scholarly article | Q13442814 |
P7505 | ACL Anthology article ID | 2022.findings-emnlp.263 |
P953 | full work available at URL | https://aclanthology.org/2022.findings-emnlp.263.pdf |
P856 | official website | https://aclanthology.org/2022.findings-emnlp.263 |
P50 | author | Elisa Bassignana | Q118641447 |
Barbara Plank | Q57697598 | ||
P2860 | cites work | Data Statements for Natural Language Processing: Toward Mitigating System Bias and Enabling Better Science | Q108118238 |
Matching the Blanks: Distributional Similarity for Relation Learning | Q119136469 | ||
What Do You Mean by Relation Extraction? A Survey on Datasets and Study on Scientific Relation Classification | Q119164315 | ||
We Need to Consider Disagreement in Evaluation | Q119526201 | ||
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding | Q57267388 | ||
P4510 | describes a project that uses | Bidirectional Encoder Representations from Transformer | Q61726893 |
P407 | language of work or name | English | Q1860 |
P921 | main subject | data set | Q1172284 |
relationship extraction | Q7310755 | ||
P1104 | number of pages | 13 | |
P304 | page(s) | 3592-3604 | |
P577 | publication date | 2022-12-01 | |
P1433 | published in | Findings of the Association for Computational Linguistics: EMNLP 2022 | Q119525928 |
P1476 | title | CrossRE: A Cross-Domain Dataset for Relation Extraction |
Q118641180 | Multi-CrossRE A Multi-Lingual Multi-Domain Dataset for Relation Extraction | cites work | P2860 |
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