Relevant bibliographies by topics / ANNOTATIONS AND CITATIONS

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  2. Dissertations / Theses
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  5. Conference papers

Academic literature on the topic 'ANNOTATIONS AND CITATIONS'

Author: Grafiati
Published: 4 June 2021
Last updated: 1 February 2022

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Journal articles on the topic "ANNOTATIONS AND CITATIONS"

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Rodriguez-Esteban, Raul. "Semantic persistence of ambiguous biomedical names in the citation network." Bioinformatics 36, no. 7 (December 12, 2019): 2224–28. http://dx.doi.org/10.1093/bioinformatics/btz923.

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Abstract Motivation Name ambiguity has long been a central problem in biomedical text mining. To tackle it, it has been usually assumed that names present only one meaning within a given text. It is not known whether this assumption applies beyond the scope of single documents. Results Using a new method that leverages large numbers of biomedical annotations and normalized citations, this study shows that ambiguous biomedical names mentioned in scientific articles tend to present the same meaning in articles that cite them or that they cite, and, to a lesser extent, two steps away in the citation network. Citations, therefore, can be regarded as semantic connections between articles and the citation network should be considered for tasks such as automatic name disambiguation, entity linking and biomedical database annotation. A simple experiment shows the applicability of these findings to name disambiguation. Availability and implementation The code used for this analysis is available at: https://github.com/raroes/one-sense-per-citation-network.
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JHA, RAHUL, AMJAD-ABU JBARA, VAHED QAZVINIAN, and DRAGOMIR R. RADEV. "NLP-driven citation analysis for scientometrics." Natural Language Engineering 23, no. 1 (January 25, 2016): 93–130. http://dx.doi.org/10.1017/s1351324915000443.

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AbstractThis paper summarizes ongoing research in Natural-Language-Processing-driven citation analysis and describes experiments and motivating examples of how this work can be used to enhance traditional scientometrics analysis that is based on simply treating citations as a ‘vote’ from the citing paper to cited paper. In particular, we describe our dataset for citation polarity and citation purpose, present experimental results on the automatic detection of these indicators, and demonstrate the use of such annotations for studying research dynamics and scientific summarization. We also look at two complementary problems that show up in Natural-Language-Processing-driven citation analysis for a specific target paper. The first problem is extracting citation context, the implicit citation sentences that do not contain explicit anchors to the target paper. The second problem is extracting reference scope, the target relevant segment of a complicated citing sentence that cites multiple papers. We show how these tasks can be helpful in improving sentiment analysis and citation-based summarization.
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McIntosh, John L. "Survivors of Suicide: A Comprehensive Bibliography." OMEGA - Journal of Death and Dying 16, no. 4 (June 1986): 355–70. http://dx.doi.org/10.2190/9njv-l843-xw6d-7mpv.

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A bibliography of the literature on survivors of suicide is presented. Journal articles, books, book chapters, abstracts in proceedings of professional meetings, and pamphlets on the topic of survivor-victims are listed. Brief annotations are provided for some citations.
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De, Soumya, R. Joe Stanley, Beibei Cheng, Sameer Antani, Rodney Long, and George Thoma. "Automated Text Detection and Recognition in Annotated Biomedical Publication Images." International Journal of Healthcare Information Systems and Informatics 9, no. 2 (April 2014): 34–63. http://dx.doi.org/10.4018/ijhisi.2014040103.

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Images in biomedical publications often convey important information related to an article's content. When referenced properly, these images aid in clinical decision support. Annotations such as text labels and symbols, as provided by medical experts, are used to highlight regions of interest within the images. These annotations, if extracted automatically, could be used in conjunction with either the image caption text or the image citations (mentions) in the articles to improve biomedical information retrieval. In the current study, automatic detection and recognition of text labels in biomedical publication images was investigated. This paper presents both image analysis and feature-based approaches to extract and recognize specific regions of interest (text labels) within images in biomedical publications. Experiments were performed on 6515 characters extracted from text labels present in 200 biomedical publication images. These images are part of the data set from ImageCLEF 2010. Automated character recognition experiments were conducted using geometry-, region-, exemplar-, and profile-based correlation features and Fourier descriptors extracted from the characters. Correct recognition as high as 92.67% was obtained with a support vector machine classifier, compared to a 75.90% correct recognition rate with a benchmark Optical Character Recognition technique.
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MacMullen, W. John. "Quantifying literature citations, index terms, and Gene Ontology annotations in the Saccharomyces Genome Database to assess results-set clustering utility." Proceedings of the American Society for Information Science and Technology 43, no. 1 (October 10, 2007): 1–17. http://dx.doi.org/10.1002/meet.14504301191.

