Academic literature on the topic 'Collaborative annotation'

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Journal articles on the topic "Collaborative annotation"

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Islamaj, Rezarta, Dongseop Kwon, Sun Kim, and Zhiyong Lu. "TeamTat: a collaborative text annotation tool." Nucleic Acids Research 48, W1 (2020): W5—W11. http://dx.doi.org/10.1093/nar/gkaa333.

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Abstract Manually annotated data is key to developing text-mining and information-extraction algorithms. However, human annotation requires considerable time, effort and expertise. Given the rapid growth of biomedical literature, it is paramount to build tools that facilitate speed and maintain expert quality. While existing text annotation tools may provide user-friendly interfaces to domain experts, limited support is available for figure display, project management, and multi-user team annotation. In response, we developed TeamTat (https://www.teamtat.org), a web-based annotation tool (loca
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Park, Jinkyung Katie, Rahul Dev Ellezhuthil, Pamela Wisniewski, and Vivek Singh. "Collaborative human-AI risk annotation: co-annotating online incivility with CHAIRA." Information Research an international electronic journal 30, iConf (2025): 992–1008. https://doi.org/10.47989/ir30iconf47146.

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Introduction. Collaborative human-AI annotation is a promising approach for various tasks with large-scale and complex data. Tools and methods to support effective human-AI collaboration for data annotation are an important direction for research. In this paper, we present CHAIRA: a Collaborative Human-AI Risk Annotation tool that enables human and AI agents to collaboratively annotate online incivility. Method. We leveraged Large Language Models (LLMs) to facilitate the interaction between human and AI annotators and examine four different prompting strategies. The developed CHAIRA system com
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Wiktorin, Thomas, Daniel Grigutsch, Felix Erdfelder, et al. "Collaborative Semantic Annotation Tooling (CoAT) to Improve Efficiency and Plug-and-Play Semantic Interoperability in the Secondary Use of Medical Data: Concept, Implementation, and First Cross-Institutional Experiences." Applied Sciences 14, no. 2 (2024): 820. http://dx.doi.org/10.3390/app14020820.

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The cross-institutional secondary use of medical data benefits from structured semantic annotation, which ideally enables the matching and merging of semantically related data items from different sources and sites. While numerous medical terminologies and ontologies, as well as some tooling, exist to support such annotation, cross-institutional data usage based on independently annotated datasets is challenging for multiple reasons: the annotation process is resource intensive and requires a combination of medical and technical expertise since it often requires judgment calls to resolve ambig
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Xia, Meng, Shradha Maharjan, Tammy Le, Will Taylor, and Myoungkyu Song. "SYNCode: Synergistic Human–LLM Collaboration for Enhanced Data Annotation in Stack Overflow." Information 16, no. 5 (2025): 392. https://doi.org/10.3390/info16050392.

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Large language models (LLMs) have rapidly advanced natural language processing, showcasing remarkable effectiveness as automated annotators across various applications. Despite their potential to significantly reduce annotation costs and expedite workflows, annotations produced solely by LLMs can suffer from inaccuracies and inherent biases, highlighting the necessity of maintaining human oversight. In this article, we present a synergistic human–LLM collaboration approach for data annotation enhancement (SYNCode). This framework is designed explicitly to facilitate collaboration between human
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Rydell, Christopher, and Joakim Lindblad. "CytoBrowser: a browser-based collaborative annotation platform for whole slide images." F1000Research 10 (March 22, 2021): 226. http://dx.doi.org/10.12688/f1000research.51916.1.

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We present CytoBrowser, an open-source (GPLv3) JavaScript and Node.js driven environment for fast and accessible collaborative online visualization, assessment, and annotation of very large microscopy images, including, but not limited to, z-stacks (focus stacks) of cytology or histology whole slide images. CytoBrowser provides a web-based viewer for high-resolution zoomable images and facilitates easy remote collaboration, with options for joint-view visualization and simultaneous collaborative annotation of very large datasets. It delivers a unique combination of functionalities not found in
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Karimzadeh, Morteza, and Alan MacEachren. "GeoAnnotator: A Collaborative Semi-Automatic Platform for Constructing Geo-Annotated Text Corpora." ISPRS International Journal of Geo-Information 8, no. 4 (2019): 161. http://dx.doi.org/10.3390/ijgi8040161.

