Automatic recognition of multi-word terms:. the C-value/NC-value method

By K. Frantzi, Sophia Ananiadou, Hideki Mima. International Journal on Digital Libraries, 2000

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Term identification in the biomedical literature (2004, methodology): “Finally, while the majority of methods address a specific type of entities, a method called C/NCvalue, developed by Frantzi and colleagues [46] recognises general terms.”
Detecting emerging research fronts based on topological measures in citation networks of scientific publications (2008, background): “First of all, candidate terms are extracted by linguistic filtering, using all abstracts of papers (Mima et al., 1998; Frantzi et al., 2000).”
Automated Phrase Mining from Massive Text Corpora (2017, methodology): “Our latest domain-independent method SegPhrase [23] outperforms many other approaches [1], [9], [10], [13], [30], [31], [38], but still needs domain experts to first carefully select hundreds of varying-quality phrases from millions of candidates, and then annotate them with binary labels.”