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Cheng, Beibei, R. Joe Stanley, Soumya De, Sameer Antani, and George R. Thoma. "Automatic Detection of Arrow Annotation Overlays in Biomedical Images." International Journal of Healthcare Information Systems and Informatics 6, no. 4 (October 2011): 23–41. http://dx.doi.org/10.4018/jhisi.2011100102.

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Images in biomedical articles are often referenced for clinical decision support, educational purposes, and medical research. Authors-marked annotations such as text labels and symbols overlaid on these images are used to highlight regions of interest which are then referenced in the caption text or figure citations in the articles. Detecting and recognizing such symbols is valuable for improving biomedical information retrieval. In this research, image processing and computational intelligence methods are integrated for object segmentation and discrimination and applied to the problem of detecting arrows on these images. Evolving Artificial Neural Networks (EANNs) and Evolving Artificial Neural Network Ensembles (EANNEs) computational intelligence-based algorithms are developed to recognize overlays, specifically arrows, in medical images. For these discrimination techniques, EANNs use particle swarm optimization and genetic algorithm for artificial neural network (ANN) training, and EANNEs utilize the number of ANNs generated in an ensemble and negative correlation learning for neural network training based on averaging and Linear Vector Quantization (LVQ) winner-take-all approaches. Experiments performed on medical images from the imageCLEFmed’08 data set, yielded area under the receiver operating characteristic curve and precision/recall results as high as 0.988 and 0.928/0.973, respectively, using the EANNEs method with the winner-take-all approach.
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Dass, Gaurhari, Manh-Tu Vu, Pan Xu, Enrique Audain, Marc-Phillip Hitz, Björn A. Grüning, Henning Hermjakob, and Yasset Perez-Riverol. "The omics discovery REST interface." Nucleic Acids Research 48, W1 (May 6, 2020): W380—W384. http://dx.doi.org/10.1093/nar/gkaa326.

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Abstract The Omics Discovery Index is an open source platform that can be used to access, discover and disseminate omics datasets. OmicsDI integrates proteomics, genomics, metabolomics, models and transcriptomics datasets. Using an efficient indexing system, OmicsDI integrates different biological entities including genes, transcripts, proteins, metabolites and the corresponding publications from PubMed. In addition, it implements a group of pipelines to estimate the impact of each dataset by tracing the number of citations, reanalysis and biological entities reported by each dataset. Here, we present the OmicsDI REST interface (www.omicsdi.org/ws/) to enable programmatic access to any dataset in OmicsDI or all the datasets for a specific provider (database). Clients can perform queries on the API using different metadata information such as sample details (species, tissues, etc), instrumentation (mass spectrometer, sequencer), keywords and other provided annotations. In addition, we present two different libraries in R and Python to facilitate the development of tools that can programmatically interact with the OmicsDI REST interface.
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Segal, Lester A. "Azariah de' Rossi. The Light of the Eyes. Translated with introduction and annotations by Joanna Weinberg. Yale Judaica Series. New Haven: Yale University Press, 2001. xlix, 802 pp." AJS Review 29, no. 1 (April 2005): 200–203. http://dx.doi.org/10.1017/s0364009405430093.

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The central dimension of Azariah de' Rossi's complex and diverse treatise, Meءor עeinayim, is undoubtedly what Joanna Weinberg describes as “his real contribution to critical scholarship” (p. xxix), and this is especially evident in his innovative chapters on Philo, rabbinic aggadah and Jewish chronology. De' Rossi's studies are compounded by ponderous Hebrew prose replete with citations, proof-texts, references, and allusions. Nevertheless, Weinberg skillfully makes this classic manageable in English. Her abundant notes clarify the classical Jewish texts he addressed and the innumerable Jewish and non-Jewish sources from antiquity to the sixteenth century integral to his scholarly endeavor. The translation is also complemented by a comprehensive index of sources.
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Segal, Lester A. "Azariah de' Rossi. The Light of the Eyes. Translated with introduction and annotations by Joanna Weinberg. Yale Judaica Series. New Haven: Yale University Press, 2001. xlix, 802 pp." AJS Review 29, no. 1 (April 2005): 200–203. http://dx.doi.org/10.1017/s036400940544009x.

