About: CrossRE: A Cross-Domain Dataset for Relation Extraction

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About: CrossRE: A Cross-Domain Dataset for Relation Extraction Goto Sponge NotDistinct Permalink

An Entity of Type : wikibase:Item, within Data Space : wikidata.demo.openlinksw.com associated with source document(s)

Attributes	Values
rdf:type	Item
description	article scientifique publié en 2022 (fr)
publication date	wds:Q119525793-e33ad6f6-4466-0d9c-65f3-0252794f9ef0
publication date	2022-12-01 00:00:00Z (xsd:dateTime)
language of work or name	wds:Q119525793-148643a1-49ff-0f05-ebc7-d28485ad99ef
language of work or name	English
cites work	wds:Q119525793-0f9bc2aa-4cc8-05bb-6fd4-4dd245860ccf wds:Q119525793-3fe35b00-4178-5e2a-da89-0c022b796d10 wds:Q119525793-55cd8fdf-4e22-8dc0-7b6e-cc19493ffafc wds:Q119525793-57ce6d52-42cf-5d2a-716a-cc8ce62e8703 wds:Q119525793-bf44a79b-40af-a304-e50a-cd6864896f98
cites work	BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding Data Statements for Natural Language Processing: Toward Mitigating System Bias and Enabling Better Science Matching the Blanks: Distributional Similarity for Relation Learning What Do You Mean by Relation Extraction? A Survey on Datasets and Study on Scientific Relation Classification We Need to Consider Disagreement in Evaluation
rdfs:label	CrossRE: A Cross-Domain Dataset for Relation Extraction (da) CrossRE: A Cross-Domain Dataset for Relation Extraction (en)
skos:prefLabel	CrossRE: A Cross-Domain Dataset for Relation Extraction (da) CrossRE: A Cross-Domain Dataset for Relation Extraction (en)
name	CrossRE: A Cross-Domain Dataset for Relation Extraction (da) CrossRE: A Cross-Domain Dataset for Relation Extraction (en)
author	wds:Q119525793-c1ceed1c-47be-f930-a7e1-a6488060c976 wds:Q119525793-c22592dd-40fc-0971-5194-988d2551d4de
author	Barbara Plank Elisa Bassignana
title	wds:Q119525793-8ce5a8c6-4a25-06ee-e0a1-0b2e32b83075
title	CrossRE: A Cross-Domain Dataset for Relation Extraction (en)
page(s)	wds:Q119525793-53aa1534-4cad-588f-e970-1ad18a97d32d
page(s)	3592-3604
instance of	wds:Q119525793-cabf6ea0-459e-9c00-ba5f-cdaa2778fe28
instance of	scholarly article
main subject	wds:Q119525793-5664bb6e-4069-bcae-5b20-efe5056b8aa7 wds:Q119525793-79c6e8d8-4d13-b798-87c1-bcdce4d2e10a
main subject	relationship extraction data set
published in	wds:Q119525793-c24acccd-409a-a341-048c-2b9abe1a2bf0
full work available at URL	wds:Q119525793-927f5575-40bc-0b85-1846-0d07931dece8
published in	Findings of the Association for Computational Linguistics: EMNLP 2022
full work available at URL	https://aclanthology.org/2022.findings-emnlp.263.pdf
number of pages	wds:Q119525793-1fc9b352-4f58-b266-48ab-00a634befb22
number of pages	13 (xsd:decimal)
official website	wds:Q119525793-26b5de5e-4452-4ec0-bc95-cd96f5de02b9
official website	https://aclanthology.org/2022.findings-emnlp.263
describes a project that uses	wds:Q119525793-8d09a329-4c14-f7b4-b679-d15ea4be08ee
describes a project that uses	Bidirectional Encoder Representations from Transformer
ACL Anthology article ID	wds:Q119525793-114c47be-4eb2-9985-0f7a-75b9d19ff23d
ACL Anthology article ID	2022.findings-emnlp.263
is about of	https://www.wikidata.org/wiki/Special:EntityData/Q119525793
is cites work of	Multi-CrossRE A Multi-Lingual Multi-Domain Dataset for Relation Extraction
is cites work of	wds:Q118641180-f797dd57-4a48-5176-0669-7c1204bfc54a

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