ParsCit: an Open-source CRF Reference String Parsing Package
By Isaac G. Councill, C. Lee Giles, Min-Yen Kan. International Conference on Language Resources and Evaluation, 2008
378 citations recorded by the source corpus.
We describe ParsCit, a freely available, open-source implementation of a reference string parsing package. At the core of ParsCit is a trained conditional random field (CRF) model used to label the token sequences in the reference string. A heuristic model wraps this core with added functionality to identify reference strings from a plain text file, and to retrieve the citation contexts. The package comes with utilities to run it as a web service or as a standalone utility. We compare ParsCit on three distinct reference string datasets and show that it compares well with other previously published work.
Subfields: Artificial Intelligence, Computational Theory and Mathematics
View Paper: https://www.semanticscholar.org/paper/beb6475b664ae1d63157738329388f32b5e5169f
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Artificial Intelligence
- David Jurgens
- Bela Gipp
- Dan Jurafsky
- Joeran Beel
- Corinna Breitinger
- Srijan Kumar
- Stefan Langer
- Noah A. Smith
In Computational Theory and Mathematics
Citations in the corpus
- Research-paper recommender systems: a literature survey (2015, background): “None of these tasks are trivial and they may introduce errors into the recommendations [256,325,326].”
- Measuring the Evolution of a Scientific Field through Citation Frames (2018, methodology): “Following best practices for annotating citations (Athar, 2014), annotators saw an extended context before and after the citing sentence, provided from the output of ParsCit.”
- Citation recommendation: approaches and datasets (2020, neutral): “ParsCit [39] CRF txt xml, txt yes (200 words) no”
- Systematic review automation technologies (2014, background): “Current systems Automatic citation extraction tools [85-89] are core to snowballing systems.”