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Ground-truth datasets are essential for the training and evaluation of any automated algorithm. As such, gold-standard annotated corpora underlie most advances in natural language processing (NLP). However, only a few relatively small (geo-)annotated datasets are available for geoparsing, i.e., the automatic recognition and geolocation of place references in unstructured text. The creation of geoparsing corpora that include both the recognition of place names in text and matching of those names to toponyms in a geographic gazetteer (a process we call geo-annotation), is a laborious, time-consu
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Li, Zhenduo. "An exploration and practice of an optimized online annotation solution based on PDF slicing and SVG." Applied and Computational Engineering 43, no. 1 (2024): 180–92. http://dx.doi.org/10.54254/2755-2721/43/20230831.

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With the continuous development of network technology, online annotation has become an essential tool in fields such as education, training, and document collaboration. However, traditional annotation techniques are plagued by several limitations, including low security, non-erasable annotations after uploading, and difficulties in communication across different systems. To address these issues, this paper proposes an SVG-based online annotation technique that is built upon PDF file slicing. This approach aims to enhance the deficiencies of traditional annotation techniques and improve user in
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Goy, Annamaria, Diego Magro, Giovanna Petrone, Claudia Picardi, Marco Rovera, and Marino Segnan. "An Integrated Support to Collaborative Semantic Annotation." Advances in Human-Computer Interaction 2017 (2017): 1–12. http://dx.doi.org/10.1155/2017/7219098.

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Everybody experiences every day the need to manage a huge amount of heterogeneous shared resources, causing information overload and fragmentation problems. Collaborative annotation tools are the most common way to address these issues, but collaboratively tagging resources is usually perceived as a boring and time consuming activity and a possible source of conflicts. To face this challenge, collaborative systems should effectively support users in the resource annotation activity and in the definition of a shared view. The main contribution of this paper is the presentation and the evaluatio
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Chen, Chih-Ming, and Ming-Yueh Tsay. "Applications of collaborative annotation system in digital curation, crowdsourcing, and digital humanities." Electronic Library 35, no. 6 (2017): 1122–40. http://dx.doi.org/10.1108/el-08-2016-0172.

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Purpose Collaboratively annotating digital texts allow users to add valued information, share ideas and create knowledge. Most importantly, annotated content can help users obtain a deeper and broader understanding of a text compared to digital content without annotations. This work proposes a novel collaborative annotation system (CAS) with four types of multimedia annotations including text annotation, picture annotation, voice annotation and video annotation which can embedded into any HTML Web pages to enable users to collaboratively add and manage annotations on these pages and provide a
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FERNÁNDEZ, N., J. A. FISTEUS, D. FUENTES, L. SÁNCHEZ, and V. LUQUE. "A WIKIPEDIA-BASED FRAMEWORK FOR COLLABORATIVE SEMANTIC ANNOTATION." International Journal on Artificial Intelligence Tools 20, no. 05 (2011): 847–86. http://dx.doi.org/10.1142/s0218213011000413.

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The semantic web aims at automating web data processing tasks that nowadays only humans are able to do. To make this vision a reality, the information on web resources should be described in a computer-meaningful way, in a process known as semantic annotation. In this paper, a manual, collaborative semantic annotation framework is described. It is designed to take advantage of the benefits of manual annotation systems (like the possibility of annotating formats difficult to annotate in an automatic manner) addressing at the same time some of their limitations (reduce the burden for non-expert
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Dissertations / Theses on the topic "Collaborative annotation"

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Hong, Yi. "Collaborative annotation, search and categorisation." Thesis, University of Leicester, 2016. http://hdl.handle.net/2381/38032.

