Changes
On December 16, 2024 at 11:01:04 PM UTC, admin:
-
Changed value of field
doi_status
toTrue
in Sub-sentence encoder -
Changed value of field
doi_date_published
to2024-12-16
in Sub-sentence encoder -
Added resource Original Metadata to Sub-sentence encoder
f | 1 | { | f | 1 | { |
2 | "access_rights": "", | 2 | "access_rights": "", | ||
3 | "author": "Sihao Chen", | 3 | "author": "Sihao Chen", | ||
4 | "author_email": "", | 4 | "author_email": "", | ||
5 | "citation": [], | 5 | "citation": [], | ||
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7 | "defined_in": "https://doi.org/10.48550/arXiv.2311.04335", | 7 | "defined_in": "https://doi.org/10.48550/arXiv.2311.04335", | ||
8 | "doi": "10.57702/vmmp88gl", | 8 | "doi": "10.57702/vmmp88gl", | ||
n | 9 | "doi_date_published": null, | n | 9 | "doi_date_published": "2024-12-16", |
10 | "doi_publisher": "TIB", | 10 | "doi_publisher": "TIB", | ||
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12 | "domain": "https://service.tib.eu/ldmservice", | 12 | "domain": "https://service.tib.eu/ldmservice", | ||
13 | "extra_authors": [ | 13 | "extra_authors": [ | ||
14 | { | 14 | { | ||
15 | "extra_author": "Hongming Zhang", | 15 | "extra_author": "Hongming Zhang", | ||
16 | "orcid": "" | 16 | "orcid": "" | ||
17 | }, | 17 | }, | ||
18 | { | 18 | { | ||
19 | "extra_author": "Tong Chen", | 19 | "extra_author": "Tong Chen", | ||
20 | "orcid": "" | 20 | "orcid": "" | ||
21 | }, | 21 | }, | ||
22 | { | 22 | { | ||
23 | "extra_author": "Ben Zhou", | 23 | "extra_author": "Ben Zhou", | ||
24 | "orcid": "" | 24 | "orcid": "" | ||
25 | }, | 25 | }, | ||
26 | { | 26 | { | ||
27 | "extra_author": "Wenhao Yu", | 27 | "extra_author": "Wenhao Yu", | ||
28 | "orcid": "" | 28 | "orcid": "" | ||
29 | }, | 29 | }, | ||
30 | { | 30 | { | ||
31 | "extra_author": "Dian Yu", | 31 | "extra_author": "Dian Yu", | ||
32 | "orcid": "" | 32 | "orcid": "" | ||
33 | }, | 33 | }, | ||
34 | { | 34 | { | ||
35 | "extra_author": "Baolin Peng", | 35 | "extra_author": "Baolin Peng", | ||
36 | "orcid": "" | 36 | "orcid": "" | ||
37 | }, | 37 | }, | ||
38 | { | 38 | { | ||
39 | "extra_author": "Hongwei Wang", | 39 | "extra_author": "Hongwei Wang", | ||
40 | "orcid": "" | 40 | "orcid": "" | ||
41 | }, | 41 | }, | ||
42 | { | 42 | { | ||
43 | "extra_author": "Dan Roth", | 43 | "extra_author": "Dan Roth", | ||
44 | "orcid": "" | 44 | "orcid": "" | ||
45 | }, | 45 | }, | ||
46 | { | 46 | { | ||
47 | "extra_author": "Dong Yu", | 47 | "extra_author": "Dong Yu", | ||
48 | "orcid": "" | 48 | "orcid": "" | ||
49 | } | 49 | } | ||
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57 | "name": "question-answering", | 57 | "name": "question-answering", | ||
58 | "title": "Question Answering" | 58 | "title": "Question Answering" | ||
59 | }, | 59 | }, | ||
60 | { | 60 | { | ||
61 | "description": "", | 61 | "description": "", | ||
62 | "display_name": "Text retrieval", | 62 | "display_name": "Text retrieval", | ||
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64 | "image_display_url": "", | 64 | "image_display_url": "", | ||
65 | "name": "text-retrieval", | 65 | "name": "text-retrieval", | ||
66 | "title": "Text retrieval" | 66 | "title": "Text retrieval" | ||
67 | } | 67 | } | ||
68 | ], | 68 | ], | ||
69 | "id": "ede9df94-e9c8-42dc-a05f-e12775362110", | 69 | "id": "ede9df94-e9c8-42dc-a05f-e12775362110", | ||
70 | "isopen": false, | 70 | "isopen": false, | ||
71 | "landing_page": "https://github.com/schen149/sub-sentence-encoder", | 71 | "landing_page": "https://github.com/schen149/sub-sentence-encoder", | ||
72 | "license_title": null, | 72 | "license_title": null, | ||
73 | "link_orkg": "", | 73 | "link_orkg": "", | ||
74 | "metadata_created": "2024-12-16T23:01:02.104075", | 74 | "metadata_created": "2024-12-16T23:01:02.104075", | ||
n | 75 | "metadata_modified": "2024-12-16T23:01:02.104081", | n | 75 | "metadata_modified": "2024-12-16T23:01:02.777659", |
76 | "name": "sub-sentence-encoder", | 76 | "name": "sub-sentence-encoder", | ||
77 | "notes": "The sub-sentence encoder is a contrastive learning | 77 | "notes": "The sub-sentence encoder is a contrastive learning | ||
78 | framework for learning contextual embeddings for semantic units on the | 78 | framework for learning contextual embeddings for semantic units on the | ||
