arXiv Open Access 2023

The ACL OCL Corpus: Advancing Open Science in Computational Linguistics

Shaurya Rohatgi Yanxia Qin Benjamin Aw Niranjana Unnithan Min-Yen Kan

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Abstrak

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).

Topik & Kata Kunci

cs.CL cs.DL

Penulis (5)

Shaurya Rohatgi

Yanxia Qin

Benjamin Aw

Niranjana Unnithan

Min-Yen Kan

Format Sitasi

APA MLA BibTeX

Rohatgi, S., Qin, Y., Aw, B., Unnithan, N., Kan, M. (2023). The ACL OCL Corpus: Advancing Open Science in Computational Linguistics. https://arxiv.org/abs/2305.14996

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Informasi Jurnal

Tahun Terbit: 2023
Bahasa: en
Sumber Database: arXiv
Akses: Open Access ✓