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The purpose of this research is to develop a collaborative framework for annotation, search and categorisation. The basis of this research is to define an ontology-based data model that allows users to create semantic tags, establish relationships among tags and provide contextual information by hierarchical concepts and properties structure derived from a lexical knowledge base. A computational model is introduced to record uncertainty, establish user credibility and compute the truthfulness or reliability of the statements, which can then be used for ranking search results. A method to trans
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Golder, Scott Andrew. "Webbed Footnotes : collaborative annotation on the Web." Thesis, Massachusetts Institute of Technology, 2005. http://hdl.handle.net/1721.1/33886.

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Thesis (S.M.)--Massachusetts Institute of Technology, School of Architecture and Planning, Program in Media Arts and Sciences, 2005.<br>Includes bibliographical references (leaves 69-72).<br>More and more, web users are moving from simply consuming content on the web to creating it as well, in the form of discussion boards, weblogs, wikis, and other collaborative and conversational media. Despite this, the web remains largely read-only; web designers create sites that are designed to be consumed by the public, much like other, traditional mass media. In this thesis, I explore free, shared anno
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Salazar, Gustavo A. "DAS Writeback: A collaborative annotation system for proteins." Master's thesis, University of Cape Town, 2010. http://hdl.handle.net/11427/14760.

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We designed and developed a Collaborative Annotation System for Proteins called DAS Writeback, which extends the Distributed Annotation System (DAS) to provide the functionalities of adding, editing and deleting annotations. A great deal of e ort has gone into gathering information about proteins over the last few years. By June 2009, UniProtKB/Swiss-Prot, a curated database, contained over four hundred thousand sequence entries and UniProtKB/TrEMBL, a database with automated annotation, contained over eight million sequence entries. Every protein is annotated with relevant information, which
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Glover, Ian Richard. "Construction of collaborative Web annotation systems for e-learning." Thesis, University of Huddersfield, 2006. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.431525.

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Diakopoulos, Nicholas A. "Collaborative annotation, analysis, and presentation interfaces for digital video." Diss., Atlanta, Ga. : Georgia Institute of Technology, 2009. http://hdl.handle.net/1853/29680.

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Thesis (Ph.D)--Computing, Georgia Institute of Technology, 2010.<br>Committee Chair: Essa, Irfan; Committee Member: Abowd, Gregory; Committee Member: Bolter, Jay; Committee Member: Lampe, Cliff; Committee Member: Stasko, John. Part of the SMARTech Electronic Thesis and Dissertation Collection.
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Schroeter, Ronald. "Collaborative video indexing, annotation and discussion over high-bandwidth networks /." St. Lucia, Qld, 2004. http://www.library.uq.edu.au/pdfserve.php?image=thesisabs/absthe18014.pdf.

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Weng, Chunhua. "Supporting collaborative clinical trial protocol writing through an annotation design /." Thesis, Connect to this title online; UW restricted, 2005. http://hdl.handle.net/1773/7155.

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Chan, Wun Wa. "A study of social annotation tool in facilitating collaborative inquiry learning." HKBU Institutional Repository, 2018. https://repository.hkbu.edu.hk/etd_oa/514.

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In twenty-first (21st) century tertiary education, undergraduate study is intended to not only to teach the subject knowledge through direct instruction or lecturing, but also to cultivate and foster students' skills and literacies to suit societal needs. For this reason, it is increasingly important to introduce new teaching and learning (T&L) strategies and web applications (apps) into students' undergraduate study. The introduction of collaborative inquiry learning (CIL) is intended to enhance students' communication and collaboration skills throughout their learning. In addition, by introd
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Rodriguez, Henrry. "Designing, evaluating and exploring Web-based tools for collaborative annotation of documents." Doctoral thesis, KTH, Numerical Analysis and Computer Science, NADA, 2003. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-3552.

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<p>This thesis explores the use of the World Wide Web asinfrastructure for collaboration among small or middle sizedgroups. A collection of Web-based tools has been developed,whose main characteristic is that they allow users to makeannotations to shared documents. These Web annotations form adialogue that is persistent and immediately accessible to theusers. Special interest has been devoted to observing howcollaborators make use of a common space where Web-documents aswell as Web-annotations are organized and stored. This commonspace has been called a domain.</p><p>We have also tried a novel
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Barrellon, Vincent. "A generic approach towards the collaborative construction of digital scholarly editions." Thesis, Lyon, 2017. http://www.theses.fr/2017LYSEI113/document.

