Changes
On August 4, 2023 at 8:46:48 AM UTC, admin:
-
Set author of STEM-ECR-v1.0 to Jennifer D’Souza (previously Jennifer D’Souza; Anett Hoppe; Arthur Brack; Mohamad Yaser Jaradeh; Soren Auer; Ralph Ewerth)
f | 1 | { | f | 1 | { |
n | 2 | "author": "Jennifer D\u2019Souza; Anett Hoppe; Arthur Brack; Mohamad | n | 2 | "author": "Jennifer D\u2019Souza", |
3 | Yaser Jaradeh; Soren Auer; Ralph Ewerth", | ||||
4 | "author_email": "jennifer.dsouza@tib.eu", | 3 | "author_email": "jennifer.dsouza@tib.eu", | ||
5 | "creator_user_id": "17755db4-395a-4b3b-ac09-e8e3484ca700", | 4 | "creator_user_id": "17755db4-395a-4b3b-ac09-e8e3484ca700", | ||
6 | "doi": "10.25835/0017546", | 5 | "doi": "10.25835/0017546", | ||
7 | "doi_date_published": "2020-02-13", | 6 | "doi_date_published": "2020-02-13", | ||
8 | "doi_publisher": "LUIS", | 7 | "doi_publisher": "LUIS", | ||
9 | "doi_status": "true", | 8 | "doi_status": "true", | ||
10 | "domain": "https://data.uni-hannover.de", | 9 | "domain": "https://data.uni-hannover.de", | ||
n | n | 10 | "extra_authors": [ | ||
11 | { | ||||
12 | "extra_author": " Anett Hoppe" | ||||
13 | }, | ||||
14 | { | ||||
15 | "extra_author": " Arthur Brack" | ||||
16 | }, | ||||
17 | { | ||||
18 | "extra_author": " Mohamad Yaser Jaradeh" | ||||
19 | }, | ||||
20 | { | ||||
21 | "extra_author": " Soren Auer" | ||||
22 | }, | ||||
23 | { | ||||
24 | "extra_author": " Ralph Ewerth" | ||||
25 | } | ||||
26 | ], | ||||
11 | "groups": [], | 27 | "groups": [], | ||
12 | "have_copyright": "Yes", | 28 | "have_copyright": "Yes", | ||
13 | "id": "0a4d8d4e-f881-48f5-82e8-20c2c635e8bd", | 29 | "id": "0a4d8d4e-f881-48f5-82e8-20c2c635e8bd", | ||
14 | "isopen": false, | 30 | "isopen": false, | ||
15 | "license_id": "CC-BY-SA-3.0", | 31 | "license_id": "CC-BY-SA-3.0", | ||
16 | "license_title": "CC-BY-SA-3.0", | 32 | "license_title": "CC-BY-SA-3.0", | ||
17 | "maintainer": "Jennifer D'Souza", | 33 | "maintainer": "Jennifer D'Souza", | ||
18 | "maintainer_email": "jennifer.dsouza@tib.eu", | 34 | "maintainer_email": "jennifer.dsouza@tib.eu", | ||
19 | "metadata_created": "2021-10-14T10:16:07.262891", | 35 | "metadata_created": "2021-10-14T10:16:07.262891", | ||
n | 20 | "metadata_modified": "2023-01-12T13:14:26.246076", | n | 36 | "metadata_modified": "2023-08-04T08:46:48.328452", |
21 | "name": "luh-stem-ecr-v1-0", | 37 | "name": "luh-stem-ecr-v1-0", | ||
22 | "notes": "##Grounding Scientific Entity References in STEM Scholarly | 38 | "notes": "##Grounding Scientific Entity References in STEM Scholarly | ||
23 | Content to Authoritative Encyclopedic and Lexicographic | 39 | Content to Authoritative Encyclopedic and Lexicographic | ||
24 | Sources\r\n\r\nThe STEM ECR v1.0 dataset has been developed to provide | 40 | Sources\r\n\r\nThe STEM ECR v1.0 dataset has been developed to provide | ||
25 | a benchmark for the evaluation of scientific entity extraction, | 41 | a benchmark for the evaluation of scientific entity extraction, | ||
26 | classification, and resolution tasks in a domain-independent fashion. | 42 | classification, and resolution tasks in a domain-independent fashion. | ||
