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--- |
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annotations_creators: |
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- unknown |
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language_creators: |
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- unknown |
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language: |
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- fr |
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- en |
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license: |
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- cc-by-4.0 |
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multilinguality: |
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- multilingual |
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task_categories: |
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- text-mining |
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- text-generation |
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task_ids: |
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- keyphrase-generation |
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- keyphrase-extraction |
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size_categories: |
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- 1K<n<10K |
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pretty_name: TALN-Archives |
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--- |
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# TALN-Archives Benchmark Dataset for Keyphrase Generation |
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## About |
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TALN-Archives is a dataset for benchmarking keyphrase extraction and generation models. |
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The dataset is composed of 1207 abstracts of scientific papers in French collected from the [TALN Archives](http://talnarchives.atala.org/). |
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Keyphrases were annotated by authors in an uncontrolled setting (that is, not limited to thesaurus entries). |
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English translations of title/abstract/keyphrases are also available for a subset of the documents (456 fully- and 719 partially-translated documents), allowing to experiment with cross-lingual / multilingual keyphrase generation. |
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Details about the dataset can be found in the original paper [(Boudin, 2013)][boudin-2013]. |
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Reference (indexer-assigned) keyphrases are also categorized under the PRMU (<u>P</u>resent-<u>R</u>eordered-<u>M</u>ixed-<u>U</u>nseen) scheme as proposed in [(Boudin and Gallina, 2021)][boudin-2021]. <u>P</u>resent reference keyphrases are also ordered by their order of apparition in the concatenation of title and abstract. |
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Text pre-processing (tokenization) is carried out using `spacy` (`fr_core_news_sm` model) with a special rule to avoid splitting words with hyphens (e.g. graph-based is kept as one token). |
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Stemming (Snowball stemmer implementation for french provided in `nltk`) is applied before reference keyphrases are matched against the source text. |
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Details about the process can be found in `prmu.py`. |
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## Content and statistics |
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The dataset contains the following test split: |
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| Split | # documents | #words | # keyphrases | % Present | % Reordered | % Mixed | % Unseen | |
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| :--------- | ----------: | -----: | -----------: | --------: | ----------: | ------: | -------: | |
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| Test | 1207 | 138.3 | 4.12 | 53.83 | 12.32 | 21.69 | 12.16 | |
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The following data fields are available : |
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- **id**: unique identifier of the document. |
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- **title**: title of the document. |
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- **abstract**: abstract of the document. |
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- **keyphrases**: list of reference keyphrases. |
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- **prmu**: list of <u>P</u>resent-<u>R</u>eordered-<u>M</u>ixed-<u>U</u>nseen categories for reference keyphrases. |
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- **translation**: translations of title, abstract and keyphrases in English if available. |
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## References |
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- (Boudin, 2013) Florian Boudin. 2013. |
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[TALN Archives : a digital archive of French research articles in Natural Language Processing (TALN Archives : une archive numérique francophone des articles de recherche en Traitement Automatique de la Langue) [in French]][boudin-2013]. |
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In Proceedings of TALN 2013 (Volume 2: Short Papers), pages 507–514, Les Sables d’Olonne, France. ATALA. |
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- (Boudin and Gallina, 2021) Florian Boudin and Ygor Gallina. 2021. |
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[Redefining Absent Keyphrases and their Effect on Retrieval Effectiveness][boudin-2021]. |
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In Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, pages 4185–4193, Online. Association for Computational Linguistics. |
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[boudin-2013]: https://aclanthology.org/F13-2001/ |
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[boudin-2021]: https://aclanthology.org/2021.naacl-main.330/ |
