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languages: |
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- ca |
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--- |
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# Named Entites from Ancora Corpus |
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## BibTeX citation |
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If you use any of these resources (datasets or models) in your work, please cite our latest paper: |
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```bibtex |
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@inproceedings{armengol-estape-etal-2021-multilingual, |
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title = "Are Multilingual Models the Best Choice for Moderately Under-resourced Languages? {A} Comprehensive Assessment for {C}atalan", |
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author = "Armengol-Estap{\'e}, Jordi and |
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Carrino, Casimiro Pio and |
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Rodriguez-Penagos, Carlos and |
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de Gibert Bonet, Ona and |
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Armentano-Oller, Carme and |
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Gonzalez-Agirre, Aitor and |
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Melero, Maite and |
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Villegas, Marta", |
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booktitle = "Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021", |
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month = aug, |
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year = "2021", |
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address = "Online", |
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publisher = "Association for Computational Linguistics", |
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url = "https://aclanthology.org/2021.findings-acl.437", |
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doi = "10.18653/v1/2021.findings-acl.437", |
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pages = "4933--4946", |
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} |
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``` |
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## Digital Object Identifier (DOI) and access to dataset files |
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https://doi.org/10.5281/zenodo.4529299 |
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## Introduction |
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This is a dataset for Named Entity Recognition (NER) from <a href="http://clic.ub.edu/corpus/">Ancora corpus</a> adapted for Machine Learning and Language Model evaluation purposes. |
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Since multiwords (including Named Entities) in the original Ancora corpus are aggregated as a single lexical item using underscores (e.g. "Ajuntament_de_Barcelona") we splitted them to align with word-per-line format, and added conventional <a href="https://en.wikipedia.org/wiki/Inside%E2%80%93outside%E2%80%93beginning_(tagging)">Begin-Inside-Outside (IOB) tags</a> to mark and classify Named Entities. We did not filter out the different categories of NEs from Ancora (weak and strong). We did 6 minor edits by hand. |
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AnCora corpus is used under [CC-by] (https://creativecommons.org/licenses/by/4.0/) licence. |
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This dataset was developed by BSC TeMU as part of the AINA project, and to enrich the Catalan Language Understanding Benchmark (CLUB). |
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### Supported Tasks and Leaderboards |
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Named Entities Recognition, Language Model |
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### Languages |
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CA- Catalan |
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### Directory structure |
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* dev.txt |
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* test.txt |
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* train.txt |
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## Dataset Structure |
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### Data Instances |
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three two-column files, one for each split. |
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### Data Fields |
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Every file has two columns, with the word form or punctuation symbol in the first one and the corresponding IOB tag in the second one. |
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### Example: |
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<pre> |
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Fundació B-ORG |
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Privada I-ORG |
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Fira I-ORG |
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de I-ORG |
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Manresa I-ORG |
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ha O |
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fet O |
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un O |
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balanç O |
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de O |
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l' O |
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activitat O |
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del O |
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Palau B-LOC |
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Firal I-LOC |
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</pre> |
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### Data Splits |
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One for each sub-dataset for train, evaluation and test. |
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## Dataset Creation |
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### Methodology |
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We adapted the NER labels from Ancora corpus to a word-per-line format. |
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Since multiwords in the original Ancora corpus are aggregated as a single lexical item using underscores (e.g. "Ajuntament_de_Barcelona") we splitted them to align with this format, and added conventional <a href="https://en.wikipedia.org/wiki/Inside%E2%80%93outside%E2%80%93beginning_(tagging)">Begin-Inside-Outside (IOB) tags</a> to mark and classify Named Entities. We did not filter out the different categories of NEs from Ancora (weak and strong). We did 6 minor edits by hand. |
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### Curation Rationale |
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### Source Data |
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#### Initial Data Collection and Normalization |
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AnCora consists of a Catalan corpus (AnCora-CA) and a Spanish corpus (AnCora-ES), each of them of 500,000 tokens (some multi-word). The corpora are annotated for linguistic phenomena at different levels. |
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AnCora corpus is mainly based on newswire texts. For more information, refer to Taulé, M., M.A. Martí, M. Recasens (2009). “AnCora: Multilevel Annotated Corpora for Catalan and Spanish”, Proceedings of 6th International Conference on language Resources and Evaluation. http://www.lrec-conf.org/proceedings/lrec2008/pdf/35_paper.pdf |
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#### Who are the source language producers? |
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Catalan Ancora corpus is compiled from articles from the following news outlets: <a href="https://www.efe.com">EFE</a>, <a href="https://www.acn.cat">ACN</a>, <a href="https://www.elperiodico.cat/ca/">El Periodico</a>. |
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### Annotations |
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#### Annotation process |
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We adapted the NER labels from Ancora corpus to a token-per-line, multi-column format. |
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#### Who are the annotators? |
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Original annotators from Ancora corpus. |
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### Dataset Curators |
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Carlos Rodríguez and Carme Armentano, from BSC-CNS, did the conversion and curation. |
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### Personal and Sensitive Information |
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No personal or sensitive information included. |
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## Considerations for Using the Data |
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### Social Impact of Dataset |
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[More Information Needed] |
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### Discussion of Biases |
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[More Information Needed] |
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### Other Known Limitations |
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[More Information Needed] |
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## Contact |
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Carlos Rodríguez-Penagos (carlos.rodriguez1@bsc.es) and Carme Armentano-Oller (carme.armentano@bsc.es) |
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## License |
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<a rel="license" href="https://creativecommons.org/licenses/by/4.0/"><img alt="Attribution 4.0 International License" style="border-width:0" src="https://chriszabriskie.com/img/cc-by.png" width="100"/></a><br />This work is licensed under a <a rel="license" href="https://creativecommons.org/licenses/by/4.0/">Attribution 4.0 International License</a>. |
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