27 | It comprises annotations for scientific entities in scientific | 43 | It comprises annotations for scientific entities in scientific | ||
28 | Abstracts drawn from 10 disciplines in Science, Technology, | 44 | Abstracts drawn from 10 disciplines in Science, Technology, | ||
29 | Engineering, and Medicine. The annotated entities are further grounded | 45 | Engineering, and Medicine. The annotated entities are further grounded | ||
30 | to Wikipedia and Wiktionary, respectively.\r\n\r\n###What this | 46 | to Wikipedia and Wiktionary, respectively.\r\n\r\n###What this | ||
31 | repository contains?\r\nThe dataset is organized in the following | 47 | repository contains?\r\nThe dataset is organized in the following | ||
32 | folders:\r\n\r\n* Scientific Entity Annotations: Contains annotations | 48 | folders:\r\n\r\n* Scientific Entity Annotations: Contains annotations | ||
33 | for Process, Material, Method, and Data scientific entities in the | 49 | for Process, Material, Method, and Data scientific entities in the | ||
34 | STEM dataset.\r\n* Scientific Entity Resolution: Annotations for the | 50 | STEM dataset.\r\n* Scientific Entity Resolution: Annotations for the | ||
35 | STEM dataset scientific entities with Entity Linking (EL) annotations | 51 | STEM dataset scientific entities with Entity Linking (EL) annotations | ||
36 | to Wikipedia and Word Sense Disambiguation (WSD) annotations to | 52 | to Wikipedia and Word Sense Disambiguation (WSD) annotations to | ||
37 | Wiktionary.\r\n\r\n\r\n###Annotation Guidelines\r\n\r\nThe annotation | 53 | Wiktionary.\r\n\r\n\r\n###Annotation Guidelines\r\n\r\nThe annotation | ||
38 | guidelines that supported the creation of this corpus can be found | 54 | guidelines that supported the creation of this corpus can be found | ||
39 | ter/STEM-ECR-v1.0/annotation-guidelines-for-scientific-linked-data.pdf | 55 | ter/STEM-ECR-v1.0/annotation-guidelines-for-scientific-linked-data.pdf | ||
40 | \"Guidelines\").\r\n\r\n###Supporting Publication\r\nD'Souza, J., | 56 | \"Guidelines\").\r\n\r\n###Supporting Publication\r\nD'Souza, J., | ||
41 | Hoppe, A., Brack, A., Jaradeh, M., Auer, S., & Ewerth, R. (2020). [The | 57 | Hoppe, A., Brack, A., Jaradeh, M., Auer, S., & Ewerth, R. (2020). [The | ||
42 | STEM-ECR Dataset: Grounding Scientific Entity References in STEM | 58 | STEM-ECR Dataset: Grounding Scientific Entity References in STEM | ||
43 | Scholarly Content to Authoritative Encyclopedic and Lexicographic | 59 | Scholarly Content to Authoritative Encyclopedic and Lexicographic | ||
44 | Sources](https://www.aclweb.org/anthology/2020.lrec-1.268). In | 60 | Sources](https://www.aclweb.org/anthology/2020.lrec-1.268). In | ||
45 | Proceedings of The 12th Language Resources and Evaluation Conference | 61 | Proceedings of The 12th Language Resources and Evaluation Conference | ||
46 | (pp. 2192\u20132203). European Language Resources | 62 | (pp. 2192\u20132203). European Language Resources | ||
47 | Association.\r\n\r\n###Useful Links\r\n* | 63 | Association.\r\n\r\n###Useful Links\r\n* | ||
48 | https://github.com/elsevierlabs/OA-STM-Corpus/\r\n* | 64 | https://github.com/elsevierlabs/OA-STM-Corpus/\r\n* | ||
49 | https://brat.nlplab.org/\r\n* | 65 | https://brat.nlplab.org/\r\n* | ||
