relation-extraction
relation_extractionhttps://e3c.fbk.eu/clinkart#h.t2wonespwj5j
Publications
@inproceedings{evalita2023nermud,
title={{NERMuD} at {EVALITA} 2023: Overview of the Named-Entities Recognition on Multi-Domain Documents Task},
author={Palmero Aprosio, Alessio and Paccosi, Teresa},
booktitle={Proceedings of the Eighth Evaluation Campaign of Natural Language Processing and Speech Tools for Italian. Final Workshop (EVALITA 2023)},
publisher = {CEUR.org},
year = {2023},
month =… See the full description on the dataset page: https://huggingface.co/datasets/evalitahf/relation_extraction.task1510_evalution_relation_extraction
Dataset Card for Natural Instructions (https://github.com/allenai/natural-instructions) Task: task1510_evalution_relation_extraction
Additional Information
Citation Information
The following paper introduces the corpus in detail. If you use the corpus in published work, please cite it:
@misc{wang2022supernaturalinstructionsgeneralizationdeclarativeinstructions,
title={Super-NaturalInstructions: Generalization via Declarative Instructions on 1600+ NLP… See the full description on the dataset page: https://huggingface.co/datasets/Lots-of-LoRAs/task1510_evalution_relation_extraction.English_Relation_Extraction_TaskSlovenian_Relation_ExtractionGreek_Relation_ExtractionPolish_Relation_Extraction