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The central dimension of Azariah de' Rossi's complex and diverse treatise, Meءor עeinayim, is undoubtedly what Joanna Weinberg describes as “his real contribution to critical scholarship” (p. xxix), and this is especially evident in his innovative chapters on Philo, rabbinic aggadah and Jewish chronology. De' Rossi's studies are compounded by ponderous Hebrew prose replete with citations, proof-texts, references, and allusions. Nevertheless, Weinberg skillfully makes this classic manageable in English. Her abundant notes clarify the classical Jewish texts he addressed and the innumerable Jewish and non-Jewish sources from antiquity to the sixteenth century integral to his scholarly endeavor. The translation is also complemented by a comprehensive index of sources.
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Cooling, Michael T., and Peter Hunter. "The CellML Metadata Framework 2.0 Specification." Journal of Integrative Bioinformatics 12, no. 2 (June 1, 2015): 86–103. http://dx.doi.org/10.1515/jib-2015-260.

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Summary The CellML Metadata Framework 2.0 is a modular framework that describes how semantic annotations should be made about mathematical models encoded in the CellML (www.cellml.org) format, and their elements. In addition to the Core specification, there are several satellite specifications, each designed to cater for model annotation in a different context. Basic Model Information, Citation, License and Biological Annotation specifications are presented.
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Dissertations / Theses on the topic "ANNOTATIONS AND CITATIONS"

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Alrahabi, Al Moatasem. "Excom‑2 : plateforme d’annotation automatique de catégories sémantiques : conception, modélisation et réalisation informatique : applications à la catégorisation des citations en arabe et en français." Thesis, Paris 4, 2010. http://www.theses.fr/2010PA040005.

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Nous proposons une plateforme d’annotation sémantique, appelée « EXCOM-2 ». Basée sur la méthode de l’ « Exploration Contextuelle », elle permet, à travers une diversité de langues, de procéder à des annotations automatiques de segments textuels par l'analyse des formes de surface dans leur contexte. Les textes sont traités selon des « points de vue » discursifs dont les valeurs sont organisées dans une « carte sémantique ». L’annotation se base sur un ensemble de règles linguistiques, écrites par un analyste, qui permettent d’identifier les représentations textuelles sous-jacentes aux différentes catégories de la carte. Le système offre, à travers deux types d’interfaces (développeur ou utilisateur), une chaîne de traitements automatiques de textes qui comprend la segmentation, l’annotation et d’autres fonctionnalités de post-traitement. Les documents annotés peuvent être utilisés, par exemple, pour des systèmes de recherche d’information, de veille, de classification ou de résumé automatique. Comme exemple d'application, nous proposons un système d'identification et de catégorisation automatiques du discours rapporté en arabe et en français
We propose a platform for semantic annotation, called “EXCOM-2”. Based on the “Contextual Exploration” method, it enables, across a great range of languages, to perform automatic annotations of textual segments by analyzing surface forms in their context. Texts are approached through discursive “points of view”, of which values are organized into a “semantic map”. The annotation is based on a set of linguistic rules, manually constructed by an analyst, and that enables to automatically identify the textual representations underlying the different semantic categories of the map. The system provides through two sorts of user-friendly interfaces (analyst or end-user) a complete pipeline of automatic text processing which consists of segmentation, annotation and other post-processing functionalities. Annotated documents can be used, for instance, for information retrieval systems, classification or automatic summarization. As example, we propose an analysis of the linguistic markers of the enunciative modalities in direct reported speech, in a multilingual framework concerning Arabic and French
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Abrouk, Lylia. "Annotation de documents par le contexte de citation basée sur une ontologie." Phd thesis, Université Montpellier II - Sciences et Techniques du Languedoc, 2006. http://tel.archives-ouvertes.fr/tel-00142568.

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Cette thèse présente une approche et des outils pour l'annotation de documents en se basant sur des ontologies. Dans notre contexte, ceci se traduit par des documents annotés par un ensemble de concepts clés issus de l'ontologie du domaine. Nous traitons le problème de l'annotation en développant une approche basée sur la relation de citation. Cette relation constitue la base d'une méthode pour affiner la propagation des annotations entre les documents. L'approche est indépendante du contenu et utilise un regroupement thématique des références construit à partir d'une classification floue non-supervisée. L'annotation étant basée sur l'utilisation d'ontologies, nous avons également abordé le problème de l'enrichissement de l'ontologie afin de pouvoir prendre en compte les différentes évolutions des documents et affiner la phase d'annotation. Un outil, nommé RAS, Reference Annotation System, a été développé et des expérimentations ont été réalisées en utilisant la base Citeseer.
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Radoulov, Radoslav. "Exploring Automatic Citation Classification." Thesis, 2008. http://hdl.handle.net/10012/3712.