50 | https://dumps.wikimedia.org/enwiki/20190920/\r\n* | 66 | https://dumps.wikimedia.org/enwiki/20190920/\r\n* | ||
51 | https://dumps.wikimedia.org/enwiktionary/20190920/\r\n* | 67 | https://dumps.wikimedia.org/enwiktionary/20190920/\r\n* | ||
52 | https://dkpro.github.io/dkpro-jwpl/\r\n* | 68 | https://dkpro.github.io/dkpro-jwpl/\r\n* | ||
53 | https://dkpro.github.io/dkpro-jwktl/\r\n* https://orkg.org/orkg", | 69 | https://dkpro.github.io/dkpro-jwktl/\r\n* https://orkg.org/orkg", | ||
54 | "num_resources": 2, | 70 | "num_resources": 2, | ||
55 | "num_tags": 7, | 71 | "num_tags": 7, | ||
56 | "organization": { | 72 | "organization": { | ||
57 | "approval_status": "approved", | 73 | "approval_status": "approved", | ||
58 | "created": "2017-11-23T17:30:37.757128", | 74 | "created": "2017-11-23T17:30:37.757128", | ||
59 | "description": "The German National Library of Science and | 75 | "description": "The German National Library of Science and | ||
60 | Technology, abbreviated TIB, is the national library of the Federal | 76 | Technology, abbreviated TIB, is the national library of the Federal | ||
61 | Republic of Germany for all fields of engineering, technology, and the | 77 | Republic of Germany for all fields of engineering, technology, and the | ||
62 | natural sciences.", | 78 | natural sciences.", | ||
63 | "id": "0c5362f5-b99e-41db-8256-3d0d7549bf4d", | 79 | "id": "0c5362f5-b99e-41db-8256-3d0d7549bf4d", | ||
64 | "image_url": | 80 | "image_url": | ||
65 | 3conf/ext/tib_tmpl_bootstrap/Resources/Public/images/TIB_Logo_en.png", | 81 | 3conf/ext/tib_tmpl_bootstrap/Resources/Public/images/TIB_Logo_en.png", | ||
66 | "is_organization": true, | 82 | "is_organization": true, | ||
67 | "name": "tib", | 83 | "name": "tib", | ||
68 | "state": "active", | 84 | "state": "active", | ||
69 | "title": "TIB", | 85 | "title": "TIB", | ||
70 | "type": "organization" | 86 | "type": "organization" | ||
71 | }, | 87 | }, | ||
72 | "owner_org": "0c5362f5-b99e-41db-8256-3d0d7549bf4d", | 88 | "owner_org": "0c5362f5-b99e-41db-8256-3d0d7549bf4d", | ||
73 | "private": false, | 89 | "private": false, | ||
74 | "relationships_as_object": [], | 90 | "relationships_as_object": [], | ||
75 | "relationships_as_subject": [], | 91 | "relationships_as_subject": [], | ||
76 | "repository_name": "Leibniz University Hannover", | 92 | "repository_name": "Leibniz University Hannover", | ||
77 | "resources": [ | 93 | "resources": [ | ||
78 | { | 94 | { | ||
79 | "cache_last_updated": null, | 95 | "cache_last_updated": null, | ||
80 | "cache_url": null, | 96 | "cache_url": null, | ||
81 | "created": "2020-02-13T13:08:18.655742", | 97 | "created": "2020-02-13T13:08:18.655742", | ||
82 | "description": "", | 98 | "description": "", | ||
83 | "format": "ZIP", | 99 | "format": "ZIP", | ||
84 | "hash": "", | 100 | "hash": "", | ||
85 | "id": "fc7cccac-3b90-480f-9523-8ac727e18900", | 101 | "id": "fc7cccac-3b90-480f-9523-8ac727e18900", | ||
86 | "last_modified": "2020-02-13T13:21:44.613089", | 102 | "last_modified": "2020-02-13T13:21:44.613089", | ||
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88 | "mimetype": "application/zip", | 104 | "mimetype": "application/zip", | ||
