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Related papers: DQNC2S: DQN-based Cross-stream Crisis event Summar…

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Automatic summarization of mass-emergency events plays a critical role in disaster management. The second edition of CrisisFACTS aims to advance disaster summarization based on multi-stream fact-finding with a focus on web sources such as…

Computation and Language · Computer Science 2024-02-15 Philipp Seeberger , Korbinian Riedhammer

The CrisisFACTS Track aims to tackle challenges such as multi-stream fact-finding in the domain of event tracking; participants' systems extract important facts from several disaster-related events while incorporating the temporal order. We…

Computation and Language · Computer Science 2023-02-03 Philipp Seeberger , Korbinian Riedhammer

During natural or man-made disasters, humanitarian response organizations look for useful information to support their decision-making processes. Social media platforms such as Twitter have been considered as a vital source of useful…

Computation and Language · Computer Science 2016-10-06 Dat Tien Nguyen , Shafiq Joty , Muhammad Imran , Hassan Sajjad , Prasenjit Mitra

The huge popularity of social media platforms like Twitter attracts a large fraction of users to share real-time information and short situational messages during disasters. A summary of these tweets is required by the government…

Social and Information Networks · Computer Science 2022-11-22 Piyush Kumar Garg , Roshni Chakraborty , Sourav Kumar Dandapat

Time-critical analysis of social media streams is important for humanitarian organizations for planing rapid response during disasters. The \textit{crisis informatics} research community has developed several techniques and systems for…

Social and Information Networks · Computer Science 2021-04-20 Firoj Alam , Hassan Sajjad , Muhammad Imran , Ferda Ofli

Relevant and timely information collected from social media during crises can be an invaluable resource for emergency management. However, extracting this information remains a challenging task, particularly when dealing with social media…

Information Retrieval · Computer Science 2022-04-22 Fedor Vitiugin , Carlos Castillo

Online social media platforms, such as Twitter, provide valuable information during disaster events. Existing tweet disaster summarization approaches provide a summary of these events to aid government agencies, humanitarian organizations,…

Computation and Language · Computer Science 2024-05-13 Piyush Kumar Garg , Roshni Chakraborty , Sourav Kumar Dandapat

Most existing video summarisation methods are based on either supervised or unsupervised learning. In this paper, we propose a reinforcement learning-based weakly supervised method that exploits easy-to-obtain, video-level category labels…

Computer Vision and Pattern Recognition · Computer Science 2018-09-05 Kaiyang Zhou , Tao Xiang , Andrea Cavallaro

Presentations are critical for communication in all areas of our lives, yet the creation of slide decks is often tedious and time-consuming. There has been limited research aiming to automate the document-to-slides generation process and…

Computation and Language · Computer Science 2021-05-11 Edward Sun , Yufang Hou , Dakuo Wang , Yunfeng Zhang , Nancy X. R. Wang

The use of microblogging platforms such as Twitter during crises has become widespread. More importantly, information disseminated by affected people contains useful information like reports of missing and found people, requests for urgent…

Social and Information Networks · Computer Science 2016-10-06 Koustav Rudra , Siddhartha Banerjee , Niloy Ganguly , Pawan Goyal , Muhammad Imran , Prasenjit Mitra

Social media has increasingly played a key role in emergency response: first responders can use public posts to better react to ongoing crisis events and deploy the necessary resources where they are most needed. Timeline extraction and…

Computation and Language · Computer Science 2022-10-26 Hossein Rajaby Faghihi , Bashar Alhafni , Ke Zhang , Shihao Ran , Joel Tetreault , Alejandro Jaimes

We present a system based on sequential decision making for the online summarization of massive document streams, such as those found on the web. Given an event of interest (e.g. "Boston marathon bombing"), our system is able to filter the…

Computation and Language · Computer Science 2016-05-13 Chris Kedzie , Fernando Diaz , Kathleen McKeown

The role of social media, in particular microblogging platforms such as Twitter, as a conduit for actionable and tactical information during disasters is increasingly acknowledged. However, time-critical analysis of big crisis data on…

Computation and Language · Computer Science 2016-08-16 Dat Tien Nguyen , Kamela Ali Al Mannai , Shafiq Joty , Hassan Sajjad , Muhammad Imran , Prasenjit Mitra

Information retrieval in real-time search presents unique challenges distinct from those encountered in classical web search. These challenges are particularly pronounced due to the rapid change of user search intent, which is influenced by…

Information Retrieval · Computer Science 2023-12-05 Nan Yang , Shusen Zhang , Yannan Zhang , Xiaoling Bai , Hualong Deng , Tianhua Zhou , Jin Ma

Retrieving information from an online search engine, is the first and most important step in many data mining tasks. Most of the search engines currently available on the web, including all social media platforms, are black-boxes (a.k.a…

Information Retrieval · Computer Science 2021-02-23 Aviad Elyashar , Maor Reuben , Rami Puzis

Sample efficiency is a crucial problem in deep reinforcement learning. Recent algorithms, such as REDQ and DroQ, found a way to improve the sample efficiency by increasing the update-to-data (UTD) ratio to 20 gradient update steps on the…

Machine Learning · Computer Science 2024-03-26 Aditya Bhatt , Daniel Palenicek , Boris Belousov , Max Argus , Artemij Amiranashvili , Thomas Brox , Jan Peters

Social media platforms are a rich source of information these days, however, of all the available information, only a small fraction is of users' interest. To help users catch up with the latest topics of their interests from the large…

Information Retrieval · Computer Science 2016-06-24 Cailing Dong , Arvind Agarwal

Disaster summarization approaches provide an overview of the important information posted during disaster events on social media platforms, such as, Twitter. However, the type of information posted significantly varies across disasters…

Computation and Language · Computer Science 2023-05-22 Piyush Kumar Garg , Roshni Chakraborty , Sourav Kumar Dandapat

It is a challenging and complex task to acquire information from different regions of a disaster-affected area in a timely fashion. The extensive spread and reach of social media and networks allow people to share information in real-time.…

Social and Information Networks · Computer Science 2019-08-06 Md. Yasin Kabir , Sanjay Madria

A crucial and time-sensitive task when any disaster occurs is to rescue victims and distribute resources to the right groups and locations. This task is challenging in populated urban areas, due to the huge burst of help requests generated…

Machine Learning · Computer Science 2018-11-14 Long Nguyen , Zhou Yang , Jiazhen Zhu , Jia Li , Fang Jin
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