Learning spatial-temporal regularized correlation filters for visual tracking

F Li, C Tian, W Zuo, L Zhang… - Proceedings of the …, 2018 - openaccess.thecvf.com
Abstract Discriminative Correlation Filters (DCF) are efficient in visual tracking but suffer from
unwanted boundary effects. Spatially Regularized DCF (SRDCF) has been suggested to …

A survey of automatic text summarization: Progress, process and challenges

MF Mridha, AA Lima, K Nur, SC Das, M Hasan… - IEEE …, 2021 - ieeexplore.ieee.org
With the evolution of the Internet and multimedia technology, the amount of text data has
increased exponentially. This text volume is a precious source of information and knowledge …

[图书][B] Big crisis data: social media in disasters and time-critical situations

C Castillo - 2016 - books.google.com
Social media is an invaluable source of time-critical information during a crisis. However,
emergency response and humanitarian relief organizations that would like to use this …

[HTML][HTML] A survey on opinion summarization techniques for social media

ME Moussa, EH Mohamed, MH Haggag - Future Computing and …, 2018 - Elsevier
The volume of data on the social media is huge and even keeps increasing. The need for
efficient processing of this extensive information resulted in increasing research interest in …

Temporal information retrieval

N Kanhabua, A Anand - Proceedings of the 39th International ACM …, 2016 - dl.acm.org
The study of temporal dynamics and its impact can be framed within the so-called temporal
IR approaches, which explain how user behavior, document content and scale vary with …

[HTML][HTML] Unsupervised update summarization of news events

F Carichon, F Fettu, G Caporossi - Pattern Recognition, 2023 - Elsevier
A long-running event represents a continuous stream of information on a given topic, such
as natural disasters, stock market updates, or even ongoing customer relationship. These …

On the evaluation of machine-generated reports

J Mayfield, E Yang, D Lawrie, S MacAvaney… - Proceedings of the 47th …, 2024 - dl.acm.org
Large Language Models (LLMs) have enabled new ways to satisfy information needs.
Although great strides have been made in applying them to settings like document ranking …

Interactive query-assisted summarization via deep reinforcement learning

O Shapira, R Pasunuru, M Bansal… - Proceedings of the …, 2022 - aclanthology.org
Interactive summarization is a task that facilitates user-guided exploration of information
within a document set. While one would like to employ state of the art neural models to …

Pdsum: Prototype-driven continuous summarization of evolving multi-document sets stream

S Yoon, HP Chan, J Han - Proceedings of the ACM Web Conference …, 2023 - dl.acm.org
Summarizing text-rich documents has been long studied in the literature, but most of the
existing efforts have been made to summarize a static and predefined multi-document set …

Automatic generation of timelines for past-web events

R Campos, A Pasquali, A Jatowt, V Mangaravite… - The Past Web: Exploring …, 2021 - Springer
Despite significant advances in web archive infrastructures, the problem of exploring the
historical heritage preserved by web archives is yet to be solved. Timeline generation …