Changes
On December 2, 2024 at 10:22:56 PM UTC, admin:
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Changed value of field
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toTrue
in CaseEncoder: A Knowledge-enhanced Pre-trained Model for Legal Case Encoding -
Changed value of field
doi_date_published
to2024-12-02
in CaseEncoder: A Knowledge-enhanced Pre-trained Model for Legal Case Encoding -
Added resource Original Metadata to CaseEncoder: A Knowledge-enhanced Pre-trained Model for Legal Case Encoding
f | 1 | { | f | 1 | { |
2 | "access_rights": "", | 2 | "access_rights": "", | ||
3 | "author": "Yixiao Ma", | 3 | "author": "Yixiao Ma", | ||
4 | "author_email": "", | 4 | "author_email": "", | ||
5 | "citation": [], | 5 | "citation": [], | ||
6 | "creator_user_id": "17755db4-395a-4b3b-ac09-e8e3484ca700", | 6 | "creator_user_id": "17755db4-395a-4b3b-ac09-e8e3484ca700", | ||
7 | "defined_in": "https://doi.org/10.48550/arXiv.2305.05393", | 7 | "defined_in": "https://doi.org/10.48550/arXiv.2305.05393", | ||
8 | "doi": "10.57702/0z7hte1r", | 8 | "doi": "10.57702/0z7hte1r", | ||
n | 9 | "doi_date_published": null, | n | 9 | "doi_date_published": "2024-12-02", |
10 | "doi_publisher": "TIB", | 10 | "doi_publisher": "TIB", | ||
n | 11 | "doi_status": false, | n | 11 | "doi_status": true, |
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": "Yueyue Wu", | 15 | "extra_author": "Yueyue Wu", | ||
16 | "orcid": "" | 16 | "orcid": "" | ||
17 | }, | 17 | }, | ||
18 | { | 18 | { | ||
19 | "extra_author": "Weihang Su", | 19 | "extra_author": "Weihang Su", | ||
20 | "orcid": "" | 20 | "orcid": "" | ||
21 | }, | 21 | }, | ||
22 | { | 22 | { | ||
23 | "extra_author": "Qingyao Ai", | 23 | "extra_author": "Qingyao Ai", | ||
24 | "orcid": "" | 24 | "orcid": "" | ||
25 | }, | 25 | }, | ||
26 | { | 26 | { | ||
27 | "extra_author": "Yiqun Liu", | 27 | "extra_author": "Yiqun Liu", | ||
28 | "orcid": "" | 28 | "orcid": "" | ||
29 | } | 29 | } | ||
30 | ], | 30 | ], | ||
31 | "groups": [ | 31 | "groups": [ | ||
32 | { | 32 | { | ||
33 | "description": "", | 33 | "description": "", | ||
34 | "display_name": "Legal Case Retrieval", | 34 | "display_name": "Legal Case Retrieval", | ||
35 | "id": "944580cb-ab06-4595-b2af-68b806e4670b", | 35 | "id": "944580cb-ab06-4595-b2af-68b806e4670b", | ||
36 | "image_display_url": "", | 36 | "image_display_url": "", | ||
37 | "name": "legal-case-retrieval", | 37 | "name": "legal-case-retrieval", | ||
38 | "title": "Legal Case Retrieval" | 38 | "title": "Legal Case Retrieval" | ||
39 | }, | 39 | }, | ||
40 | { | 40 | { | ||
41 | "description": "", | 41 | "description": "", | ||
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44 | "image_display_url": "", | 44 | "image_display_url": "", | ||
45 | "name": "question-answering", | 45 | "name": "question-answering", | ||
46 | "title": "Question Answering" | 46 | "title": "Question Answering" | ||
47 | } | 47 | } | ||
48 | ], | 48 | ], | ||
49 | "id": "c321aa4a-7ad4-4647-80f2-615a418713a8", | 49 | "id": "c321aa4a-7ad4-4647-80f2-615a418713a8", | ||
50 | "isopen": false, | 50 | "isopen": false, | ||
51 | "landing_page": "https://arxiv.org/abs/2104.10726", | 51 | "landing_page": "https://arxiv.org/abs/2104.10726", | ||
52 | "license_title": null, | 52 | "license_title": null, | ||
53 | "link_orkg": "", | 53 | "link_orkg": "", | ||
54 | "metadata_created": "2024-12-02T22:22:55.124646", | 54 | "metadata_created": "2024-12-02T22:22:55.124646", | ||
n | 55 | "metadata_modified": "2024-12-02T22:22:55.124651", | n | 55 | "metadata_modified": "2024-12-02T22:22:55.640661", |
56 | "name": | 56 | "name": | ||
57 | oder--a-knowledge-enhanced-pre-trained-model-for-legal-case-encoding", | 57 | oder--a-knowledge-enhanced-pre-trained-model-for-legal-case-encoding", | ||
58 | "notes": "Legal case retrieval is a critical process for modern | 58 | "notes": "Legal case retrieval is a critical process for modern | ||
59 | legal information systems. This paper proposes CaseEncoder, a | 59 | legal information systems. This paper proposes CaseEncoder, a | ||
60 | pre-trained encoder that utilizes fine-grained legal knowledge to | 60 | pre-trained encoder that utilizes fine-grained legal knowledge to | ||
61 | enhance the representation of case document embeddings.", | 61 | enhance the representation of case document embeddings.", | ||
n | 62 | "num_resources": 0, | n | 62 | "num_resources": 1, |
63 | "num_tags": 3, | 63 | "num_tags": 3, | ||
64 | "organization": { | 64 | "organization": { | ||