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Les éditions critiques numériques sont des ressources patrimoniales annotées, sous une forme numérique. De telles éditions prennent la forme d'une transcription des ressources originales, augmentées d'un apparat critique, c'est-à-dire, la forme de données structurées. Dans un contexte collaboratif, a structure de ces données est définie explicitement par un schéma, document interprétable qui contraint la manière dont les éditeurs vont pouvoir annoter les ressources primaires et va de ce fait garantir une certaine homogénéité dans le respect de la politique éditoriale. Les projets d'édition cri
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Books on the topic "Collaborative annotation"

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Fort, Karën. Collaborative Annotation for Reliable Natural Language Processing. John Wiley & Sons, Inc., 2016. http://dx.doi.org/10.1002/9781119306696.

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Fort, Karën. Collaborative Annotation for Reliable Natural Language Processing: Technical and Sociological Aspects. Wiley & Sons, Incorporated, John, 2016.

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Karën Fort. Collaborative Annotation for Reliable Natural Language Processing: Technical and Sociological Aspects. Wiley & Sons, Incorporated, John, 2016.

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Fort, Kar�n. Collaborative Annotation for Reliable Natural Language Processing: Technical and Sociological Aspects. Wiley & Sons, Incorporated, John, 2016.

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Fort, Karën. Collaborative Annotation for Reliable Natural Language Processing: Technical and Sociological Aspects. Wiley & Sons, Incorporated, John, 2016.

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Dh-Case II : Collaborative Annotations on Shared Environments: Metadata, Tools and Techniques in the Digital Humanities. Association for Computing Machinery, 2014.

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Proceedings of the 1st International Workshop on Collaborative Annotations in Shared Environment: Metadata, Vocabularies and Techniques in the Digital Humanities. Association for Computing Machinery, 2013.

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Fleteren, Frederick van. Life of Augustine : Part One: Childhood to Episcopal Consecration - Mémoire Ecclésiastique- Volume XIII- Introduction and Annotation by Frederick Van Fleteren- Translated by Frederick Van Fleteren in Collaboration with George Berthold. Lang AG International Academic Publishers, Peter, 2011.

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Broad, Jacqueline, ed. Women Philosophers of Seventeenth-Century England. Oxford University Press, 2019. http://dx.doi.org/10.1093/oso/9780190673321.001.0001.

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This volume is an edited collection of private letters and published epistles to and from English women philosophers of the early modern period (c. 1650–1700). It includes the letters and epistles of Margaret Cavendish, Anne Conway, Damaris Cudworth Masham, and Elizabeth Berkeley Burnet. These women were the correspondents of some of the best-known intellectuals of the period, including Constantijn Huygens, Walter Charleton, Henry More, Joseph Glanvill, John Locke, Jean Le Clerc, and Gottfried Wilhelm Leibniz. Their epistolary exchanges range over a wide variety of philosophical subjects, from
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Book chapters on the topic "Collaborative annotation"

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Zad, Damon Daylamani, and Harry Agius. "Collaborative Movie Annotation." In Handbook of Multimedia for Digital Entertainment and Arts. Springer US, 2009. http://dx.doi.org/10.1007/978-0-387-89024-1_12.

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Petasis, Georgios, Martin Ruskov, Anna Gradou, and Marko Kokol. "The VAST Collaborative Multimodal Annotation Platform: Annotating Values." In Information Systems and Technologies. Springer Nature Switzerland, 2024. http://dx.doi.org/10.1007/978-3-031-45651-0_21.

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Bruneau, Pierrick, Mickaël Stefas, Mateusz Budnik, et al. "Collaborative Annotation of Multimedia Resources." In Lecture Notes in Computer Science. Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-10831-5_23.

