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We present a novel system providing summaries for Computer Science publications. Through a qualitative user study, we identified the most valuable scenarios for discovery, exploration and understanding of scientific documents. Based on…

The rapid growth of scientific literature has made it difficult for the researchers to quickly learn about the developments in their respective fields. Scientific document summarization addresses this challenge by providing summaries of the…

Computation and Language · Computer Science 2017-06-13 Arman Cohan , Nazli Goharian

The growth rate of the number of scientific publications is constantly increasing, creating important challenges in the identification of valuable research and in various scholarly data management applications, in general. In this context,…

In recent years, assessing the performance of researchers has become a burden due to the extensive volume of the existing research output. As a result, evaluators often end up relying heavily on a selection of performance indicators like…

The rate at which scholarly literature is being produced has been increasing at approximately 3.5 percent per year for decades. This means that during a typical 40 year career the amount of new literature produced each year increases by a…

Information Retrieval · Computer Science 2022-12-21 Michael J. Kurtz , Edwin A. Henneken

The constantly increasing rate at which scientific papers are published makes it difficult for researchers to identify papers that currently impact the research field of their interest. Hence, approaches to effectively identify papers of…

Digital Libraries · Computer Science 2021-04-21 Ilias Kanellos , Thanasis Vergoulis , Dimitris Sacharidis , Theodore Dalamagas , Yannis Vassiliou

From more than half a century ago indexing scientific articles has been studied intensively to provide a more efficient data retrieval and to conserve researchers invaluable time. In the last two decades with the emergence of the World Wide…

Digital Libraries · Computer Science 2014-01-07 Azam Majooni , Mona Masood , Amir Akhavan

Scientific writing involves retrieving, summarizing, and citing relevant papers, which can be time-consuming processes in large and rapidly evolving fields. By making these processes inter-operable, natural language processing (NLP)…

Computation and Language · Computer Science 2023-11-07 Nianlong Gu , Richard H. R. Hahnloser

In the contemporary information era, significantly accelerated by the advent of Large-scale Language Models, the proliferation of scientific literature is reaching unprecedented levels. Researchers urgently require efficient tools for…

Computation and Language · Computer Science 2024-01-18 Feng Jiang , Kuang Wang , Haizhou Li

Literature search is arguably one of the most important phases of the academic and non-academic research. The increase in the number of published papers each year makes manual search inefficient and furthermore insufficient. Hence,…

Information Retrieval · Computer Science 2012-09-27 Onur Küçüktunç , Erik Saule , Kamer Kaya , Ümit V. Çatalyürek

In this era of information technology, abundant information is available on the internet in the form of web pages and documents on any given topic. Finding the most relevant and informative content out of these huge number of documents,…

Computers and Society · Computer Science 2023-12-21 Uswa Ihsan , Humaira Ashraf , NZ Jhanjhi

The availability of a vast array of research papers in any area of study, necessitates the need of automated summarisation systems that can present the key research conducted and their corresponding findings. Scientific paper summarisation…

Computation and Language · Computer Science 2024-07-30 Grishma Sharma , Aditi Paretkar , Deepak Sharma

Abstractive summarization of scientific papers has always been a research focus, yet existing methods face two main challenges. First, most summarization models rely on Encoder-Decoder architectures that treat papers as sequences of words,…

Computation and Language · Computer Science 2025-05-21 Tong Bao , Heng Zhang , Chengzhi Zhang

The rapid acceleration of scientific publishing has created substantial challenges for researchers attempting to discover, contextualize, and interpret relevant literature. Traditional keyword-based search systems provide limited semantic…

Information Retrieval · Computer Science 2025-12-16 Sina Jani , Arman Heidari , Amirmohammad Anvari , Zahra Rahimi

Each claim in a research paper requires all relevant prior knowledge to be discovered, assimilated, and appropriately cited. However, despite the availability of powerful search engines and sophisticated text editing software, discovering…

Information Retrieval · Computer Science 2020-05-12 Onur Gökçe , Jonathan Prada , Nikola I. Nikolov , Nianlong Gu , Richard H. R. Hahnloser

Isolated silos of scientific research and the growing challenge of information overload limit awareness across the literature and hinder innovation. Algorithmic curation and recommendation, which often prioritize relevance, can further…

Digital Libraries · Computer Science 2022-02-01 Jason Portenoy , Marissa Radensky , Jevin West , Eric Horvitz , Daniel Weld , Tom Hope

This paper presents novel prompting techniques to improve the performance of automatic summarization systems for scientific articles. Scientific article summarization is highly challenging due to the length and complexity of these…

Computation and Language · Computer Science 2023-12-18 Aldan Creo , Manuel Lama , Juan C. Vidal

With an exponentially growing number of scientific papers published each year, advanced tools for exploring and discovering publications of interest are becoming indispensable. To empower users beyond a simple keyword search provided e.g.…

Information Retrieval · Computer Science 2017-06-27 Franziska Horn

Quickly moving to a new area of research is painful for researchers due to the vast amount of scientific literature in each field of study. One possible way to overcome this problem is to summarize a scientific topic. In this paper, we…

Information Retrieval · Computer Science 2008-07-11 Vahed Qazvinian , Dragomir R. Radev

The volume of academic paper submissions and publications is growing at an ever increasing rate. While this flood of research promises progress in various fields, the sheer volume of output inherently increases the amount of noise. We…

Information Retrieval · Computer Science 2020-05-22 Marko Stamenovic , Jeibo Luo
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