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    <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 HuggingFace (https://huggingface.co/datasets/WINGNUS/ACL-OCL).</abstract>
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%0 Conference Proceedings
%T The ACL OCL Corpus: Advancing Open Science in Computational Linguistics
%A Rohatgi, Shaurya
%A Qin, Yanxia
%A Aw, Benjamin
%A Unnithan, Niranjana
%A Kan, Min-Yen
%Y Bouamor, Houda
%Y Pino, Juan
%Y Bali, Kalika
%S Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing
%D 2023
%8 December
%I Association for Computational Linguistics
%C Singapore
%F rohatgi-etal-2023-acl
%X 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 HuggingFace (https://huggingface.co/datasets/WINGNUS/ACL-OCL).
%R 10.18653/v1/2023.emnlp-main.640
%U https://aclanthology.org/2023.emnlp-main.640
%U https://doi.org/10.18653/v1/2023.emnlp-main.640
%P 10348-10361

Markdown (Informal)

[The ACL OCL Corpus: Advancing Open Science in Computational Linguistics](https://aclanthology.org/2023.emnlp-main.640) (Rohatgi et al., EMNLP 2023)

• The ACL OCL Corpus: Advancing Open Science in Computational Linguistics (Rohatgi et al., EMNLP 2023)

ACL

• Shaurya Rohatgi, Yanxia Qin, Benjamin Aw, Niranjana Unnithan, and Min-Yen Kan. 2023. The ACL OCL Corpus: Advancing Open Science in Computational Linguistics. In Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, pages 10348–10361, Singapore. Association for Computational Linguistics.