65 | "approval_status": "approved", | 65 | "approval_status": "approved", | ||
66 | "created": "2024-11-25T12:11:38.292601", | 66 | "created": "2024-11-25T12:11:38.292601", | ||
67 | "description": "", | 67 | "description": "", | ||
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69 | "image_url": "", | 69 | "image_url": "", | ||
70 | "is_organization": true, | 70 | "is_organization": true, | ||
71 | "name": "no-organization", | 71 | "name": "no-organization", | ||
72 | "state": "active", | 72 | "state": "active", | ||
73 | "title": "No Organization", | 73 | "title": "No Organization", | ||
74 | "type": "organization" | 74 | "type": "organization" | ||
75 | }, | 75 | }, | ||
76 | "owner_org": "079d46db-32df-4b48-91f3-0a8bc8f69559", | 76 | "owner_org": "079d46db-32df-4b48-91f3-0a8bc8f69559", | ||
77 | "private": false, | 77 | "private": false, | ||
78 | "relationships_as_object": [], | 78 | "relationships_as_object": [], | ||
79 | "relationships_as_subject": [], | 79 | "relationships_as_subject": [], | ||
t | 80 | "resources": [], | t | 80 | "resources": [ |
81 | { | ||||
82 | "cache_last_updated": null, | ||||
83 | "cache_url": null, | ||||
84 | "created": "2024-12-02T22:29:38", | ||||
85 | "data": [ | ||||
86 | "dcterms:title", | ||||
87 | "dcterms:accessRights", | ||||
88 | "dcterms:creator", | ||||
89 | "dcterms:description", | ||||
90 | "dcterms:issued", | ||||
91 | "dcterms:language", | ||||
92 | "dcterms:identifier", | ||||
93 | "dcat:theme", | ||||
94 | "dcterms:type", | ||||
95 | "dcat:keyword", | ||||
96 | "dcat:landingPage", | ||||
97 | "dcterms:hasVersion", | ||||
98 | "dcterms:format", | ||||
99 | "mls:task", | ||||
100 | "datacite:isDescribedBy" | ||||
101 | ], | ||||
102 | "description": "The json representation of the dataset with its | ||||
103 | distributions based on DCAT.", | ||||
104 | "format": "JSON", | ||||
105 | "hash": "", | ||||
106 | "id": "27564792-ecc5-4373-af8e-fd91011c8222", | ||||
107 | "last_modified": "2024-12-02T22:22:55.633539", | ||||
108 | "metadata_modified": "2024-12-02T22:22:55.643417", | ||||
109 | "mimetype": "application/json", | ||||
110 | "mimetype_inner": null, | ||||
111 | "name": "Original Metadata", | ||||
112 | "package_id": "c321aa4a-7ad4-4647-80f2-615a418713a8", | ||||
113 | "position": 0, | ||||
114 | "resource_type": null, | ||||
115 | "size": 955, | ||||
116 | "state": "active", | ||||
117 | "url": | ||||
118 | resource/27564792-ecc5-4373-af8e-fd91011c8222/download/metadata.json", | ||||
119 | "url_type": "upload" | ||||
120 | } | ||||
121 | ], | ||||
81 | "services_used_list": "", | 122 | "services_used_list": "", | ||
82 | "state": "active", | 123 | "state": "active", | ||
83 | "tags": [ | 124 | "tags": [ | ||
84 | { | 125 | { | ||
85 | "display_name": "case document embeddings", | 126 | "display_name": "case document embeddings", | ||
86 | "id": "749e176a-acfa-493b-9604-2edcc3fb30c5", | 127 | "id": "749e176a-acfa-493b-9604-2edcc3fb30c5", | ||
87 | "name": "case document embeddings", | 128 | "name": "case document embeddings", | ||
88 | "state": "active", | 129 | "state": "active", | ||
89 | "vocabulary_id": null | 130 | "vocabulary_id": null | ||
90 | }, | 131 | }, | ||
91 | { | 132 | { | ||
92 | "display_name": "fine-grained legal knowledge", | 133 | "display_name": "fine-grained legal knowledge", | ||
93 | "id": "ac61005c-7ffe-471b-8bb2-3a59304e8528", | 134 | "id": "ac61005c-7ffe-471b-8bb2-3a59304e8528", | ||
94 | "name": "fine-grained legal knowledge", | 135 | "name": "fine-grained legal knowledge", | ||
95 | "state": "active", | 136 | "state": "active", | ||
96 | "vocabulary_id": null | 137 | "vocabulary_id": null | ||
97 | }, | 138 | }, | ||
98 | { | 139 | { | ||
99 | "display_name": "legal case retrieval", | 140 | "display_name": "legal case retrieval", | ||
100 | "id": "238fea82-e682-4e0b-9f88-57ade0d0c558", | 141 | "id": "238fea82-e682-4e0b-9f88-57ade0d0c558", | ||
101 | "name": "legal case retrieval", | 142 | "name": "legal case retrieval", | ||
102 | "state": "active", | 143 | "state": "active", | ||
103 | "vocabulary_id": null | 144 | "vocabulary_id": null | ||
104 | } | 145 | } | ||
105 | ], | 146 | ], | ||
106 | "title": "CaseEncoder: A Knowledge-enhanced Pre-trained Model for | 147 | "title": "CaseEncoder: A Knowledge-enhanced Pre-trained Model for | ||
107 | Legal Case Encoding", | 148 | Legal Case Encoding", | ||
108 | "type": "dataset", | 149 | "type": "dataset", | ||
109 | "version": "" | 150 | "version": "" | ||
110 | } | 151 | } |