89 | "mimetype_inner": null, | 105 | "mimetype_inner": null, | ||
90 | "name": "Scientific Entity Annotations", | 106 | "name": "Scientific Entity Annotations", | ||
91 | "package_id": "0a4d8d4e-f881-48f5-82e8-20c2c635e8bd", | 107 | "package_id": "0a4d8d4e-f881-48f5-82e8-20c2c635e8bd", | ||
92 | "position": 0, | 108 | "position": 0, | ||
93 | "resource_type": null, | 109 | "resource_type": null, | ||
94 | "size": 10224852, | 110 | "size": 10224852, | ||
95 | "state": "active", | 111 | "state": "active", | ||
96 | "url": | 112 | "url": | ||
97 | 90-480f-9523-8ac727e18900/download/scientific_entity_annotations.zip", | 113 | 90-480f-9523-8ac727e18900/download/scientific_entity_annotations.zip", | ||
98 | "url_type": "" | 114 | "url_type": "" | ||
99 | }, | 115 | }, | ||
100 | { | 116 | { | ||
101 | "cache_last_updated": null, | 117 | "cache_last_updated": null, | ||
102 | "cache_url": null, | 118 | "cache_url": null, | ||
103 | "created": "2020-02-13T13:09:17.296000", | 119 | "created": "2020-02-13T13:09:17.296000", | ||
104 | "description": "", | 120 | "description": "", | ||
105 | "format": "ZIP", | 121 | "format": "ZIP", | ||
106 | "hash": "", | 122 | "hash": "", | ||
107 | "id": "72362aa4-27d7-48c5-a2c5-c22674b61813", | 123 | "id": "72362aa4-27d7-48c5-a2c5-c22674b61813", | ||
108 | "last_modified": "2020-02-13T13:25:24.392378", | 124 | "last_modified": "2020-02-13T13:25:24.392378", | ||
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110 | "mimetype": "application/zip", | 126 | "mimetype": "application/zip", | ||
111 | "mimetype_inner": null, | 127 | "mimetype_inner": null, | ||
112 | "name": "Entity Resolution Annotations", | 128 | "name": "Entity Resolution Annotations", | ||
113 | "package_id": "0a4d8d4e-f881-48f5-82e8-20c2c635e8bd", | 129 | "package_id": "0a4d8d4e-f881-48f5-82e8-20c2c635e8bd", | ||
114 | "position": 1, | 130 | "position": 1, | ||
115 | "resource_type": null, | 131 | "resource_type": null, | ||
116 | "size": 1469015, | 132 | "size": 1469015, | ||
117 | "state": "active", | 133 | "state": "active", | ||
118 | "url": | 134 | "url": | ||
119 | d7-48c5-a2c5-c22674b61813/download/entity_resolution_annotations.zip", | 135 | d7-48c5-a2c5-c22674b61813/download/entity_resolution_annotations.zip", | ||
120 | "url_type": "" | 136 | "url_type": "" | ||
121 | } | 137 | } | ||
122 | ], | 138 | ], | ||
t | t | 139 | "services_used_list": "", | ||
123 | "source_metadata_created": "2020-02-13T12:57:09.939518", | 140 | "source_metadata_created": "2020-02-13T12:57:09.939518", | ||
124 | "source_metadata_modified": "2022-01-20T11:00:07.087172", | 141 | "source_metadata_modified": "2022-01-20T11:00:07.087172", | ||
125 | "state": "active", | 142 | "state": "active", | ||
126 | "tags": [ | 143 | "tags": [ | ||
127 | { | 144 | { | ||
128 | "display_name": "entity classification", | 145 | "display_name": "entity classification", | ||
129 | "id": "3e4235c4-6e2c-4915-aa12-60c2fedb9e43", | 146 | "id": "3e4235c4-6e2c-4915-aa12-60c2fedb9e43", | ||
130 | "name": "entity classification", | 147 | "name": "entity classification", | ||
131 | "state": "active", | 148 | "state": "active", | ||
132 | "vocabulary_id": null | 149 | "vocabulary_id": null | ||
