Changes
On January 2, 2025 at 11:48:14 PM UTC, admin:
-
Changed value of field
doi_date_published
to2025-01-02
in Linguistically Conditioned Semantic Textual Similarity -
Changed value of field
doi_status
toTrue
in Linguistically Conditioned Semantic Textual Similarity -
Added resource Original Metadata to Linguistically Conditioned Semantic Textual Similarity
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3 | "author": "Jingxuan Tu", | 3 | "author": "Jingxuan Tu", | ||
4 | "author_email": "", | 4 | "author_email": "", | ||
5 | "citation": [], | 5 | "citation": [], | ||
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7 | "defined_in": "https://doi.org/10.48550/arXiv.2406.03673", | 7 | "defined_in": "https://doi.org/10.48550/arXiv.2406.03673", | ||
8 | "doi": "10.57702/w30y94lu", | 8 | "doi": "10.57702/w30y94lu", | ||
n | 9 | "doi_date_published": null, | n | 9 | "doi_date_published": "2025-01-02", |
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13 | "extra_authors": [ | 13 | "extra_authors": [ | ||
14 | { | 14 | { | ||
15 | "extra_author": "Keer Xu", | 15 | "extra_author": "Keer Xu", | ||
16 | "orcid": "" | 16 | "orcid": "" | ||
17 | }, | 17 | }, | ||
18 | { | 18 | { | ||
19 | "extra_author": "Liulu Yue", | 19 | "extra_author": "Liulu Yue", | ||
20 | "orcid": "" | 20 | "orcid": "" | ||
21 | }, | 21 | }, | ||
22 | { | 22 | { | ||
23 | "extra_author": "Bingyang Ye", | 23 | "extra_author": "Bingyang Ye", | ||
24 | "orcid": "" | 24 | "orcid": "" | ||
25 | }, | 25 | }, | ||
26 | { | 26 | { | ||
27 | "extra_author": "Kyeongmin Rim", | 27 | "extra_author": "Kyeongmin Rim", | ||
28 | "orcid": "" | 28 | "orcid": "" | ||
29 | }, | 29 | }, | ||
30 | { | 30 | { | ||
31 | "extra_author": "James Pustejovsky", | 31 | "extra_author": "James Pustejovsky", | ||
32 | "orcid": "" | 32 | "orcid": "" | ||
33 | } | 33 | } | ||
34 | ], | 34 | ], | ||
35 | "groups": [ | 35 | "groups": [ | ||
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43 | }, | 43 | }, | ||
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45 | "description": "", | 45 | "description": "", | ||
46 | "display_name": "Semantic Textual Similarity", | 46 | "display_name": "Semantic Textual Similarity", | ||
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48 | "image_display_url": "", | 48 | "image_display_url": "", | ||
49 | "name": "semantic-textual-similarity", | 49 | "name": "semantic-textual-similarity", | ||
50 | "title": "Semantic Textual Similarity" | 50 | "title": "Semantic Textual Similarity" | ||
51 | } | 51 | } | ||
52 | ], | 52 | ], | ||
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54 | "isopen": false, | 54 | "isopen": false, | ||
55 | "landing_page": "https://github.com/brandeis-llc/L-CSTS", | 55 | "landing_page": "https://github.com/brandeis-llc/L-CSTS", | ||
56 | "license_title": null, | 56 | "license_title": null, | ||
57 | "link_orkg": "", | 57 | "link_orkg": "", | ||
58 | "metadata_created": "2025-01-02T23:48:13.227799", | 58 | "metadata_created": "2025-01-02T23:48:13.227799", | ||
n | 59 | "metadata_modified": "2025-01-02T23:48:13.227805", | n | 59 | "metadata_modified": "2025-01-02T23:48:13.732557", |
60 | "name": "linguistically-conditioned-semantic-textual-similarity", | 60 | "name": "linguistically-conditioned-semantic-textual-similarity", | ||
61 | "notes": "Semantic textual similarity (STS) is a fundamental NLP | 61 | "notes": "Semantic textual similarity (STS) is a fundamental NLP | ||
62 | task that measures the semantic similarity between a pair of | 62 | task that measures the semantic similarity between a pair of | ||
63 | sentences. In order to reduce the inherent ambiguity posed from the | 63 | sentences. In order to reduce the inherent ambiguity posed from the | ||
64 | sentences, a recent work called Conditional STS (C-STS) has been | 64 | sentences, a recent work called Conditional STS (C-STS) has been | ||
65 | proposed to measure the sentences' similarity conditioned on a certain | 65 | proposed to measure the sentences' similarity conditioned on a certain | ||
66 | aspect. Despite the popularity of C-STS, we find that the current | 66 | aspect. Despite the popularity of C-STS, we find that the current | ||
67 | C-STS dataset suffers from various issues that could impede proper | 67 | C-STS dataset suffers from various issues that could impede proper | ||
68 | evaluation on this task.", | 68 | evaluation on this task.", | ||
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70 | "num_tags": 5, | 70 | "num_tags": 5, | ||
71 | "organization": { | 71 | "organization": { | ||
72 | "approval_status": "approved", | 72 | "approval_status": "approved", | ||
