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acl_anthology — ACL Anthology citations and authorships (ACL OCL, 1952-2022)

Description

Citations and authorships of the papers of the ACL Anthology, the digital archive of the publications in computational linguistics and natural language processing (the journals, conferences and workshops of the Association for Computational Linguistics and related organizations), from the ACL OCL corpus of S. Rohatgi et al. The corpus covers the 73,285 papers of the Anthology up to September 2022, with their metadata from the Anthology, and their references from Semantic Scholar, which identifies the papers (cited or citing) with its corpus identifiers.

  • acl: the citation network among the papers of the Anthology: a directed edge goes from a paper to a paper of the Anthology that it cites.
  • full: the citations to and from the papers of the Anthology, including those of papers outside the Anthology (citing papers of the Anthology, or cited by them), known only by their Semantic Scholar identifier. Citations between two papers outside the Anthology are not included.

The citation networks include only the papers with at least one citation in these tables (64,185 papers of the Anthology in acl, 68,241 in full). - authorship: the undirected bipartite network of the authors and all the papers of the Anthology (including a few hundred without authors in the data), where an edge links a paper to each of its authors. Authors are identified by their names as written in the BibTeX records of the Anthology (as "Last, First", with the LaTeX markup of accented letters), which the Anthology partly normalizes; different persons with the same name are merged, and the same person under different spellings is split.

In the upstream citation tables, every citation between two papers of the Anthology appears twice (as identical rows); it is included once here. A few hundred citations appear twice with different identifiers (as different references of the citing paper) and give parallel edges. The abstracts and full texts of the papers (extracted with GROBID), and the topic labels of the corpus (given only for a part of the papers, in Python pickle files), are left out.

The networks have the following properties:

  • s2_id (citation networks): the Semantic Scholar corpus identifier of the paper (its page is https://api.semanticscholar.org/CorpusID:<s2_id>).
  • is_acl (full): whether the paper belongs to the ACL Anthology (the following properties are empty, or -1, for those that do not).
  • is_paper (authorship): whether the node is a paper (otherwise it is an author).
  • name: the title of the paper (with the LaTeX markup of the BibTeX record), or the name of the author.
  • acl_id: the identifier of the paper in the Anthology (its page is https://aclanthology.org/<acl_id>).
  • year: the year of publication.
  • month: the month of publication, as given (e.g. August).
  • venue: the proceedings (book title) or the journal in which the paper appeared.
  • entry_type: the BibTeX entry type (e.g. inproceedings, article).
  • publisher, doi, url: the publisher, the DOI, and the URL of the paper (e.g. its PDF).
  • num_cited_by: the number of citations of the paper according to Semantic Scholar (in September 2022), counting all citing papers.
  • Edge id (citation networks): the Semantic Scholar identifier of the citation.
Tags
Informational Citation Collaboration Bipartite Unweighted Metadata
Citation
  • S. Rohatgi, Y. Qin, B. Aw, N. Unnithan, M.-Y. Kan, "The ACL OCL Corpus: Advancing Open Science in Computational Linguistics." Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 10348-10361 (2023) 10.18653/v1/2023.emnlp-main.640 Sci-Hub
Upstream URL OK
https://huggingface.co/datasets/WINGNUS/ACL-OCL
https://aclanthology.org/
Upstream license
CC BY-NC 4.0, https://creativecommons.org/licenses/by-nc/4.0/
Networks
Tip: click on a column header to sort the list, or hover over it for a description.
Column legend
$\left<k\right>$
Mean degree
$\sigma_k$
Standard deviation of the degrees
$\lambda_h$
Largest eigenvalue of the Hashimoto (non-backtracking) matrix
$\tau$
Random walk mixing time
$r$
Degree assortativity
$c$
Global clustering coefficient
$\oslash$
(Pseudo-) diameter
$S$
Relative size of the largest component
NPs
Node properties
EPs
Edge properties
Name Nodes Edges $\left<k\right>$ $\sigma_k$ $\lambda_h$ $\tau$ $r$ $c$ $\oslash$ $S$ Kind Mode NPs EPs gt GraphML GML csv
acl 64,185 669,707 10.43 61.87 104.07 39.20 -0.05 0.03 15 0.99 Directed Unipartite s2_id name acl_id month publisher doi url entry_type venue year num_cited_by id 5.0 MiB 7.2 MiB 7.1 MiB 8.7 MiB
full 585,793 3,142,549 5.36 83.46 180.98 1207.99 -0.05 0.01 14 1.00 Directed Unipartite s2_id name acl_id month publisher doi url entry_type venue year num_cited_by is_acl id 19.2 MiB 29.9 MiB 29.2 MiB 32.3 MiB
authorship 138,979 230,432 3.32 6.38 13.24 620.16 -0.12 0.00 30 0.87 Undirected Bipartite is_paper name acl_id month publisher doi url entry_type venue year num_cited_by 3.2 MiB 4.4 MiB 4.3 MiB 5.6 MiB