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Yet Another Ranking Function for Automatic Multiword Term Extraction
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In: 9th International Conference on Natural Language Processing (PolTAL) ; https://hal-lirmm.ccsd.cnrs.fr/lirmm-01068556 ; 9th International Conference on Natural Language Processing (PolTAL), Sep 2014, Warsaw, Poland. pp.52-64, ⟨10.1007/978-3-319-10888-9_6⟩ ; http://poltal.ipipan.waw.pl/ (2014)
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Abstract:
International audience ; Term extraction is an essential task in domain knowledge acquisition. We propose two new measures to extract multiword terms from a domain-specific text. The first measure is both linguistic and statistical based. The second measure is graph-based, allowing assessment of the importance of a multiword term of a domain. Existing measures often solve some problems related (but not completely) to term extraction, e.g., noise, silence, low frequency, large-corpora, complexity of the multiword term extraction process. Instead, we focus on managing the entire set of problems, e.g., detecting rare terms and overcoming the low frequency issue. We show that the two proposed measures outperform precision results previously reported for automatic multiword extraction by comparing them with the state-of-the-art reference measures.
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Keyword:
[INFO.INFO-AI]Computer Science [cs]/Artificial Intelligence [cs.AI]; [INFO.INFO-BI]Computer Science [cs]/Bioinformatics [q-bio.QM]; [INFO.INFO-TT]Computer Science [cs]/Document and Text Processing; [SDV.BIBS]Life Sciences [q-bio]/Quantitative Methods [q-bio.QM]; Automatic Term Extraction; BioNLP; Graph Mining; Graphs; Text Mining
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URL: https://hal-lirmm.ccsd.cnrs.fr/lirmm-01068556/file/PolTAL2014.pdf https://hal-lirmm.ccsd.cnrs.fr/lirmm-01068556 https://doi.org/10.1007/978-3-319-10888-9_6 https://hal-lirmm.ccsd.cnrs.fr/lirmm-01068556/document
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Integration of Linguistic and Web Information to Improve Biomedical Terminology Extraction
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In: 18th International Database Engineering & Applications Symposium ; IDEAS: International Database Engineering & Applications Symposium ; https://hal-lirmm.ccsd.cnrs.fr/lirmm-01068547 ; IDEAS: International Database Engineering & Applications Symposium, Jul 2014, Porto, Portugal. pp.265-269, ⟨10.1145/2628194.2628208⟩ ; http://confsys.encs.concordia.ca/IDEAS/ideas14/ideas14.php (2014)
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