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The availability of metadata for scientific documents is pivotal in propelling scientific knowledge forward and for adhering to the FAIR principles (i.e. Findability, Accessibility, Interoperability, and Reusability) of research findings.…

Information Retrieval · Computer Science 2025-01-10 Zeyd Boukhers , Cong Yang

Understanding the dynamic mechanisms that drive the high-impact scientific work (e.g., research papers, patents) is a long-debated research topic and has many important implications, ranging from personal career development and recruitment…

Machine Learning · Computer Science 2015-08-04 Liangyue Li , Hanghang Tong

As the volume of scientific publications grows exponentially, researchers increasingly face difficulties in locating relevant literature. Research Paper Recommender Systems have become vital tools to mitigate this information overload by…

Information Retrieval · Computer Science 2026-01-28 Iratxe Pinedo , Mikel Larrañaga , Ana Arruarte

The rapid evolution of scientific research has been creating a huge volume of publications every year. Among the many quantification measures of scientific impact, citation count stands out for its frequent use in the research community.…

Digital Libraries · Computer Science 2022-04-22 Sha Yuan , Jie Tang , Yu Zhang , Yifan Wang , Tong Xiao

As the amount of linked data published on the web grows, attempts are being made to describe and measure it. However even basic statistics about a graph, such as its size, are difficult to express in a uniform and predictable way. In order…

Databases · Computer Science 2014-10-21 William Waites

We introduce and analyse a simple probabilistic model of article production and citation behavior that explicitly assumes that there is no decline in citability of a given article over time. It makes predictions about the number and age of…

Digital Libraries · Computer Science 2023-05-02 Fatemeh Ghaffari , Mark C. Wilson

As research on machine translation moves to translating text beyond the sentence level, it remains unclear how effective automatic evaluation metrics are at scoring longer translations. In this work, we first propose a method for creating…

Computation and Language · Computer Science 2023-08-29 Daniel Deutsch , Juraj Juraska , Mara Finkelstein , Markus Freitag

In this modern technological era, categorization and ranking of research journals is gaining popularity among researchers and scientists. It plays a significant role for publication of their research findings in a quality journal. Although,…

Digital Libraries · Computer Science 2022-10-07 Rabia Shabbir Ranjha , Arshad Ali , Shahid Yousaf

Many research fields codify their findings in standard formats, often by reporting correlations between quantities of interest. But the space of all testable correlates is far larger than scientific resources can currently address, so the…

Computation and Language · Computer Science 2018-05-18 James P. Bagrow , Daniel Berenberg , Joshua Bongard

One technique to improve the retrieval effectiveness of a search engine is to expand documents with terms that are related or representative of the documents' content.From the perspective of a question answering system, this might comprise…

Information Retrieval · Computer Science 2019-09-26 Rodrigo Nogueira , Wei Yang , Jimmy Lin , Kyunghyun Cho

Modern machine learning relies on datasets to develop and validate research ideas. Given the growth of publicly available data, finding the right dataset to use is increasingly difficult. Any research question imposes explicit and implicit…

Information Retrieval · Computer Science 2023-06-08 Vijay Viswanathan , Luyu Gao , Tongshuang Wu , Pengfei Liu , Graham Neubig

We consider the on-line predictive version of the standard problem of linear regression; the goal is to predict each consecutive response given the corresponding explanatory variables and all the previous observations. We are mainly…

Statistics Theory · Mathematics 2011-11-22 Vladimir Vovk , Ilia Nouretdinov , Alex Gammerman

Finding and selecting the most relevant scientific papers from a large number of papers written in a research community is one of the key challenges for researchers these days. As we know, much information around research interest for…

Information Retrieval · Computer Science 2022-04-22 Aram Karimi , Simon Dobnik

Keyphrases provide a simple way of describing a document, giving the reader some clues about its contents. Keyphrases can be useful in a various applications such as retrieval engines, browsing interfaces, thesaurus construction, text…

Information Retrieval · Computer Science 2010-04-20 Kamal Sarkar , Mita Nasipuri , Suranjan Ghose

Meta-learning, or learning to learn, is the science of systematically observing how different machine learning approaches perform on a wide range of learning tasks, and then learning from this experience, or meta-data, to learn new tasks…

Machine Learning · Computer Science 2018-10-09 Joaquin Vanschoren

Legal judgment prediction is the task of automatically predicting the outcome of a court case, given a text describing the case's facts. Previous work on using neural models for this task has focused on Chinese; only feature-based models…

Computation and Language · Computer Science 2019-06-06 Ilias Chalkidis , Ion Androutsopoulos , Nikolaos Aletras

Scientific publications play a vital role in the career of a researcher. However, some articles become more popular than others among the research community and subsequently drive future research directions. One of the indicative signs of…

Digital Libraries · Computer Science 2021-04-13 Abdul Wahid , Rajesh Sharma , Chandra Sekhara Rao Annavarapu

A key challenge in citation text generation is that the length of generated text often differs from the length of the target, lowering the quality of the generation. While prior works have investigated length-controlled generation, their…

Digital Libraries · Computer Science 2024-07-23 Biswadip Mandal , Xiangci Li , Jessica Ouyang

The annual number of publications at scientific venues, for example, conferences and journals, is growing quickly. Hence, even for researchers it becomes harder and harder to keep track of research topics and their progress. In this task,…

Machine Learning · Computer Science 2021-05-19 Bastian Schäfermeier , Gerd Stumme , Tom Hanika

While conformal predictors reap the benefits of rigorous statistical guarantees on their error frequency, the size of their corresponding prediction sets is critical to their practical utility. Unfortunately, there is currently a lack of…

Machine Learning · Statistics 2024-03-12 Guneet S. Dhillon , George Deligiannidis , Tom Rainforth