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Summarization is a way to represent same information in concise way with equal sense. This can be categorized in two type Abstractive and Extractive type. Our work is focused around Extractive summarization. A generic approach to extractive…

Information Retrieval · Computer Science 2017-05-19 Chandra Shekhar Yadav , Aditi Sharan

This paper addresses automatic summarization of videos in a unified manner. In particular, we propose a framework for multi-faceted summarization for extractive, query base and entity summarization (summarization at the level of entities…

Computer Vision and Pattern Recognition · Computer Science 2019-01-07 Vishal Kaushal , Rishabh Iyer , Khoshrav Doctor , Anurag Sahoo , Pratik Dubal , Suraj Kothawade , Rohan Mahadev , Kunal Dargan , Ganesh Ramakrishnan

Lecture videos are an increasingly important learning resource for higher education. However, the challenge of quickly finding the content of interest in a lecture video is an important limitation of this format. This paper introduces…

Computer Vision and Pattern Recognition · Computer Science 2020-06-05 Mohammad Rajiur Rahman , Jaspal Subhlok , Shishir Shah

Summarization datasets are often assembled either by scraping naturally occurring public-domain summaries -- which are nearly always in difficult-to-work-with technical domains -- or by using approximate heuristics to extract them from…

Computation and Language · Computer Science 2022-05-24 Alex Wang , Richard Yuanzhe Pang , Angelica Chen , Jason Phang , Samuel R. Bowman

The best summary of a long video differs among different people due to its highly subjective nature. Even for the same person, the best summary may change with time or mood. In this paper, we introduce the task of generating customized…

Computer Vision and Pattern Recognition · Computer Science 2018-03-05 Jinsoo Choi , Tae-Hyun Oh , In So Kweon

In this paper, we propose a method for document summarization using auxiliary information. This approach effectively summarizes descriptions related to specific images, tables, and appendices within lengthy texts. Our experiments…

Computation and Language · Computer Science 2024-07-03 Pengpeng Li , Tingmin Li , Jingyuan Wang , Boyuan Wang , Yang Yang

The ubiquitous availability of computing devices and the widespread use of the internet have generated a large amount of data continuously. Therefore, the amount of available information on any given topic is far beyond humans' processing…

Artificial Intelligence · Computer Science 2023-07-11 Samira Ghodratnama

We introduce materiomusic as a generative framework linking the hierarchical structures of matter with the compositional logic of music. Across proteins, spider webs and flame dynamics, vibrational and architectural principles recur as…

Machine Learning · Computer Science 2026-01-06 Markus J. Buehler

Cultural heritage applications and advanced machine learning models are creating a fruitful synergy to provide effective and accessible ways of interacting with artworks. Smart audio-guides, personalized art-related content and gamification…

Computer Vision and Pattern Recognition · Computer Science 2024-08-20 Dario Cioni , Lorenzo Berlincioni , Federico Becattini , Alberto del Bimbo

Several researches in psychology and science of education affirm the impact of learning style on the learning process and encourage its taking into account in the teaching strategies in order to facilitate the task for learners and improve…

Computers and Society · Computer Science 2014-07-24 Ahmed Bouchboua , Rabah Ouremchi , Fayçal Messaoudi , Mohammed El Ghazi

Opinion summarization is the task of automatically creating summaries that reflect subjective information expressed in multiple documents, such as product reviews. While the majority of previous work has focused on the extractive setting,…

Computation and Language · Computer Science 2020-04-21 Arthur Bražinskas , Mirella Lapata , Ivan Titov

AI creation, such as poem or lyrics generation, has attracted increasing attention from both industry and academic communities, with many promising models proposed in the past few years. Existing methods usually estimate the outputs based…

Artificial Intelligence · Computer Science 2024-09-05 Qian Cao , Xu Chen , Ruihua Song , Hao Jiang , Guang Yang , Zhao Cao

Despite the prevalence of pretrained language models in natural language understanding tasks, understanding lengthy text such as document is still challenging due to the data sparseness problem. Inspired by that humans develop their ability…

Computation and Language · Computer Science 2023-12-04 Yueguan Wang , Naoki Yoshinaga

Traditional video summarization methods generate fixed video representations regardless of user interest. Therefore such methods limit users' expectations in content search and exploration scenarios. Multi-modal video summarization is one…

Computer Vision and Pattern Recognition · Computer Science 2021-04-27 Jia-Hong Huang , Luka Murn , Marta Mrak , Marcel Worring

The number of documents available into Internet moves each day up. For this reason, processing this amount of information effectively and expressibly becomes a major concern for companies and scientists. Methods that represent a textual…

Information Retrieval · Computer Science 2017-03-21 Mohamed Morchid , Juan-Manuel Torres-Moreno , Richard Dufour , Javier Ramírez-Rodríguez , Georges Linarès

Ranking and recommendation of multimedia content such as videos is usually realized with respect to the relevance to a user query. However, for lecture videos and MOOCs (Massive Open Online Courses) it is not only required to retrieve…

Multimedia · Computer Science 2020-05-29 Jianwei Shi , Christian Otto , Anett Hoppe , Peter Holtz , Ralph Ewerth

Many educational organizations are employing instructional video in their pedagogy, but there is limited understanding of the possible presentation styles. In practice, the presentation style of video lectures ranges from a direct recording…

Computers and Society · Computer Science 2020-01-01 Konstantinos Chorianopoulos

This vision paper articulates a long-term research agenda for formal methods at the intersection with artificial intelligence, outlining multiple conceptual and technical dimensions and reporting on our ongoing work toward realising this…

Software Engineering · Computer Science 2026-02-04 Arshad Beg , Diarmuid O'Donoghue , Rosemary Monahan

Much work has been done in understanding human creativity and defining measures to evaluate creativity. This is necessary mainly for the reason of having an objective and automatic way of quantifying creative artifacts. In this work, we…

Machine Learning · Computer Science 2017-07-19 Disha Shrivastava , Saneem Ahmed CG , Anirban Laha , Karthik Sankaranarayanan

Narratives are fundamental to our understanding of the world, providing us with a natural structure for knowledge representation over time. Computational narrative extraction is a subfield of artificial intelligence that makes heavy use of…

Computation and Language · Computer Science 2023-03-14 Brian Keith Norambuena , Tanushree Mitra , Chris North