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In low-resource settings, model transfer can help to overcome a lack of labeled data for many tasks and domains. However, predicting useful transfer sources is a challenging problem, as even the most similar sources might lead to unexpected…

Computation and Language · Computer Science 2021-11-01 Lukas Lange , Jannik Strötgen , Heike Adel , Dietrich Klakow

Scientific article recommender systems are playing an increasingly important role for researchers in retrieving scientific articles of interest in the coming era of big scholarly data. Most existing studies have designed unified methods for…

Social and Information Networks · Computer Science 2020-08-12 Feng Xia , Haifeng Liu , Ivan Lee , Longbing Cao

Purpose The purpose of this paper is to explore which structures of academic articles referees would pay more attention to, what specific content referees focus on, and whether the distribution of PRC is related to the citations.…

Computation and Language · Computer Science 2022-09-07 Chenglei Qin , Chengzhi Zhang

The concept of h-index has been proposed to easily assess a researcher's performance with a single two-dimensional number. However, by using only this single number, we lose significant information about the distribution of the number of…

Digital Libraries · Computer Science 2013-09-03 Antonis Sidiropoulos , Dimitrios Katsaros , Yannis Manolopoulos

Two commonly used ideas in the development of citation-based research performance indicators are the idea of normalizing citation counts based on a field classification scheme and the idea of recursive citation weighing (like in…

Digital Libraries · Computer Science 2011-05-18 Ludo Waltman , Erjia Yan , Nees Jan van Eck

Authorship attribution mainly deals with undecided authorship of literary texts. Authorship attribution is useful in resolving issues like uncertain authorship, recognize authorship of unknown texts, spot plagiarism so on. Statistical…

Digital Libraries · Computer Science 2013-10-21 M. Sudheep Elayidom , Chinchu Jose , Anitta Puthussery , Neenu K Sasi

The issue of gender bias in scientific publications has been a topic of ongoing debate. One aspect of this debate concerns whether women receive equal credit for their contributions compared to men. Conventional wisdom suggests that women…

Digital Libraries · Computer Science 2025-08-05 Keigo Kusumegi , Daniel E. Acuña , Yukie Sano

Reproducibility is a key requirement for scientific progress. It allows the reproduction of the works of others, and, as a consequence, to fully trust the reported claims and results. In this work, we argue that, by facilitating…

Information Retrieval · Computer Science 2021-02-02 Alejandro Bellogín , Alan Said

Motivated by the common academic problem of allocating papers to referees for conference reviewing we propose a novel mechanism for solving the assignment problem when we have a two sided matching problem with preferences from one side (the…

Artificial Intelligence · Computer Science 2017-05-22 Jing Wu Lian , Nicholas Mattei , Renee Noble , Toby Walsh

This paper aims to identify whether different weighted PageRank algorithms can be applied to author citation networks to measure the popularity and prestige of a scholar from a citation perspective. Information Retrieval (IR) was selected…

Digital Libraries · Computer Science 2011-02-10 Ying Ding

Reproducibility is an important feature of science; experiments are retested, and analyses are repeated. Trust in the findings increases when consistent results are achieved. Despite the importance of reproducibility, significant work is…

Digital Libraries · Computer Science 2023-01-12 Akhil Pandey Akella , Hamed Alhoori , David Koop

Source code segment authorship identification is the task of identifying the author of a source code segment through supervised learning. It has vast importance in plagiarism detection, digital forensics, and several other law enforcement…

Software Engineering · Computer Science 2022-12-13 Parvez Mahbub , Naz Zarreen Oishie , S M Rafizul Haque

In response to growing concern about the reliability and reproducibility of published science, researchers have proposed adopting measures of greater statistical stringency, including suggestions to require larger sample sizes and to lower…

Methodology · Statistics 2018-07-09 Harlan Campbell , Paul Gustafson

Due to the availability of references of research papers and the rich information contained in papers, various citation analysis approaches have been proposed to identify similar documents for scholar recommendation. Despite of the success…

Information Retrieval · Computer Science 2017-03-21 Han Tian , Hankz Hankui Zhuo

Collaborations are an integral part of scientific research and publishing. In the past, access to large-scale corpora has limited the ways in which questions about collaborations could be investigated. However, with improvements in…

Social and Information Networks · Computer Science 2018-09-13 Lovenoor Aulck , Kishore Vasan , Jevin West

Problems for evaluation and impact of published scientific works and their authors are discussed. The role of citations in this process is pointed out. Different bibliometric indicators are reviewed in this connection and ways for…

Physics and Society · Physics 2014-05-21 Bozhidar Z. Iliev

Bibliometric analysis has firmly conquered its place as an instrument for evaluation and international comparison of performance levels. Consequently, differences in coverage by standard bibliometric databases installed a dichotomy between…

Digital Libraries · Computer Science 2013-07-26 Nadine Rons , Arlette De Bruyn

How can one efficiently share payoffs with collaborators when participating in risky research? First, I show that efficiency can be achieved by allocating payoffs asymmetrically between the researcher who makes a breakthrough ("winner") and…

Theoretical Economics · Economics 2024-04-25 Nicholas Wu

We describe a technique for attributing parts of a written text to a set of unknown authors. Nothing is assumed to be known a priori about the writing styles of potential authors. We use multiple independent clusterings of an input text to…

Computation and Language · Computer Science 2015-03-27 David Fifield , Torbjørn Follan , Emil Lunde

Weighting estimators based on propensity scores are widely used for causal estimation in a variety of contexts, such as observational studies, marginal structural models and interference. They enjoy appealing theoretical properties such as…

Methodology · Statistics 2021-10-06 Linbo Wang , Yuexia Zhang , Thomas S. Richardson , Xiao-Hua Zhou