[HTML][HTML] IDRISI-RE: A generalizable dataset with benchmarks for location mention recognition on disaster tweets
While utilizing Twitter data for crisis management is of interest to different response
authorities, a critical challenge that hinders the utilization of such data is the scarcity of …
authorities, a critical challenge that hinders the utilization of such data is the scarcity of …
[PDF][PDF] Crisis event social media summarization with GPT-3 and neural reranking
Managing emergency events, such as natural disasters, requires management teams to
have an up-to-date view of what is happening throughout the event. In this paper, we …
have an up-to-date view of what is happening throughout the event. In this paper, we …
CrisisFacts: building and evaluating crisis timelines
R McCreadie, C Buntain - 2023 - eprints.gla.ac.uk
Between 2018 and 2021, the Incident Streams track (TREC-IS) developed standard
approaches for classifying information types and criticality of tweets during crises. While …
approaches for classifying information types and criticality of tweets during crises. While …
Multilingual Serviceability Model for Detecting and Ranking Help Requests on Social Media during Disasters
F Vitiugin, H Purohit - Proceedings of the International AAAI Conference …, 2024 - ojs.aaai.org
Social media users expect quick and high-quality responses from emergency services when
seeking help. However, these organizations face difficulties in detecting and prioritizing …
seeking help. However, these organizations face difficulties in detecting and prioritizing …
DQNC2S: DQN-based Cross-stream Crisis event Summarizer
Summarizing multiple disaster-relevant data streams simultaneously is particularly
challenging as existing Retrieve &Re-ranking strategies suffer from the inherent redundancy …
challenging as existing Retrieve &Re-ranking strategies suffer from the inherent redundancy …
[PDF][PDF] Incident Streams 2021 Off the Deep End: Deeper Annotations and Evaluations in Twitter.
This paper summarizes the final year of the four-year Text REtrieval Conference Incident
Streams track (TREC-IS), which has produced a large dataset comprising 136,263 …
Streams track (TREC-IS), which has produced a large dataset comprising 136,263 …
[PDF][PDF] Using Neural Reranking and GPT-3 for Social Media Disaster Content Summarization.
JA Pereira, R do Nascimento Fidalgo… - TREC, 2022 - trec.nist.gov
Managing emergency events, such as natural disasters, necessitates real-time situational
awareness for management teams. This paper presents a novel approach to obtaining …
awareness for management teams. This paper presents a novel approach to obtaining …
Falschinformationen in den sozialen Medien als Herausforderung für deutsche Sicherheitsbehörden und-organisationen
M Pawelec, L Sievi - … -Das Online-Journal| Criminology-The Online …, 2023 - kriminologie.de
Sicherheitsrelevante Falschinformationen in den sozialen Medien stellen Behörden und
Organisationen mit Sicherheitsaufgaben (BOS) zunehmend vor Herausforderungen. Auf …
Organisationen mit Sicherheitsaufgaben (BOS) zunehmend vor Herausforderungen. Auf …
LOCATION MENTION PREDICTION FROM DISASTER TWEETS
RALI SUWAILEH - 2023 - qspace.qu.edu.qa
While utilizing Twitter data for crisis management is of interest to different response
authorities, a critical challenge that hinders the utilization of such data is the scarcity of …
authorities, a critical challenge that hinders the utilization of such data is the scarcity of …
Extracting Large Scale Spatio-Temporal Descriptions from Social Media
The ability to track large-scale events as they happen is essential for understanding them
and coordinating reactions in an appropriate and timely manner. This is true, for example, in …
and coordinating reactions in an appropriate and timely manner. This is true, for example, in …