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Biemann, Chris, Kalina Bontcheva, Richard Eckart de Castilho, Iryna Gurevych, and Seid Muhie Yimam. "Collaborative Web-Based Tools for Multi-layer Text Annotation." In Handbook of Linguistic Annotation. Springer Netherlands, 2017. http://dx.doi.org/10.1007/978-94-024-0881-2_8.

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Burhan-Horasanli, Elif. "Chapter 2. Examining graduate students’ positioning identities in collaborative digital annotation tools." In AILA Applied Linguistics Series. John Benjamins Publishing Company, 2024. http://dx.doi.org/10.1075/aals.21.02bur.

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Digital annotation tools (DATs) are one of the recent digital platforms in which multiple users can read and annotate a shared document. Scholars have explored the use and impacts of DATs on peer interaction and documented that collaborative annotation enables a more learner-centered academic space where students can facilitate peer learning and socialization. The present study, on the other hand, shifts the focus and explores the roles of peer interaction to document three multilingual doctoral students’ micro-level positioning identities in a semester-long DAT activity. The study’s data invo
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Men, Liang, and Nick Bryan-Kinns. "Supporting Sonic Interaction in Creative, Shared Virtual Environments." In Sonic Interactions in Virtual Environments. Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-04021-4_8.

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AbstractThis chapter examines user experience design for collaborative music making in shared virtual environments (SVEs). Whilst SVEs have been extensively researched for many application domains including education, entertainment, work and training, there is limited research on the creative aspects. This results in many unanswered design questions such as how to design the user experience without being detrimental to the creative output, and how to design spatial configurations to support both individual creativity and collaboration. Here, we explore multi-modal approaches to supporting crea
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Hofmann, Cristian, Uwe Boettcher, and Dieter W. Fellner. "Change Awareness for Collaborative Video Annotation." In Proceedings of COOP 2010. Springer London, 2010. http://dx.doi.org/10.1007/978-1-84996-211-7_7.

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Steimle, Jürgen. "Collaborative Cross-media Annotation of Documents." In Pen-and-Paper User Interfaces. Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-20276-6_5.

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Zhang, Rui, Kui Wu, Kim-Hui Yap, and Ling Guan. "A Collaborative Bayesian Image Annotation Framework." In Advances in Multimedia Information Processing - PCM 2008. Springer Berlin Heidelberg, 2008. http://dx.doi.org/10.1007/978-3-540-89796-5_36.

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Gao, Lili, Tian Cheng, Liping Gao, and Dongbin Guo. "Real-Time Collaborative Annotation System Supporting Separation of Content and Annotation." In Human Centered Computing. Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-37429-7_12.

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Conference papers on the topic "Collaborative annotation"

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Kim, Hannah, Kushan Mitra, Rafael Li Chen, Sajjadur Rahman, and Dan Zhang. "MEGAnno+: A Human-LLM Collaborative Annotation System." In Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics: System Demonstrations. Association for Computational Linguistics, 2024. https://doi.org/10.18653/v1/2024.eacl-demo.18.

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Nasr, Latifa Iben, Abir Masmoudi, and Lamia Hadrich Belguith. "Dimensional Emotion Annotation for Spontaneous Tunisian Dialect Speech." In 2024 32nd International Conference on Enabling Technologies: Infrastructure for Collaborative Enterprises (WETICE). IEEE, 2024. https://doi.org/10.1109/wetice64632.2024.00026.

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Wu, Jianfei, Xubin Wang, and Weijia Jia. "Enhancing Text Annotation Through Rationale-Driven Collaborative Few-Shot Prompting." In ICASSP 2025 - 2025 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). IEEE, 2025. https://doi.org/10.1109/icassp49660.2025.10889661.

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Porter, Gavin. "Collaborative Annotation." In L@S '22: Ninth (2022) ACM Conference on Learning @ Scale. ACM, 2022. http://dx.doi.org/10.1145/3491140.3528322.

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De Boer, Vincent, and Howard Spoelstra. "The effects of collaboration scripts on the number and quality of student interactions in a social annotation tool." In Seventh International Conference on Higher Education Advances. Universitat Politècnica de València, 2021. http://dx.doi.org/10.4995/head21.2021.12862.

