ke Zhang and Alex Jaimes

Multimodal Categorization of Crisis Events in Social Media (2020)
From Proceedings of the 2020 Conference on Computer Vision and Pattern Recognition. By Mahdi Abavisani, Liwei Wu, Shengli Hu, Joel Tetreault and Alex Jaimes

Clustering of Social Media Messages for Humanitarian Aid Response during Crisis (2020)
From AI for Social Good, Harvard CRCS Workshop 2020. By Swati Padhee, Tanay Kumar Saha, Joel Tetreault and Alex Jaimes

The ApposCorpus: A New Multilingual, Multi-domain Dataset for Factual Appositive Generation (2020)
From Proceedings of the 28th International Conference on Computational Linguistics. By Yova Kementchedjhieva, Di Lu and Joel Tetreault

Crisis Sub-events on Social Media: A Case Study of Wildfires (2019)
From International Conference on Machine Learning AI for Social Good Workshop. By Shan Jiang, William Groves, Sam Anzaroot and Alex Jaimes