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9 results for “textual data”
The portrayal of underlings in Eastern Cālukya copper plates: textual analysis data with revised codebook
<p>This is a textual analysis dataset derived from Eastern Cālukya copperplate grants. The second version of 24 April 2024 contains a slightly revised codebook (in DOC and PDF formats with identical contents) in addition to the earlier dataset. This revision is essentially identical to that reflected in the "Revised tag" column of the dataset, except that many definitions have been made clearer and tidier, and a small number of intermediate-level categories have been added for better hierarchisation. The codes in use have not been altered.</p> <p><br>The data accompany the following forthcoming publications (title and date of publication subject to change):</p> <p>Balogh, Dániel (forthcoming 2024), 'The portrayal of underlings in Eastern Cālukya copper plates'. In: Self-Representation and Presentation of Others in Indic Epigraphical Writing, edited by Annette Schmiedchen and Dániel Balogh. Wiesbaden: Harrassowitz.</p> <div> <div>Balogh, Dániel (forthcoming 2024). ‘Textual Analysis Methodology and Royal Representation in Copperplate Grants’. In <em>Bhūtārthakathane ... Sarasvatī: Reading Poetry as a History Book</em>, edited by Marco Franceschini, Chiara Livio, and Lidia Wojtczak. Studies on the History of Śaivism. Naples: UniorPress.</div> </div> <p>The former publication introduces the method sketched out on the introductory page of this dataset and studies a particular topic through this methodology, while the latter discusses the method in more detail. An account of the technical details is in preparation by Balogh.</p> <p><br>This dataset, the underlying research and the relevant publications are results of the project DHARMA ‘The Domestication of “Hindu” Asceticism and the Religious Making of South and Southeast Asia’. This project has received funding from the European Research Council (ERC) under the European Union’s Horizon 2020 research and innovation programme (grant agreement no 809994).</p>
Śaiva and Buddhist rhetoric in copperplate grants of the Eastern Deccan: textual analysis data
<p>This is a textual analysis dataset derived from copperplate grants of the Eastern Cālukyas, Viṣṇukuṇḍis and Śrīmūla.<br> The data accompany the following forthcoming publication (title and date of publication subject to change):<br> Balogh, Dániel. 2024. ‘Can We Discern a Śaiva and a Buddhist Rhetoric in Royal Eulogies?’ In Śaiva-Buddhist Encounters in Early Medieval East India, edited by Florinda De Simini. Studies on the History of Śaivism. Naples: UniorPress.<br> Details of the methodology are presented in other publications by Balogh to appear in 2024 (forthcoming or in preparation when this dataset is released).<br> The parent of this dataset is available at https://zenodo.org/record/7900312<br> The present dataset has been extended by adding analytical data from Viṣṇukuṇḍi and Śrīmūla charters, but simultaneously reduced by discarding all data not pertaining to the issuing sovereigns.<br> This dataset, the underlying research and the relevant publication are results of the project DHARMA ‘The Domestication of “Hindu” Asceticism and the Religious Making of South and Southeast Asia’. This project has received funding from the European Research Council (ERC) under the European Union’s Horizon 2020 research and innovation programme (grant agreement no 809994).</p>
The datasets for "Automated Recovery of Issue-Commit Links Leveraging Both Textual and Non-textual Data" paper
<p>Paper title: Automated Recovery of Issue-Commit Links Leveraging Both Textual and Non-textual Data</p> <p>Conference: ICSME 2021</p>
Textual groups data
<p>Data matrices, distance matrices, R scripts, and analysis results relating to textual groups.</p>
A Novel Curated Scholarly Graph Connecting Textual and Data Publications
<p>This dataset contains an open and curated scholarly graph we built as a training and test set for data discovery, data connection, author disambiguation, and link prediction tasks. This graph represents the European Marine Science community included in the OpenAIRE Graph. The nodes of the graph we release represent publications, datasets, software, and authors respectively; edges interconnecting research products always have the publication as source, and the dataset/software as target. In addition, edges are labeled with semantics that outline whether the publication is <em>referencing, citing, documenting</em>, or <em>supplementing</em> the related outcome. To curate and enrich nodes metadata and edges semantics, we relied on the information extracted from the PDF of the publications and the datasets/software webpages respectively. We curated the authors so to remove duplicated nodes representing the same person. </p> <p>The resource we release counts 4,047 publications, 5,488 datasets, 22 software, 21,561 authors, and 9,692 edges connect publications to datasets/software. This graph is in the <em>curated_MES</em> folder. We provide this resource as:</p> <ol> <li>a property graph: we provide the dump that can be imported in neo4j</li> <li>5 jsonl files containing publications, datasets, software, authors, and relationships respectively. Each line of a jsonl file contains a JSON object representing a node and contains the metadata of that node (or a relationship).</li> </ol> <p>We provide two additional scholarly graphs:</p> <ul> <li>The curated MES graph with the removed edges. During the curation we removed some edges since they were labeled with an inconsistent or imprecise semantics. This graph includes the same nodes and edges as the previous one, and, in addition, it contains the edges removed during the curation pipeline; these edges are marked as <em>Removed</em>. This graph is in the <em>curated_MES_with_removed_semantics</em> folder.<br> </li> <li>The original MES community of OpenAIRE. It represents the MES community extracted from the OpenAIRE Research Graph. This graph has not been curated, and the metadata and semantics are those of the OpenAIRE Research Graph. This graph is in the <em>original_MES_community</em> folder.</li> </ul> <p> </p> <p> </p>
Data Appendices for "Textual Scholarship and Contemporary Literary Studies: Jennifer Egan's Editorial Processes and the Archival Edition of Emerald City"
<p>This dataset documents the version variants between Jennifer Egan's early short stories, "The Stylist" and "Sacred Heart". It is a supplement to the article "Textual Scholarship and Contemporary Literary Studies: Jennifer Egan’s Editorial Processes and the Archival Edition of <em>Emerald City</em>" in <em>LIT: Literature Interpretation Theory</em>.</p>
Dataset of miRNA-Disease Relations Extracted from Textual Data using Transformer-based Neural Networks
<p>Supplementary Data.</p>
Assisted Data Annotation for Business Process Information Extraction from Textual Documents
Open the record for dataset details and reuse information.
EAD: Effortless Anomalies Detection, A deep learning based approach for detecting outliers in textual data
<p>Xiuzhe Wang used this data set for his project</p>
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