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Social Annotation (SA) tools can be used to facilitate active and collaborative learning when students have to study academic texts. However, making these tools available does not ensure students participate in argumentative discussions. Scaffolding students by means of collaborations scripts geared towards collaboration and discussion encourages students to engage in meaningful, high-quality interactions. We conducted an experiment with students (n=59) in a course running at a Dutch university, using the SA tool Perusall. A control group received normal instructions, while an experimental gro
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Mizzaro, Stefano, Elena Nazzi, and Luca Vassena. "Collaborative annotation for context-aware retrieval." In the WSDM '09 Workshop. ACM Press, 2009. http://dx.doi.org/10.1145/1506250.1506260.

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Atrash, Ala, Marie-Hélène Abel, and Claude Moulin. "Supporting Organizational Learning with Collaborative Annotation." In International Conference on Knowledge Management and Information Sharing. SCITEPRESS - Science and and Technology Publications, 2014. http://dx.doi.org/10.5220/0005082602370244.

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Hu, He, and Xiaoyong Du. "ConAnnotator: Ontology-Aided Collaborative Annotation System." In 2006 10th International Conference on Computer Supported Cooperative Work in Design. IEEE, 2006. http://dx.doi.org/10.1109/cscwd.2006.253233.

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Sun, Fuming, Yong Ge, Dongxia Wang, and Xueming Wang. "A Collaborative Approach for Image Annotation." In 2010 Fourth Pacific-Rim Symposium on Image and Video Technology (PSIVT). IEEE, 2010. http://dx.doi.org/10.1109/psivt.2010.39.

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Soon, Chien Jon, and Paul Roe. "Annotation architecture for mobile collaborative mapping." In the 6th International Conference. ACM Press, 2008. http://dx.doi.org/10.1145/1497185.1497230.

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Reports on the topic "Collaborative annotation"

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Harman, Gary E., and Ilan Chet. Enhancement of plant disease resistance and productivity through use of root symbiotic fungi. United States Department of Agriculture, 2008. http://dx.doi.org/10.32747/2008.7695588.bard.

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The objectives of the project were to (a) compare effects ofT22 and T-203 on growth promotion and induced resistance of maize inbred line Mol7; (b) follow induced resistance of pathogenesis-related proteins through changes in gene expression with a root and foliar pathogen in the presence or absence of T22 or T-203 and (c) to follow changes in the proteome of Mol? over time in roots and leaves in the presence or absence of T22 or T-203. The research built changes in our concepts regarding the effects of Trichoderma on plants; we hypothesized that there would be major changes in the physiology
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Arndt, Witold. A survey on research data management practices among researchers in the Helmholtz Association. HMC Office, GEOMAR Helmholtz Centre for Ocean Research Kiel, 2022. http://dx.doi.org/10.3289/hmc_publ_05.

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Annotation of research data with rich metadata is important to make that data findable, accessible, interoperable, and reusable (Wilkinson et al. [2016]). This ensures the conducted research data is durable. Within the Helmholtz Association, the Helmholtz Metadata Collaboration (HMC) coordinates the mission to enrich Helmholtz-based research data with metadata by providing (information about) technical solutions, advice and ensuring uniform scientific standards for the use of metadata. In 2021, HMC conducted its first community survey to align its services with the needs of Helmholtz researche
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Rodriguez Muxica, Natalia. Open configuration options Bioinformatics for Researchers in Life Sciences: Tools and Learning Resources. Inter-American Development Bank, 2022. http://dx.doi.org/10.18235/0003982.

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The COVID-19 pandemic has shown that bioinformatics--a multidisciplinary field that combines biological knowledge with computer programming concerned with the acquisition, storage, analysis, and dissemination of biological data--has a fundamental role in scientific research strategies in all disciplines involved in fighting the virus and its variants. It aids in sequencing and annotating genomes and their observed mutations; analyzing gene and protein expression; simulation and modeling of DNA, RNA, proteins and biomolecular interactions; and mining of biological literature, among many other c
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