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Related papers: A note concerning Primary Source Knowledge

200 papers

This study provides a conceptual overview of the literature dealing with the process of citing documents (focusing on the literature from the recent decade). It presents theories, which have been proposed for explaining the citation…

Digital Libraries · Computer Science 2018-05-07 Iman Tahamtan , Lutz Bornmann

Current language understanding approaches focus on small documents, such as newswire articles, blog posts, product reviews and discussion forum entries. Understanding and extracting information from large documents like legal briefs,…

Computation and Language · Computer Science 2017-09-05 Muhammad Mahbubur Rahman , Tim Finin

New researchers are usually very curious about the recipe that could accelerate the chances of their paper getting accepted in a reputed forum (journal/conference). In search of such a recipe, we investigate the profile and peer review text…

Digital Libraries · Computer Science 2020-06-15 Rima Hazra , Aryan , Hardik Aggarwal , Matteo Marsili , Animesh Mukherjee

We demonstrate conclusively that there is no "Open Access Advantage" for papers from the Astrophysical Journal. The two to one citation advantage enjoyed by papers deposited in the arXiv e-print server is due entirely to the nature and…

Digital Libraries · Computer Science 2007-09-07 Michael J. Kurtz , Edwin A. Henneken

Reading levels are highly individual and can depend on a text's language, a person's cognitive abilities, or knowledge on a topic. Text simplification is the task of rephrasing a text to better cater to the abilities of a specific target…

Computation and Language · Computer Science 2023-07-10 Björn Engelmann , Fabian Haak , Christin Katharina Kreutz , Narjes Nikzad Khasmakhi , Philipp Schaer

Pseudocode in a scholarly paper provides a concise way to express the algorithms implemented therein. Pseudocode can also be thought of as an intermediary representation that helps bridge the gap between programming languages and natural…

Information Retrieval · Computer Science 2024-06-10 Levent Toksoz , Gang Tan , C. Lee Giles

When analyzing the content of Physics Letter B (PLB) web pages, one goal was to separate articles from particle physics(HEP) and nuclear physics(NP). PLB contains information about the subject area of an article: Astrophysics and Cosmology,…

Digital Libraries · Computer Science 2020-07-21 Hendrik Weerts

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 paper citation network is a traditional social medium for the exchange of ideas and knowledge. In this paper we view citation networks from the perspective of information diffusion. We study the structural features of the information…

Digital Libraries · Computer Science 2009-05-19 Xiaolin Shi , Belle Tseng , Lada A. Adamic

As a research community grows, more and more papers are published each year. As a result there is increasing demand for improved methods for finding relevant papers, automatically understanding the key ideas and recommending potential…

Information Retrieval · Computer Science 2019-01-03 Yi Luan

Double-blind peer review is considered a pillar of academic research because it is perceived to ensure a fair, unbiased, and fact-centered scientific discussion. Yet, experienced researchers can often correctly guess from which research…

Computation and Language · Computer Science 2023-07-04 Leonard Bauersfeld , Angel Romero , Manasi Muglikar , Davide Scaramuzza

In this paper we present a profile-based approach to information filtering by an analysis of the content of text documents. The Wikipedia index database is created and used to automatically generate the user profile from the user document…

Information Retrieval · Computer Science 2008-05-08 A. V. Smirnov , A. A. Krizhanovsky

Faced with over 100M open source projects most empirical investigations select a subset. Most research papers in leading venues investigated filtering projects by some measure of popularity with explicit or implicit arguments that unpopular…

Software Engineering · Computer Science 2024-01-19 Addi Malviya-Thakur , Audris Mockus

In the recent political climate, the topic of news quality has drawn attention both from the public and the academic communities. The growing distrust of traditional news media makes it harder to find a common base of accepted truth. In…

Social and Information Networks · Computer Science 2019-05-14 Junting Ye , Steven Skiena

Providing personalized recommendations that are also accompanied by explanations as to why an item is recommended is a research area of growing importance. At the same time, progress is limited by the availability of open evaluation…

Information Retrieval · Computer Science 2020-09-25 Kristian Gingstad , Øyvind Jekteberg , Krisztian Balog

Systematic literature reviews (SLRs) are one of the most common and useful form of scientific research and publication. Tens of thousands of SLRs are published each year, and this rate is growing across all fields of science. Performing an…

Human-Computer Interaction · Computer Science 2018-03-28 Evgeny Krivosheev , Fabio Casati , Boualem Benatallah

Thousands of complex natural language questions are submitted to community question answering websites on a daily basis, rendering them as one of the most important information sources these days. However, oftentimes submitted questions are…

Information Retrieval · Computer Science 2019-05-21 Jan Trienes , Krisztian Balog

The value of structured scholarly knowledge for research and society at large is well understood, but producing scholarly knowledge (i.e., knowledge traditionally published in articles) in structured form remains a challenge. We propose an…

Digital Libraries · Computer Science 2023-12-06 Muhammad Haris , Sören Auer , Markus Stocker

Successful data-driven science requires complex data engineering pipelines to clean, transform, and alter data in preparation for machine learning, and robust results can only be achieved when each step in the pipeline can be justified, and…

Databases · Computer Science 2024-04-08 Adriane Chapman , Luca Lauro , Paolo Missier , Riccardo Torlone

Many facts are learned through the intermediation of individuals with special access to information, such as law enforcement officers, officials with a security clearance, or experts with specific knowledge. This paper considers whether…

Computer Science and Game Theory · Computer Science 2020-03-13 Bruno Strulovici