Fetching the paper…
Reading the bibliography…
Relevant and timely information collected from social media during crises can be an invaluable resource for emergency management.
Comparative study of text summarization methods
Nikita Munot and Sharvari S Govilkar · 2014
Earlier work this paper cites.
Crisislex: A lexicon for collecting and filtering microblogged communications in crises
Alexandra Olteanu, Carlos Castillo, Fernando Diaz, and Sarah Vieweg · 2014
Earlier work this paper cites.
A geographic approach for combining social media and authoritative data towards identifying useful information for disaster management
Joao Porto De Albuquerque, Benjamin Herfort, Alexander Brenning, and Alexander Zipf · 2015
Earlier work this paper cites.
Geographic situational awareness: mining tweets for disaster preparedness, emergency response, impact, and recovery
Qunying Huang and Yu Xiao · 2015
Earlier work this paper cites.
Processing social media messages in mass emergency: A survey
Muhammad Imran, Carlos Castillo, Fernando Diaz, and Sarah Vieweg · 2015
Earlier work this paper cites.
Extracting situational information from microblogs during disaster events: a classification-summarization approach
Koustav Rudra, Subham Ghosh, Niloy Ganguly, Pawan Goyal, and Saptarshi Ghosh · 2015
Earlier work this paper cites.
The case for readability of crisis communications in social media
Irina Temnikova, Sarah Vieweg, and Carlos Castillo · 2015
Earlier work this paper cites.
Big crisis data: social media in disasters and time-critical situations
Carlos Castillo · 2016
Earlier work this paper cites.
Multilingual detection and mapping of emergency and disaster-related tweets
Randy Joy M Ventayen · 2017
Earlier work this paper cites.
Robust classification of crisis-related data on social networks using convolutional neural networks
Dat Tien Nguyen, Kamela Ali Al Mannai, Shafiq Joty, Hassan Sajjad, Muhammad Imran, and Prasenjit Mitra · 2017
Earlier work this paper cites.
Centroid-based text summarization through compositionality of word embeddings
Gaetano Rossiello, Pierpaolo Basile, and Giovanni Semeraro · 2017
Earlier work this paper cites.
spacy 2: Natural language understanding with bloom embeddings, convolutional neural networks and incremental parsing
Matthew Honnibal and Ines Montani · 2017
Earlier work this paper cites.
On the benefit of combining neural, statistical and external features for fake news identification
Gaurav Bhatt, Aman Sharma, Shivam Sharma, Ankush Nagpal, Balasubramanian Raman, and Ankush Mittal · 2017
Earlier work this paper cites.
Cross-lingual classification of crisis data
Prashant Khare, Grégoire Burel, Diana Maynard, and Harith Alani · 2018
Earlier work this paper cites.
Improving language understanding by generative pre-training, 2018
Alec Radford, Karthik Narasimhan, Tim Salimans, and Ilya Sutskever · 2018
Earlier work this paper cites.
Bert: Pre-training of deep bidirectional transformers for language understanding
Jacob Devlin, Ming-Wei Chang, Kenton Lee, and Kristina Toutanova · 2018
Earlier work this paper cites.
Identifying sub-events and summarizing disaster-related information from microblogs
Koustav Rudra, Pawan Goyal, Niloy Ganguly, Prasenjit Mitra, and Muhammad Imran · 2018
Earlier work this paper cites.
Classifying and summarizing information from microblogs during epidemics
Koustav Rudra, Ashish Sharma, Niloy Ganguly, and Muhammad Imran · 2018
Cited alongside, same era.
From situational awareness to actionability: Towards improving the utility of social media data for crisis response
Himanshu Zade, Kushal Shah, Vaibhavi Rangarajan, Priyanka Kshirsagar, Muhammad Imran, and Kate Starbird · 2018
Cited alongside, same era.
Guiding generation for abstractive text summarization based on key information guide network
Chenliang Li, Weiran Xu, Si Li, and Sheng Gao · 2018
Cited alongside, same era.
Extractive summarization with swap-net: Sentences and words from alternating pointer networks
Aishwarya Jadhav and Vaibhav Rajan · 2018
Cited alongside, same era.
Identifying actionable information on social media for emergency dispatch
Jess Kropczynski, Rob Grace, Julien Coche, Shane Halse, Eric Obeysekare, Aurélie Montarnal, Frederick Benaben, and Andrea Tapia · 2018
Cited alongside, same era.