133 | }, | 150 | }, | ||
134 | { | 151 | { | ||
135 | "display_name": "entity linking", | 152 | "display_name": "entity linking", | ||
136 | "id": "5ab0359d-b2b8-41b6-a4ed-84d6f26737fe", | 153 | "id": "5ab0359d-b2b8-41b6-a4ed-84d6f26737fe", | ||
137 | "name": "entity linking", | 154 | "name": "entity linking", | ||
138 | "state": "active", | 155 | "state": "active", | ||
139 | "vocabulary_id": null | 156 | "vocabulary_id": null | ||
140 | }, | 157 | }, | ||
141 | { | 158 | { | ||
142 | "display_name": "entity recognition", | 159 | "display_name": "entity recognition", | ||
143 | "id": "fc03c9dd-f1f5-46b5-85b7-6c0c696b66c6", | 160 | "id": "fc03c9dd-f1f5-46b5-85b7-6c0c696b66c6", | ||
144 | "name": "entity recognition", | 161 | "name": "entity recognition", | ||
145 | "state": "active", | 162 | "state": "active", | ||
146 | "vocabulary_id": null | 163 | "vocabulary_id": null | ||
147 | }, | 164 | }, | ||
148 | { | 165 | { | ||
149 | "display_name": "entity resolution", | 166 | "display_name": "entity resolution", | ||
150 | "id": "de6c1417-0f73-42a0-b1d8-cb461e039ecb", | 167 | "id": "de6c1417-0f73-42a0-b1d8-cb461e039ecb", | ||
151 | "name": "entity resolution", | 168 | "name": "entity resolution", | ||
152 | "state": "active", | 169 | "state": "active", | ||
153 | "vocabulary_id": null | 170 | "vocabulary_id": null | ||
154 | }, | 171 | }, | ||
155 | { | 172 | { | ||
156 | "display_name": "evaluation corpus", | 173 | "display_name": "evaluation corpus", | ||
157 | "id": "e18bfbea-e418-4aca-acef-fa2087bc77b0", | 174 | "id": "e18bfbea-e418-4aca-acef-fa2087bc77b0", | ||
158 | "name": "evaluation corpus", | 175 | "name": "evaluation corpus", | ||
159 | "state": "active", | 176 | "state": "active", | ||
160 | "vocabulary_id": null | 177 | "vocabulary_id": null | ||
161 | }, | 178 | }, | ||
162 | { | 179 | { | ||
163 | "display_name": "language resource", | 180 | "display_name": "language resource", | ||
164 | "id": "95e3d7f3-d046-428b-98c7-93653d23a183", | 181 | "id": "95e3d7f3-d046-428b-98c7-93653d23a183", | ||
165 | "name": "language resource", | 182 | "name": "language resource", | ||
166 | "state": "active", | 183 | "state": "active", | ||
167 | "vocabulary_id": null | 184 | "vocabulary_id": null | ||
168 | }, | 185 | }, | ||
169 | { | 186 | { | ||
170 | "display_name": "word sense disambiguation", | 187 | "display_name": "word sense disambiguation", | ||
171 | "id": "0f9b6e24-3a99-454f-afb9-ab4fb6f22e9d", | 188 | "id": "0f9b6e24-3a99-454f-afb9-ab4fb6f22e9d", | ||
172 | "name": "word sense disambiguation", | 189 | "name": "word sense disambiguation", | ||
173 | "state": "active", | 190 | "state": "active", | ||
174 | "vocabulary_id": null | 191 | "vocabulary_id": null | ||
175 | } | 192 | } | ||
176 | ], | 193 | ], | ||
177 | "terms_of_usage": "Yes", | 194 | "terms_of_usage": "Yes", | ||
178 | "title": "STEM-ECR-v1.0", | 195 | "title": "STEM-ECR-v1.0", | ||
179 | "type": "vdataset", | 196 | "type": "vdataset", | ||
180 | "url": "https://data.uni-hannover.de/dataset/stem-ecr-v1-0", | 197 | "url": "https://data.uni-hannover.de/dataset/stem-ecr-v1-0", | ||
181 | "version": "1.0" | 198 | "version": "1.0" | ||
182 | } | 199 | } |