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SEACrowd/indoner_tourism

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Unclear

The checks could not identify a recognised licence ID in the dataset's metadata.

Declared licence: afl-3.0, from the tagEvidence: README.md at 9f3965f
Licence files: LICENSE, licence not identifiedEvidence: LICENSE at 9f3965f
Declared sources: None listed in the card metadata
Access gated on Hugging Face: No

Each cell links to what was checked: a file, a file list or a Hub record.

Tasks

named-entity-recognition

Citation text from the card

@article{JLK,
    author = {Ahmad Hidayatullah and Muhammad Fakhri Despawida Aulia Putra and Adityo Permana Wibowo and Kartika Rizqi Nastiti},
    title = { Named Entity Recognition on Tourist Destinations Reviews in the Indonesian Language},
    journal = {Jurnal Linguistik Komputasional},
    volume = {6},
    number = {1},
    year = {2023},
    keywords = {},
    abstract = {To find information about tourist destinations, tourists usually search the reviews about the destinations they want to visit. However, many studies made it hard for them to see the desired information. Named Entity Recognition (NER) is one of the techniques to detect entities in a text. The objective of this research was to make a NER model using BiLSTM to detect and evaluate entities on tourism destination reviews. This research used 2010 reviews of several tourism destinations in Indonesia and chunked them into 116.564 tokens of words. Those tokens were labeled according to their categories: the name of the tourism destination, locations, and facilities. If the tokens could not be classified according to the existing categories, the tokens would be labeled as O (outside). The model has been tested and gives 94,3% as the maximum average of F1-Score.},
    issn = {2621-9336}, pages = {30--35},   doi = {10.26418/jlk.v6i1.89},
    url = {https://inacl.id/journal/index.php/jlk/article/view/89}
}


@article{lovenia2024seacrowd,
    title={SEACrowd: A Multilingual Multimodal Data Hub and Benchmark Suite f

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dataset_licence({ "id": "SEACrowd/indoner_tourism" })
signal: "unclear"
stated_licence: "afl-3.0"
sources: 0