The ACL Anthology Reference Corpus: A Reference Dataset for Bibliographic Research in Computational Linguistics

By Steven Bird, Rick Dale, Bonnie J. Dorr, Bryan R. Gibson, M. T. Joseph, Min-Yen Kan, Dongwon Lee, B. Powley, Dragomir R. Radev, Yee Fan Tan. International Conference on Language Resources and Evaluation, 2008

378 citations recorded by the source corpus.

The ACL Anthology is a digital archive of conference and journal papers in natural language processing and computational linguistics. Its primary purpose is to serve as a reference repository of research results, but we believe that it can also be an object of study and a platform for research in its own right. We describe an enriched and standardized reference corpus derived from the ACL Anthology that can be used for research in scholarly document processing. This corpus, which we call the ACL Anthology Reference Corpus (ACL ARC), brings together the recent activities of a number of research groups around the world. Our goal is to make the corpus widely available, and to encourage other researchers to use it as a standard testbed for experiments in both bibliographic and bibliometric research.

View Paper: https://www.semanticscholar.org/paper/737e7b7b695755bb86f9c89a215b162ec836cff9

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Citations in the corpus

AdaptSum: Towards Low-Resource Domain Adaptation for Abstractive Summarization (2021, methodology): “We collect the unlabeled domain corpus from the ACL anthol-ogy (Bird et al., 2008).”
Artificial error generation for translation-based grammatical error correction (2016, methodology): “Participants were given a training set consisting of 19 text fragments taken from papers in the ACL Anthology (Bird et al., 2008).”
NRC Publications Archive Archives des publications du CNRC (unknown): “…Howland, 2010; Ordu˜na-Malea et al., 2014; Mart´ın-Mart´ın et al., 2018), on the analysis of NLP papers (Radev et al., 2016; Anderson et al., 2012; Bird et al., 2008; Schluter, 2018; Mariani et al., 2018; Qazvinian et al., 2013; Te-ich, 2010; Saggion et al., 2017), on citation intent (Aya et al.,…”
Measuring the Evolution of a Scientific Field through Citation Frames (2018, methodology): “This yielded a dataset of 134,127 citations between papers in the ARC.”
Directions in abusive language training data, a systematic review: Garbage in, garbage out (2020, background): “ACL Anthology A database of research in the fields of computational linguistics and natural language processing published by the Association for Computational Linguistics [35, 36].”
GORC: A large contextual citation graph of academic papers (2019, background): “The ACL Anthology Network (AAN) 3 (Radev et al., 2009) is one such contextual citation graph built from the ACL Anthology corpus (Bird et al., 2008), consisting of 24.6K papers manually augmented with citation information.”
He Said, She Said: Gender in the ACL Anthology (2012, methodology): “This paper studies author gender in the Association for Computational Linguistics Anthology Network (AAN) corpus (Radev et al., 2009), (based on the ACL Anthology Reference Corpus (Bird et al., 2008)) from which we used 13,000 papers by approximately 12,000 distinct authors from 1965 to 2008.”
Examining Citations of Natural Language Processing Literature (2020, background): “…and Hoffmann, 2003; Aya et al., 2005; Teufel et al., 2006; Mohammad et al., 2009; Nanba et al., 2011; Zhu et al., 2015; Radev et al., 2016), generating summaries of scientiﬁc articles (Qazvinian et al., 2013), and creating corpora of scientiﬁc articles (Bird et al., 2008; Mariani et al., 2018).”
Citation recommendation: approaches and datasets (2020, background): “– ACL Anthology Reference Corpus (ACL-ARC) [22] 19 ACL-ARC is a widely used corpus of scholarly publications about computational linguistics.”
S2ORC: The Semantic Scholar Open Research Corpus (2020, methodology): “It is built from the ACL Anthology (Bird et al., 2008) and consists of 24.”
The State and Fate of Linguistic Diversity and Inclusion in the NLP World (2020, methodology): “The ACL Anthology Corpus (ACL-ARC) (Bird et al., 2008) is the most extensively used dataset for analyzing trends in NLP research.”
ParsCit: an Open-source CRF Reference String Parsing Package (2008, methodology): “ParsCit is one of the tool deliverables associated with the ACL ARC project, described in a separate LREC paper (Bird et al., 2008).”