73 | "created": "2024-11-25T12:11:38.292601", | 73 | "created": "2024-11-25T12:11:38.292601", | ||
74 | "description": "", | 74 | "description": "", | ||
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79 | "state": "active", | 79 | "state": "active", | ||
80 | "title": "No Organization", | 80 | "title": "No Organization", | ||
81 | "type": "organization" | 81 | "type": "organization" | ||
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83 | "owner_org": "079d46db-32df-4b48-91f3-0a8bc8f69559", | 83 | "owner_org": "079d46db-32df-4b48-91f3-0a8bc8f69559", | ||
84 | "private": false, | 84 | "private": false, | ||
85 | "relationships_as_object": [], | 85 | "relationships_as_object": [], | ||
86 | "relationships_as_subject": [], | 86 | "relationships_as_subject": [], | ||
t | 87 | "resources": [], | t | 87 | "resources": [ |
88 | { | ||||
89 | "cache_last_updated": null, | ||||
90 | "cache_url": null, | ||||
91 | "created": "2025-01-03T00:16:30", | ||||
92 | "data": [ | ||||
93 | "dcterms:title", | ||||
94 | "dcterms:accessRights", | ||||
95 | "dcterms:creator", | ||||
96 | "dcterms:description", | ||||
97 | "dcterms:issued", | ||||
98 | "dcterms:language", | ||||
99 | "dcterms:identifier", | ||||
100 | "dcat:theme", | ||||
101 | "dcterms:type", | ||||
102 | "dcat:keyword", | ||||
103 | "dcat:landingPage", | ||||
104 | "dcterms:hasVersion", | ||||
105 | "dcterms:format", | ||||
106 | "mls:task", | ||||
107 | "datacite:isDescribedBy" | ||||
108 | ], | ||||
109 | "description": "The json representation of the dataset with its | ||||
110 | distributions based on DCAT.", | ||||
111 | "format": "JSON", | ||||
112 | "hash": "", | ||||
113 | "id": "58942e38-1624-418a-ad4e-0feda480e25f", | ||||
114 | "last_modified": "2025-01-02T23:48:13.724968", | ||||
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116 | "mimetype": "application/json", | ||||
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118 | "name": "Original Metadata", | ||||
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123 | "state": "active", | ||||
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125 | resource/58942e38-1624-418a-ad4e-0feda480e25f/download/metadata.json", | ||||
126 | "url_type": "upload" | ||||
127 | } | ||||
128 | ], | ||||
88 | "services_used_list": "", | 129 | "services_used_list": "", | ||
89 | "state": "active", | 130 | "state": "active", | ||
90 | "tags": [ | 131 | "tags": [ | ||
91 | { | 132 | { | ||
92 | "display_name": "conditional", | 133 | "display_name": "conditional", | ||
93 | "id": "ebbf8e94-35d1-4665-a861-cee6854b73d5", | 134 | "id": "ebbf8e94-35d1-4665-a861-cee6854b73d5", | ||
94 | "name": "conditional", | 135 | "name": "conditional", | ||
95 | "state": "active", | 136 | "state": "active", | ||
96 | "vocabulary_id": null | 137 | "vocabulary_id": null | ||
97 | }, | 138 | }, | ||
98 | { | 139 | { | ||
99 | "display_name": "linguistically", | 140 | "display_name": "linguistically", | ||
100 | "id": "4be63929-1d6a-43cf-8967-8c73776b8fe4", | 141 | "id": "4be63929-1d6a-43cf-8967-8c73776b8fe4", | ||
101 | "name": "linguistically", | 142 | "name": "linguistically", | ||
102 | "state": "active", | 143 | "state": "active", | ||
103 | "vocabulary_id": null | 144 | "vocabulary_id": null | ||
104 | }, | 145 | }, | ||
105 | { | 146 | { | ||
106 | "display_name": "semantic", | 147 | "display_name": "semantic", | ||
107 | "id": "41072dcc-d997-419d-bb69-db105cb53633", | 148 | "id": "41072dcc-d997-419d-bb69-db105cb53633", | ||
108 | "name": "semantic", | 149 | "name": "semantic", | ||
109 | "state": "active", | 150 | "state": "active", | ||
110 | "vocabulary_id": null | 151 | "vocabulary_id": null | ||
111 | }, | 152 | }, | ||
112 | { | 153 | { | ||
113 | "display_name": "similarity", | 154 | "display_name": "similarity", | ||
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116 | "state": "active", | 157 | "state": "active", | ||
117 | "vocabulary_id": null | 158 | "vocabulary_id": null | ||
118 | }, | 159 | }, | ||
119 | { | 160 | { | ||
120 | "display_name": "textual", | 161 | "display_name": "textual", | ||
121 | "id": "1b0258bf-2bc9-4e0f-96ad-465cc47bd398", | 162 | "id": "1b0258bf-2bc9-4e0f-96ad-465cc47bd398", | ||
122 | "name": "textual", | 163 | "name": "textual", | ||
123 | "state": "active", | 164 | "state": "active", | ||
124 | "vocabulary_id": null | 165 | "vocabulary_id": null | ||
125 | } | 166 | } | ||
126 | ], | 167 | ], | ||
127 | "title": "Linguistically Conditioned Semantic Textual Similarity", | 168 | "title": "Linguistically Conditioned Semantic Textual Similarity", | ||
128 | "type": "dataset", | 169 | "type": "dataset", | ||
129 | "version": "" | 170 | "version": "" | ||
130 | } | 171 | } |