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Currently, citation indexes used by digital libraries are very limited. They only provide raw citation counts and link scientific articles through their citations. There are more than one type of citations, but citation indexes treat all citations equally. One way to improve citation indexes is to determine the types of citations in scientific articles (background, support, perfunctory reference, etc.) This will enable researchers to query citation indexes more efficiently by locating articles grouped by citation types. For example, it can enable a researcher to locate all background material needed to understand a specific article by locating all "background" citations. Many classification schemes currently exist. However, manual annotation of all existing digital documents is infeasible because of the sheer magnitude of the digital content, which brings about the need for automating the annotating process, but not much research has been done in the area. One of the reasons preventing researchers from researching automated citation classification is the lack on annotated corpora that they can use. This thesis explores automated citation classification. We make several contributions to the field of citation classification. We present a new citation scheme that is easier to work with than most. Also, we present a document acquisition and citation annotation tool that helps with the development of annotated citation corpora. And finally, we present some experiments with automating citation classification.
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Books on the topic "ANNOTATIONS AND CITATIONS"

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Canada. Canada statute annotations: R.S.C. 1985. Edited by Bunn Michael G. H and Canada Law Book Limited. Aurora, Ont: Canada Law Book, 1991.

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Canada. Tremeear's 1971-1986 criminal annotations. Toronto: Carswell, 1986.

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Kaur, Mukhtiar. Citation style for legal works. 2nd ed. Kuala Lumpur: Tan Sri Professor Ahmad Ibrahim Law Library, 2006.

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Fong, Colin. Popular Australian and English case names. Sydney: Australian Law Librarians' Group, New South Wales Branch, 1994.

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Rannells, Jackson. The constitution and organic laws cited in Papua New Guinea judgments, 1975-early 1991. [Port Moresby]: University of Papua New Guinea, 1991.

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Cortés, Antonio L. Palau citations: A research map to precedent, and constitutional and statutory interpretation, in the opinions of the Supreme Court of the Republic of Palau. 2nd ed. Agaña, Guam: A.L. Cortés, 1998.

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Rannells, Jackson. Papua New Guinea statutes citator: Statutes and statutory instruments cited in the Papua New Guinea law reports, 1988-89 to 1992. [University, NCD, Papua New Guinea: Michael Somare Library, University of Papua New Guinea, 1994.

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Rannells, Eve. A citator to the statutes and statutory instruments cited in the Papua New Guinea law reports, 1983-1988. University, NCD, Papua New Guinea: M. Somare Library, 1990.

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Walo, Miriam. Supplement to Papua New Guinea judgment citator: National Court and Supreme Court judgments, June 1989-October 1994, and Papua New Guinea law reports, volumes 1987 to 1993. [University, NCD, Papua New Guinea]: M. Somare Library, University of Papua New Guinea, 1994.

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Rannells, Jackson. Papua New Guinea Constitution and organic laws citator, 1991-mid 1994: Supplement to The constitution and organic laws cited in Papua New Guinea judgments, 1975-early 1991. [University, NCD, Papua New Guinea: University of Papua New Guinea, 1994.

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Book chapters on the topic "ANNOTATIONS AND CITATIONS"

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Ciancarini, Paolo, Angelo Di Iorio, Andrea Giovanni Nuzzolese, Silvio Peroni, and Fabio Vitali. "Semantic Annotation of Scholarly Documents and Citations." In AI*IA 2013: Advances in Artificial Intelligence, 336–47. Cham: Springer International Publishing, 2013. http://dx.doi.org/10.1007/978-3-319-03524-6_29.

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Abrouk, Lylia, and Abdelkader Gouaïch. "Automatic Annotation Using Citation Links and Co-citation Measure: Application to the Water Information System." In The Semantic Web – ASWC 2006, 44–57. Berlin, Heidelberg: Springer Berlin Heidelberg, 2006. http://dx.doi.org/10.1007/11836025_5.

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Griffin, Thomas D., Stephen K. Boyer, and Isaac G. Councill. "Annotating Patents with Medline MeSH Codes via Citation Mapping." In Advances in Experimental Medicine and Biology, 737–44. New York, NY: Springer New York, 2010. http://dx.doi.org/10.1007/978-1-4419-5913-3_82.

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Romanello, Matteo. "Creating an Annotated Corpus for Extracting Canonical Citations from Classics-Related Texts by Using Active Annotation." In Computational Linguistics and Intelligent Text Processing, 60–76. Berlin, Heidelberg: Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-37247-6_6.