A crowdsourcing approach to evaluate the quality of query-based extractive text summaries
Neslihan Iskender, Aleksandra Gabryszak, Tim Polzehl, Leonhard Hennig, and Sebastian Möller · 2019
Later among the works it cites.
Exploring the limits of transfer learning with a unified text-to-text transformer
Colin Raffel, Noam Shazeer, Adam Roberts, Katherine Lee, Sharan Narang, Michael Matena, Yanqi Zhou, Wei Li, and Peter J Liu · 2020
Later among the works it cites.
Twitter speaks: A case of national disaster situational awareness
Amir Karami, Vishal Shah, Reza Vaezi, and Amit Bansal · 2020
Later among the works it cites.
Use of social media in crisis management: A survey
Anita Saroj and Sukomal Pal · 2020
Later among the works it cites.
Improving the classification of flood tweets with contextual hydrological information in a multimodal neural network
Jens A de Bruijn, Hans de Moel, Albrecht H Weerts, Marleen C de Ruiter, Erkan Basar, Dirk Eilander, and Jeroen CJH Aerts · 2020
Later among the works it cites.
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
Contextual string embeddings for sequence labeling
Alan Akbik, Duncan Blythe, and Roland Vollgraf · 2018
Cited alongside, same era.
Multilingual sentiment analysis on social media disaster data
M. J. Fuadvy and R. Ibrahim · 2019
Cited alongside, same era.
Integrating social media into a pan-european flood awareness system: A multilingual approach
V Lorini, C Castillo, F Dottori, M Kalas, D Nappo, and P Salomon · 2019
Cited alongside, same era.
Comparison of social media in english and russian during emergencies and mass convergence events
F Vitiugin and C Castillo · 2019
Cited alongside, same era.
Massively multilingual sentence embeddings for zero-shot cross-lingual transfer and beyond
Mikel Artetxe and Holger Schwenk · 2019
Cited alongside, same era.
How multilingual is multilingual bert?
Telmo Pires, Eva Schlinger, and Dan Garrette · 2019
Cited alongside, same era.
Summarizing microblogs during emergency events: A comparison of extractive summarization algorithms
Soumi Dutta, Vibhash Chandra, Kanav Mehra, Sujata Ghatak, Asit Kumar Das, and Saptarshi Ghosh · 2019
Cited alongside, same era.
Allen Roush · 2020
Later among the works it cites.
Abstractive text summarization of disaster-related document
Nasik Muhammad Nafi, Avishek Bose, Sarthak Khanal, Doina Caragea, and William H Hsu · 2020
Later among the works it cites.
Stanza: A Python natural language processing toolkit for many human languages
Peng Qi, Yuhao Zhang, Yuhui Zhang, Jason Bolton, and Christopher D. Manning · 2020
Later among the works it cites.
Social media for emergency management: Opportunities and challenges at the intersection of research and practice
Valerio Lorini, Carlos Castillo, Steve Peterson, Paola Rufolo, Hemant Purohit, Diego Pajarito, João Porto de Albuquerque, and Cody Buntain · 2021
Later among the works it cites.
Crisisbert: a robust transformer for crisis classification and contextual crisis embedding
Junhua Liu, Trisha Singhal, Lucienne TM Blessing, Kristin L Wood, and Kwan Hui Lim · 2021
Later among the works it cites.
Combining self-training with deep learning for disaster tweet classification
Hongmin Li, Doina Caragea, and Cornelia Caragea · 2021
Later among the works it cites.
mt6: Multilingual pretrained text-to-text transformer with translation pairs
Zewen Chi, Li Dong, Shuming Ma, Shaohan Huang, Saksham Singhal, Xian-Ling Mao, He-Yan Huang, Xia Song, and Furu Wei · 2021
Later among the works it cites.
News text summarization method based on bart-textrank model
Yisong Chen and Qing Song · 2021
Later among the works it cites.
Automated news summarization using transformers
Anushka Gupta, Diksha Chugh, Rahul Katarya, et al · 2021
Later among the works it cites.
Better fine-tuning with extracted important sentences for abstractive summarization
Ankit Sahu and Sriram G Sanjeevi · 2021
Later among the works it cites.
Emotion detection for spanish by combining laser embeddings, topic information, and offense features
Fedor Vitiugin and Giorgio Barnabo · 2021
Later among the works it cites.