  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).