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De, Soumya, R. Joe Stanley, Beibei Cheng, Sameer Antani, Rodney Long, and George Thoma. "Automated Text Detection and Recognition in Annotated Biomedical Publication Images." In Medical Imaging, 457–89. IGI Global, 2017. http://dx.doi.org/10.4018/978-1-5225-0571-6.ch018.

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Images in biomedical publications often convey important information related to an article's content. When referenced properly, these images aid in clinical decision support. Annotations such as text labels and symbols, as provided by medical experts, are used to highlight regions of interest within the images. These annotations, if extracted automatically, could be used in conjunction with either the image caption text or the image citations (mentions) in the articles to improve biomedical information retrieval. In the current study, automatic detection and recognition of text labels in biomedical publication images was investigated. This paper presents both image analysis and feature-based approaches to extract and recognize specific regions of interest (text labels) within images in biomedical publications. Experiments were performed on 6515 characters extracted from text labels present in 200 biomedical publication images. These images are part of the data set from ImageCLEF 2010. Automated character recognition experiments were conducted using geometry-, region-, exemplar-, and profile-based correlation features and Fourier descriptors extracted from the characters. Correct recognition as high as 92.67% was obtained with a support vector machine classifier, compared to a 75.90% correct recognition rate with a benchmark Optical Character Recognition technique.
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Cheng, Beibei, R. Joe Stanley, Soumya De, Sameer Antani, and George R. Thoma. "Automatic Detection of Arrow Annotation Overlays in Biomedical Images." In Healthcare Information Technology Innovation and Sustainability, 219–36. IGI Global, 2013. http://dx.doi.org/10.4018/978-1-4666-2797-0.ch014.

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Images in biomedical articles are often referenced for clinical decision support, educational purposes, and medical research. Authors-marked annotations such as text labels and symbols overlaid on these images are used to highlight regions of interest which are then referenced in the caption text or figure citations in the articles. Detecting and recognizing such symbols is valuable for improving biomedical information retrieval. In this research, image processing and computational intelligence methods are integrated for object segmentation and discrimination and applied to the problem of detecting arrows on these images. Evolving Artificial Neural Networks (EANNs) and Evolving Artificial Neural Network Ensembles (EANNEs) computational intelligence-based algorithms are developed to recognize overlays, specifically arrows, in medical images. For these discrimination techniques, EANNs use particle swarm optimization and genetic algorithm for artificial neural network (ANN) training, and EANNEs utilize the number of ANNs generated in an ensemble and negative correlation learning for neural network training based on averaging and Linear Vector Quantization (LVQ) winner-take-all approaches. Experiments performed on medical images from the imageCLEFmed’08 data set, yielded area under the receiver operating characteristic curve and precision/recall results as high as 0.988 and 0.928/0.973, respectively, using the EANNEs method with the winner-take-all approach.
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"Citation and Annotation." In Passionate Being. I.B.Tauris, 2010. http://dx.doi.org/10.5040/9780755697793.0005.

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"3 INTRODUCTION 3.1 The legacy of Johannes Bobrowski 3.2 The manuscript, use of the Gothic script, alphabetical sequence, sources and content of the OP vocabulary 3.3 The relationship between Bobrowski's OP Vocabulary and his Lithuanian and OP themes 3.4 History of the Old Prussians 3.5 Culture and social status of the Old Prussians 3.6 Language and literary sources of the Old Prussians3.6.1 The so-called Elbing dictionary (E) 3.6.1.1 History of the E glossary 3.6.1.2 Editions of E (and other OP glossaries) 3.6.1.3 The content of E in Bobrowski's PV 3.6.1.4 Place of writing and the dialect of the Elbing Vocabulary 3.6.2 Simon Grunau's Prussian Vocabulary 3.6.3 The Catechisms 3.6.4 Disparate lexical items 4 METHODOLOGY FOR THE ANALYSIS OF PV 4.1 Method of annotation 5. LITHUANIAN AND OLD PRUSSIAN THEMES 6 PRUZZISCHE VOKABELN AND CLASSIFICATION 7 SUMMARY AND CONCLUSION 7.1 Principle of selectivity 7.1.1 The sphere of the human being 7.1.2 Abstract terms and concepts 7.1.3 Grammatical items 8 A GUIDE TO USING THE OPG 8.1 Divisions of OPG 8.2 Guide to Citations 8.3 Abbbreviations / acronyms of Frequently Used Terms & Symbols (cf. Select Bibliography) 8.4 Languages and grammatical terms (deviating LBV and other abbreviations are in brackets)." In Johannes Bobrowski : Pruzzische Vokabeln : an old Prussian glossary. Dept. of Languages and Cultures, German Section, University of Otago, 2010. http://dx.doi.org/10.11157/ogs-vol25id324.

