coreference
task1390_wscfixed_coreference
Dataset Card for Natural Instructions (https://github.com/allenai/natural-instructions) Task: task1390_wscfixed_coreference
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 Tasks}… See the full description on the dataset page: https://huggingface.co/datasets/Lots-of-LoRAs/task1390_wscfixed_coreference.flan2021_coreference_raw
Flan 2021 Coreference Tasks
Project: https://github.com/google-research/FLAN/tree/main/flan/v2
Data source: DataProvenanceInitiative/flan2021_submix_original
Details
This dataset contains all coreference examples that were included in the Flan 2022 collection which were orignally included in Flan 2021.
The data is copied from the preprocessed Flan2021 dataset at DataProvenanceInitiative/flan2021_submix_original.
COREFERENCE_TASK_NAMES = {… See the full description on the dataset page: https://huggingface.co/datasets/coref-data/flan2021_coreference_raw.task891_gap_coreference_resolution
Dataset Card for Natural Instructions (https://github.com/allenai/natural-instructions) Task: task891_gap_coreference_resolution
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 Tasks}… See the full description on the dataset page: https://huggingface.co/datasets/Lots-of-LoRAs/task891_gap_coreference_resolution.task893_gap_fill_the_blank_coreference_resolution
Dataset Card for Natural Instructions (https://github.com/allenai/natural-instructions) Task: task893_gap_fill_the_blank_coreference_resolution
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… See the full description on the dataset page: https://huggingface.co/datasets/Lots-of-LoRAs/task893_gap_fill_the_blank_coreference_resolution.task892_gap_reverse_coreference_resolution
Dataset Card for Natural Instructions (https://github.com/allenai/natural-instructions) Task: task892_gap_reverse_coreference_resolution
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/task892_gap_reverse_coreference_resolution.id_coreference_resolutionWe built Indonesian coreference resolution that solves not only pronoun referenced to proper noun, but also proper noun to proper noun and pronoun to pronoun.
The differences with the available Indonesian coreference resolution lay on the problem scope and features.
We conducted experiments using various features (lexical and shallow syntactic features) such as appositive feature, nearest candidate feature, direct sentence feature, previous and next word feature, and a lexical feature of first person.
We also modified the method to build the training set by selecting the negative examples by cross pairing every single markable that appear between antecedent and anaphor.
Compared with two available methods to build the training set, we conducted experiments using C45 algorithm.
Using 200 news sentences, the best experiment achieved 71.6% F-Measure score.