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High accuracy citation extraction and named entity recognition for a heterogeneous corpus of academic papers

Brett Powley, Robert Dale
2007 2007 International Conference on Natural Language Processing and Knowledge Engineering  
Applying our algorithm to previously unseen documents, we demonstrate high F-measure performance of 0.98 for author named entity recognition and 0.97 for citation extraction.  ...  In this paper, we present techniques for high accuracy extraction of citations from academic papers, designed for applicability across a broad range of disciplines and document styles.  ...  ACL Anthology corpus; this validates our evidence-based approach to citation extraction and named entity recognition as being more broadly applicable.  ... 
doi:10.1109/nlpke.2007.4368021 fatcat:ow4u2ugd6ngj3jjp7xuje35mbq

A brief survey of automatic methods for author name disambiguation

Anderson A. Ferreira, Marcos André Gonçalves, Alberto H.F. Laender
2012 SIGMOD record  
Name ambiguity in the context of bibliographic citation records is a hard problem that affects the quality of services and content in digital libraries and similar systems.  ...  Acknowledgments This research is partially funded by InWeb (MCT/CNPq/FAPEMIG grant 573871/2008-6), CAPES, CNPq, and FAPEMIG.  ...  structure-based evidence for disambiguating author names.  ... 
doi:10.1145/2350036.2350040 fatcat:aoze6hty3rdlbaggngpmmp5wee

What You Submit Is Who You Are: A Multimodal Approach for Deanonymizing Scientific Publications

Mathias Payer, Ling Huang, Neil Zhenqiang Gong, Kevin Borgolte, Mario Frank
2015 IEEE Transactions on Information Forensics and Security  
authors with high accuracy.  ...  We evaluate our author identification framework, deAnon, based on a real-world data set of 3,894 papers.  ...  over citation-based author identification.  ... 
doi:10.1109/tifs.2014.2368355 fatcat:ww3fsdukbbahfeqggsqgyze3ru

Learning metadata from the evidence in an on-line citation matching scheme

Isaac G. Councill, Huajing Li, Ziming Zhuang, Sandip Debnath, Levent Bolelli, Wang Chien Lee, Anand Sivasubramaniam, C. Lee Giles
2006 Proceedings of the 6th ACM/IEEE-CS joint conference on Digital libraries - JCDL '06  
This paper outlines a system and algorithms for online citation matching and canonical metadata generation.  ...  A Bayesian framework is employed to build the ideal citation record for a document that carries the added advantages of fusing information from disparate sources and increasing system resilience to erroneous  ...  Documents in CiteSeer enter the system with information extracted by automatic parsing algorithms, and the information is usually restricted to the title, author names, and any other metadata typically  ... 
doi:10.1145/1141753.1141817 dblp:conf/jcdl/CouncillLZDBLSG06 fatcat:lgwgjl7u4bdahkq5gkw5uk376y

Automating data extraction in systematic reviews: a systematic review

Siddhartha R. Jonnalagadda, Pawan Goyal, Mark D. Huffman
2015 Systematic Reviews  
Background Systematic reviews identify, assess, synthesize, and interpret published and unpublished evidence, which improves decision-making for clinicians, patients, policymakers, and other stakeholders  ...  This paper performs a systematic review of published and unpublished methods to automate data extraction for systematic reviews.  ...  Annotators agreed with the identification of an element 85 and 87 % for the evidence-based medicine synopses and PubMed abstracts, respectively.  ... 
doi:10.1186/s13643-015-0066-7 pmid:26073888 pmcid:PMC4514954 fatcat:f5nj5psrffe5vpxgx6vdn327mm

Collecting large-scale publication data at the level of individual researchers: a practical proposal for author name disambiguation

Ciriaco Andrea D'Angelo, Nees Jan van Eck
2020 Scientometrics  
We propose an approach that relies on an external source of information for selecting and validating clusters of publications identified through an unsupervised author name disambiguation method.  ...  The disambiguation of author names is an important and challenging task in bibliometrics.  ...  the authors of the extracted publications for the identification of the subjects of interest.  ... 
doi:10.1007/s11192-020-03410-y fatcat:avvb2ptxgfh4jhg3aktknjdp6u

A Survey of Sentiment Analysis for Journal Citation

G. Parthasarathy, D. C. Tomar
2015 Indian Journal of Science and Technology  
In this paper we recommend different techniques available for high accuracy extraction of citations for academic papers and improve the performance in citation extraction by integration of two techniques  ...  In this paper we address the techniques, approaches and methods of the research which are supportive and marked as the essential field of sentiment analysis of citations in research article.  ...  To find each sentence for an author year token; if it finds such a token, our process is then to extract whether it creates part of a citation and if it does, to obtain the author names that accompany  ... 
doi:10.17485/ijst/2015/v8i35/55134 fatcat:jlw5jx5mpndrnc4z7ky2hxmx2y

A Decade of In-text Citation Analysis based on Natural Language Processing and Machine Learning Techniques: An overview of empirical studies [article]

Sehrish Iqbal, Saeed-Ul Hassan, Naif Radi Aljohani, Salem Alelyani, Raheel Nawaz, Lutz Bornmann
2020 arXiv   pre-print
This has led to technical developments in citation context and content analysis, citation classifications, citation sentiment analysis, citation summarisation, and citation-based recommendation.  ...  Academic, and Dimensions.  ...  Acknowledgment The authors (Salem Alelyani and Saeed-Ul Hassan) are grateful for the financial support received from King Khalid University for this research Under Grant No. R.G.P2/100/41.  ... 
arXiv:2008.13020v1 fatcat:jijpqtyhhrf6nbpmzybtylseka

