asho1/fastinsight-acl-lacd

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The declared licence (cc-by-nc-4.0) is classified as having use restrictions.

Declared licence: cc-by-nc-4.0, from the tagEvidence: README.md at 0f5c8a8
Licence files: LICENSE, detected as cc-by-nc-4.0Evidence: LICENSE at 0f5c8a8
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Citation text from the card

@inproceedings{rohatgi-etal-2023-acl,
    title = "The {ACL} {OCL} Corpus: Advancing Open Science in Computational Linguistics",
    author = "Rohatgi, Shaurya  and
      Qin, Yanxia  and
      Aw, Benjamin  and
      Unnithan, Niranjana  and
      Kan, Min-Yen",
    editor = "Bouamor, Houda  and
      Pino, Juan  and
      Bali, Kalika",
    booktitle = "Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing",
    month = dec,
    year = "2023",
    address = "Singapore",
    publisher = "Association for Computational Linguistics",
    url = "https://aclanthology.org/2023.emnlp-main.640/",
    doi = "10.18653/v1/2023.emnlp-main.640",
    pages = "10348--10361",
    abstract = "We present ACL OCL, a scholarly corpus derived from the ACL Anthology to assist Open scientific research in the Computational Linguistics domain. Integrating and enhancing the previous versions of the ACL Anthology, the ACL OCL contributes metadata, PDF files, citation graphs and additional structured full texts with sections, figures, and links to a large knowledge resource (Semantic Scholar). The ACL OCL spans seven decades, containing 73K papers, alongside 210K figures. We spotlight how ACL OCL applies to observe trends in computational linguistics. By detecting paper topics with a supervised neural model, we note that interest in ``Syntax: Tagging, Chunking and Parsing'' is waning and ``Natural Language Generation'' is resurging. Our dataset is available from Hugging

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dataset_licence({ "id": "asho1/fastinsight-acl-lacd" })
signal: "restrictive"
stated_licence: "cc-by-nc-4.0"
sources: 0