CrossRE: A Cross-Domain Dataset for Relation Extraction

CrossRE: A Cross-Domain Dataset for Relation Extraction is …
instance of (P31):
scholarly articleQ13442814

External links are
P7505ACL Anthology article ID2022.findings-emnlp.263
P953full work available at URLhttps://aclanthology.org/2022.findings-emnlp.263.pdf
P856official websitehttps://aclanthology.org/2022.findings-emnlp.263

P50authorElisa BassignanaQ118641447
Barbara PlankQ57697598
P2860cites workData Statements for Natural Language Processing: Toward Mitigating System Bias and Enabling Better ScienceQ108118238
Matching the Blanks: Distributional Similarity for Relation LearningQ119136469
What Do You Mean by Relation Extraction? A Survey on Datasets and Study on Scientific Relation ClassificationQ119164315
We Need to Consider Disagreement in EvaluationQ119526201
BERT: Pre-training of Deep Bidirectional Transformers for Language UnderstandingQ57267388
P4510describes a project that usesBidirectional Encoder Representations from TransformerQ61726893
P407language of work or nameEnglishQ1860
P921main subjectdata setQ1172284
relationship extractionQ7310755
P1104number of pages13
P304page(s)3592-3604
P577publication date2022-12-01
P1433published inFindings of the Association for Computational Linguistics: EMNLP 2022Q119525928
P1476titleCrossRE: A Cross-Domain Dataset for Relation Extraction

Reverse relations

Q118641180Multi-CrossRE A Multi-Lingual Multi-Domain Dataset for Relation Extractioncites workP2860

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