Biomedical text mining for research rigor and integrity: tasks, challenges, directions

Halil Kilicoglu
2017 Briefings in Bioinformatics  
For example, an article may describe a poorly designed experiment, or the authors may reach conclusions not supported by the evidence presented.  ...  overload and accurate citation/enhanced bibliometrics.  ...  Rindflesch, Olivier Bodenreider and Caroline Zeiss for their comments on earlier drafts of this article.  ... 
doi:10.1093/bib/bbx057 pmid:28633401 fatcat:va4d3u6zzjbpnfptseb23tnv7y

Identification of Potentially Relevant Citeable Articles using Association Rule Mining

Selen Uguroglu, Oznur Tastan, Judith Klein- Seetharaman
2011 Medicinal Chemistry  
Our approach can automatically construct rules for co-citation by automatically extracting co-citation overrepresentations in manuscripts.  ...  Given the emphasis on quantitative means for assessing productivity, including the number of literature citations, efforts are needed to assist authors in the identification of potentially relevant articles  ...  McCain for discussion and Michelle L. Kienholz for critical reading of the manuscript.  ... 
doi:10.4172/2161-0444.1000e101 fatcat:6gdx47uegbahhlh3cr6fntlwt4

Biomedical Text Mining for Research Rigor and Integrity: Tasks, Challenges, Directions [article]

Halil Kilicoglu
2017 bioRxiv   pre-print
For example, an article may describe a poorly designed experiment, or the authors may reach conclusions not supported by the evidence presented.  ...  overload, and accurate citation/enhanced bibliometrics.  ...  Rindflesch, Olivier Bodenreider, and Caroline Zeiss for their comments on earlier drafts of this paper. Funding This work was supported by the intramural research program at the U.S.  ... 
doi:10.1101/108480 fatcat:7thsz7zjozfqbmqmkokqrn4bki

Review of Author Name Disambiguation Techniques for Citation Analysis
인용분석에서의 모호한 저자명 식별을 위한 방법들에 관한 고찰

Hyun-Jung Kim
2012 Journal of the Korean BIBLIA Society for library and Information Science  
In citation analysis, author names are often used as the unit of analysis and some authors are indexed under the same name in bibliographic databases where the citation counts are obtained from.  ...  The study examines various techniques for author name disambiguation in the hope for finding an aid to improve the precision of citation counts in citation analysis, as well as for better results in information  ...  In addition, as Han et al. (2004, 296) Based on the type of evidence for author name disambiguation, they indicated that citation information and web information are main sources for extracting bibliographic  ... 
doi:10.14699/kbiblia.2012.23.3.005 fatcat:vwg6nqzig5a75g2rzueyi2jyky

Citation Prediction Using Diverse Features

Harish S. Bhat, Li-Hsuan Huang, Sebastian Rodriguez, Rick Dale, Evan Heit
2015 2015 IEEE International Conference on Data Mining Workshop (ICDMW)  
Using a large database of nearly 8 million bibliographic entries spanning over 3 million unique authors, we build predictive models to classify a paper based on its citation count.  ...  We then build classifiers for two-and three-class classification problems that correspond to predicting the interval in which a paper's citation count will lie.  ...  [1] built a predictive model for a paper's citation count based on features such as a priori author-based, a priori link-based, and a posteriori information using classification methods.  ... 
doi:10.1109/icdmw.2015.131 dblp:conf/icdm/BhatHRDH15 fatcat:2fluf3cikbag7ivcumssvc3una

Automatic generation of investigator bibliographies for institutional research networking systems

Stephen B. Johnson, Michael E. Bales, Daniel Dine, Suzanne Bakken, Paul J. Albert, Chunhua Weng
2014 Journal of Biomedical Informatics  
Using information about investigators from one of our institutions, we compared ReCiter results to queries based on author name and institution and to citations extracted manually from the Scopus database  ...  Generation of bibliographies using named-based queries will not yield high accuracy. Proprietary databases can perform well but requite manual effort.  ...  As the PubMed database expands to include affiliations for all co-authors, ReCiter will be able to significantly improve the accuracy of clustering and identification.  ... 
doi:10.1016/j.jbi.2014.03.013 pmid:24694772 pmcid:PMC4180817 fatcat:tx7ofbln5bbc3b5epwn5zk4vwm

Beyond Digital Incunabula: Modeling the Next Generation of Digital Libraries [chapter]

Gregory Crane, David Bamman, Lisa Cerrato, Alison Jones, David Mimno, Adrian Packel, David Sculley, Gabriel Weaver
2006 Lecture Notes in Computer Science  
services that go beyond the limiting models of print distribution, based on services and experiments developed for the Greco-Roman collections in the Perseus Digital Library.  ...  This paper describes several incunabular assumptions that impose upon early digital libraries the limitations drawn from print, and argues for a design strategy aimed at providing customization and personalization  ...  high statement/evidence ratios.  ... 
doi:10.1007/11863878_30 fatcat:ey6sw54r6rhbfh3pvqssrr2epy
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