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"Surprisingly, there are no official authoritative series of law reports in England to equate with the Queen’s Printers copy of an Act of Parliament. The Stationery Office is responsible for publishing revenue, immigration and social security law cases. However, traditionally, law reports remain in the hands of private publishers. Today, there are numerous, often competitive, private publishers. Although there are no official series of law reports, the courts do respect some reports more than others. A long established, conventional rule is that a law report, if it is to be accepted by the relevant court as an authority, must be prepared by and published under the name of a fully qualified barrister. The greater accuracy of modern reporting, and the vetting by judges, necessitates longer delays before the cases are published. Also, the Law Reports only cover 7% of the cases in the higher courts in any given year. Interesting issues are: (a) who selects which cases to report? (b) how are they selected? Editors select the cases for inclusion in the series of law reports. These are highly trained lawyers, well acquainted with precedent and the likely importance of cases. During the past 150 years publishers of law reports have been generalists or specialists. Some law reports are annotated, particularly for the use of practitioners, others left without annotations, introductions, etc. In addition to reported cases, the Supreme Court Library contains thousands of files of unreported cases. In 1940, the Lord Chancellor’s Department prepared a report: The Report of the Law Reporting Committee. The Committee considered that, after editors had made their choices, ‘What remains is less likely to be a treasure house than a rubbish heap in which a jewel will rarely, if ever, be discovered’ (p 20). (Note the poetic language that forcefully carries the point.) Of course, today, there is a vast range of electronic retrieval systems for accessing details of thousands of unreported cases. This has caused its own problems and there was a legitimate concern that courts would be inundated with cases that did not really contain any new law, but which had been retrieved from electronic sources. In the case of Roberts Petroleum Ltd v Bernard Kenny Ltd [1983] 2 AC 192, the House of Lords took the step of forbidding the citation of unreported cases of the civil division of the Court of Appeal without special leave. The rule remains, however, that to be an accepted version that can be quoted in court the report must have been prepared and published by a barrister. When law students read law reports they must ask: (a) is this report the most authoritative version available? (b) are there fuller versions? (c) if unreported, does this case add to the law? Figure 4.2, below, sets out the types of reports available for the law student to consult." In Legal Method and Reasoning, 78–79. Routledge-Cavendish, 2012. http://dx.doi.org/10.4324/9781843145103-58.

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Conference papers on the topic "ANNOTATIONS AND CITATIONS"

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Romanello, Matteo, and Michele Pasin. "Citations and annotations in classics." In the 1st International Workshop. New York, New York, USA: ACM Press, 2013. http://dx.doi.org/10.1145/2517978.2517981.

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Teufel, Simone, Advaith Siddharthan, and Dan Tidhar. "An annotation scheme for citation function." In the 7th SIGdial Workshop. Morristown, NJ, USA: Association for Computational Linguistics, 2006. http://dx.doi.org/10.3115/1654595.1654612.

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Bakhti, Khadidja, Zhendong Niu, and Ally S. Nyamawe. "Semi-Automatic Annotation for Citation Function Classification." In 2018 International Conference on Control, Artificial Intelligence, Robotics & Optimization (ICCAIRO). IEEE, 2018. http://dx.doi.org/10.1109/iccairo.2018.00016.

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Pride, David, Petr Knoth, and Jozef Harag. "ACT: An Annotation Platform for Citation Typing at Scale." In 2019 ACM/IEEE Joint Conference on Digital Libraries (JCDL). IEEE, 2019. http://dx.doi.org/10.1109/jcdl.2019.00055.

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Prator, Klaus M. "Reference and annotation in digital texts. From citation to “Watson”." In 2013 3rd International Symposium ISKO-Maghreb. IEEE, 2013. http://dx.doi.org/10.1109/isko-maghreb.2013.6728108.

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Yu, Hong, Shashank Agarwal, and Nadya Frid. "Investigating and annotating the role of citation in biomedical full-text articles." In 2009 IEEE International Conference on Bioinformatics and Biomedicine Workshop, BIBMW. IEEE, 2009. http://dx.doi.org/10.1109/bibmw.2009.5332080.

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