SEACrowd/id_coreference_resolution

We 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.

Languages

ind

Supported Tasks

Coreference Resolution

Dataset Usage

Using datasets library

from datasets import load_dataset
dset = datasets.load_dataset("SEACrowd/id_coreference_resolution", trust_remote_code=True)

Using seacrowd library

# Load the dataset using the default config
dset = sc.load_dataset("id_coreference_resolution", schema="seacrowd")
# Check all available subsets (config names) of the dataset
print(sc.available_config_names("id_coreference_resolution"))
# Load the dataset using a specific config
dset = sc.load_dataset_by_config_name(config_name="<config_name>")

More details on how to load the seacrowd library can be found here.

Dataset Homepage

https://github.com/tugas-akhir-nlp/indonesian-coreference-resolution-cnn/tree/master/data

Dataset Version

Source: 1.0.0. SEACrowd: 2024.06.20.

Dataset License

Creative Commons Attribution-ShareAlike 4.0

Citation

If you are using the Id Coreference Resolution dataloader in your work, please cite the following:

@INPROCEEDINGS{8074648,
  author={Suherik, Gilang Julian and Purwarianti, Ayu},
  booktitle={2017 5th International Conference on Information and Communication Technology (ICoIC7)}, 
  title={Experiments on coreference resolution for Indonesian language with lexical and shallow syntactic features}, 
  year={2017},
  volume={},
  number={},
  pages={1-5},
  doi={10.1109/ICoICT.2017.8074648}}


@article{lovenia2024seacrowd,
    title={SEACrowd: A Multilingual Multimodal Data Hub and Benchmark Suite for Southeast Asian Languages}, 
    author={Holy Lovenia and Rahmad Mahendra and Salsabil Maulana Akbar and Lester James V. Miranda and Jennifer Santoso and Elyanah Aco and Akhdan Fadhilah and Jonibek Mansurov and Joseph Marvin Imperial and Onno P. Kampman and Joel Ruben Antony Moniz and Muhammad Ravi Shulthan Habibi and Frederikus Hudi and Railey Montalan and Ryan Ignatius and Joanito Agili Lopo and William Nixon and Börje F. Karlsson and James Jaya and Ryandito Diandaru and Yuze Gao and Patrick Amadeus and Bin Wang and Jan Christian Blaise Cruz and Chenxi Whitehouse and Ivan Halim Parmonangan and Maria Khelli and Wenyu Zhang and Lucky Susanto and Reynard Adha Ryanda and Sonny Lazuardi Hermawan and Dan John Velasco and Muhammad Dehan Al Kautsar and Willy Fitra Hendria and Yasmin Moslem and Noah Flynn and Muhammad Farid Adilazuarda and Haochen Li and Johanes Lee and R. Damanhuri and Shuo Sun and Muhammad Reza Qorib and Amirbek Djanibekov and Wei Qi Leong and Quyet V. Do and Niklas Muennighoff and Tanrada Pansuwan and Ilham Firdausi Putra and Yan Xu and Ngee Chia Tai and Ayu Purwarianti and Sebastian Ruder and William Tjhi and Peerat Limkonchotiwat and Alham Fikri Aji and Sedrick Keh and Genta Indra Winata and Ruochen Zhang and Fajri Koto and Zheng-Xin Yong and Samuel Cahyawijaya},
    year={2024},
    eprint={2406.10118},
    journal={arXiv preprint arXiv: 2406.10118}
}