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This data set contains annotated text versions of 2-page abstracts published at the Lunar and Planetary Science Conference in 2015 and 2016.
\n\nThe original PDF abstracts are available at:
\n\nThe text files in this archive were extracted using the Apache Tika PDF parsing tool.\u00a0 The text is provided here so that the annotations can be viewed.\u00a0 The text content remains copyright of the original abstract authors.
\n\nThe annotations (entities and relations) are provided in the format used by the brat annotation tool.\u00a0 To view the annotations in a web-based graphical form, install the brat tool (http://brat.nlplab.org/).\u00a0 These annotations were generated using brat v1.3.\u00a0 The annotation files are also human-readable and can be parsed in to be used directly in code.
\n\nContents:
\n\nEach directory contains a .txt and .ann file for each abstract.\u00a0 The .ann file is in brat standoff format (http://brat.nlplab.org/standoff.html).
\n\nAdditional .conf files are provided to generate color highlighting and keyboard shortcuts.\u00a0 These are used by the brat tool.
\n\nAttribution:
\n\nIf you use this data set in your own work, please cite this DOI:
\n\n10.5281/zenodo.1048419
\n\nPlease also cite this paper, which provides additional details about the data set.
\n\nKiri L. Wagstaff, Raymond Francis, Thamme Gowda, You Lu, Ellen Riloff, Karanjeet Singh, and Nina Lanza. \"Mars Target Encyclopedia: Rock and Soil Composition Extracted from the Literature.\"\u00a0 Proceedings of the Thirtieth Annual Conference on Innovative Applications of Artificial Intelligence, 2018.
", "languages": [ { "id": "eng", "title": { "en": "English" } } ], "publication_date": "2017-11-14", "publisher": "Zenodo", "references": [ { "reference": "Kiri L. Wagstaff, Raymond Francis, Thamme Gowda, You Lu, Ellen Riloff, Karanjeet Singh, and Nina Lanza. \"Mars Target Encyclopedia: Rock and Soil Composition Extracted from the Literature.\"\u00a0 Proceedings of the Thirtieth Annual Conference on Innovative Applications of Artificial Intelligence, 2018." } ], "resource_type": { "id": "dataset", "title": { "de": "Datensatz", "en": "Dataset" } }, "rights": [ { "description": { "en": "Permits almost any use subject to providing credit and license notice. Frequently used for media assets and educational materials. The most common license for Open Access scientific publications. Not recommended for software." }, "icon": "cc-by-sa-icon", "id": "cc-by-sa-4.0", "props": { "scheme": "spdx", "url": "https://creativecommons.org/licenses/by-sa/4.0/legalcode" }, "title": { "en": "Creative Commons Attribution Share Alike 4.0 International" } } ], "subjects": [ { "subject": "Mars" }, { "subject": "information extraction" }, { "subject": "named entity recognition" } ], "title": "Mars Target Encyclopedia - LPSC abstracts labeled data set", "version": "1.0.0" }, "parent": { "access": { "owned_by": { "user": 38378 } }, "communities": {}, "id": "1048418", "pids": { "doi": { "client": "datacite", "identifier": "10.5281/zenodo.1048418", "provider": "datacite" } } }, "pids": { "doi": { "client": "datacite", "identifier": "10.5281/zenodo.1048419", "provider": "datacite" }, "oai": { "identifier": "oai:zenodo.org:1048419", "provider": "oai" } }, "revision_id": 6, "stats": { "all_versions": { "data_volume": 56180817.0, "downloads": 99, "unique_downloads": 93, "unique_views": 1218, "views": 1323 }, "this_version": { "data_volume": 56180817.0, "downloads": 99, "unique_downloads": 93, "unique_views": 1216, "views": 1321 } }, "status": "published", "updated": "2020-01-24T19:25:54.679870+00:00", "versions": { "index": 1, "is_latest": true } }