79 | sub-sentence level.", | 79 | sub-sentence level.", | ||
n | 80 | "num_resources": 0, | n | 80 | "num_resources": 1, |
81 | "num_tags": 4, | 81 | "num_tags": 4, | ||
82 | "organization": { | 82 | "organization": { | ||
83 | "approval_status": "approved", | 83 | "approval_status": "approved", | ||
84 | "created": "2024-11-25T12:11:38.292601", | 84 | "created": "2024-11-25T12:11:38.292601", | ||
85 | "description": "", | 85 | "description": "", | ||
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89 | "name": "no-organization", | 89 | "name": "no-organization", | ||
90 | "state": "active", | 90 | "state": "active", | ||
91 | "title": "No Organization", | 91 | "title": "No Organization", | ||
92 | "type": "organization" | 92 | "type": "organization" | ||
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95 | "private": false, | 95 | "private": false, | ||
96 | "relationships_as_object": [], | 96 | "relationships_as_object": [], | ||
97 | "relationships_as_subject": [], | 97 | "relationships_as_subject": [], | ||
t | 98 | "resources": [], | t | 98 | "resources": [ |
99 | { | ||||
100 | "cache_last_updated": null, | ||||
101 | "cache_url": null, | ||||
102 | "created": "2024-12-16T23:37:08", | ||||
103 | "data": [ | ||||
104 | "dcterms:title", | ||||
105 | "dcterms:accessRights", | ||||
106 | "dcterms:creator", | ||||
107 | "dcterms:description", | ||||
108 | "dcterms:issued", | ||||
109 | "dcterms:language", | ||||
110 | "dcterms:identifier", | ||||
111 | "dcat:theme", | ||||
112 | "dcterms:type", | ||||
113 | "dcat:keyword", | ||||
114 | "dcat:landingPage", | ||||
115 | "dcterms:hasVersion", | ||||
116 | "dcterms:format", | ||||
117 | "mls:task", | ||||
118 | "datacite:isDescribedBy" | ||||
119 | ], | ||||
120 | "description": "The json representation of the dataset with its | ||||
121 | distributions based on DCAT.", | ||||
122 | "format": "JSON", | ||||
123 | "hash": "", | ||||
124 | "id": "85c2c5db-22be-4bbe-a962-07d35ddf7138", | ||||
125 | "last_modified": "2024-12-16T23:01:02.769465", | ||||
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127 | "mimetype": "application/json", | ||||
128 | "mimetype_inner": null, | ||||
129 | "name": "Original Metadata", | ||||
130 | "package_id": "ede9df94-e9c8-42dc-a05f-e12775362110", | ||||
131 | "position": 0, | ||||
132 | "resource_type": null, | ||||
133 | "size": 918, | ||||
134 | "state": "active", | ||||
135 | "url": | ||||
136 | resource/85c2c5db-22be-4bbe-a962-07d35ddf7138/download/metadata.json", | ||||
137 | "url_type": "upload" | ||||
138 | } | ||||
139 | ], | ||||
99 | "services_used_list": "", | 140 | "services_used_list": "", | ||
100 | "state": "active", | 141 | "state": "active", | ||
101 | "tags": [ | 142 | "tags": [ | ||
102 | { | 143 | { | ||
103 | "display_name": "contrastive learning", | 144 | "display_name": "contrastive learning", | ||
104 | "id": "74000786-0a7d-485e-a5e9-edee3834ea39", | 145 | "id": "74000786-0a7d-485e-a5e9-edee3834ea39", | ||
105 | "name": "contrastive learning", | 146 | "name": "contrastive learning", | ||
106 | "state": "active", | 147 | "state": "active", | ||
107 | "vocabulary_id": null | 148 | "vocabulary_id": null | ||
108 | }, | 149 | }, | ||
109 | { | 150 | { | ||
110 | "display_name": "semantic units", | 151 | "display_name": "semantic units", | ||
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113 | "state": "active", | 154 | "state": "active", | ||
114 | "vocabulary_id": null | 155 | "vocabulary_id": null | ||
115 | }, | 156 | }, | ||
116 | { | 157 | { | ||
117 | "display_name": "sub-sentence encoder", | 158 | "display_name": "sub-sentence encoder", | ||
118 | "id": "326526a2-54ed-4973-b9a0-cb6d7e3593ae", | 159 | "id": "326526a2-54ed-4973-b9a0-cb6d7e3593ae", | ||
119 | "name": "sub-sentence encoder", | 160 | "name": "sub-sentence encoder", | ||
120 | "state": "active", | 161 | "state": "active", | ||
121 | "vocabulary_id": null | 162 | "vocabulary_id": null | ||
122 | }, | 163 | }, | ||
123 | { | 164 | { | ||
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128 | "vocabulary_id": null | 169 | "vocabulary_id": null | ||
129 | } | 170 | } | ||
130 | ], | 171 | ], | ||
131 | "title": "Sub-sentence encoder", | 172 | "title": "Sub-sentence encoder", | ||
132 | "type": "dataset", | 173 | "type": "dataset", | ||
133 | "version": "" | 174 | "version": "" | ||
134 | } | 175 | } |