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Mahnoosh Kholghi

Name: dblp XML data dump
Creator: Schloss Dagstuhl - Leibniz Center for Informatics
Published: 1993
License: https://creativecommons.org/publicdomain/zero/1.0/
Keywords: dblp, XML, computer science, scholarly publications, metadata

◀ ▷ joint publications with Guido Zuccon

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Publications

2017
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Mahnoosh Kholghi, Laurianne Sitbon, Guido Zuccon, Anthony N. Nguyen:
Active learning reduces annotation time for clinical concept extraction. Int. J. Medical Informatics 106: 25-31 (2017)
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Mahnoosh Kholghi, Lance De Vine, Laurianne Sitbon, Guido Zuccon, Anthony N. Nguyen:
Clinical information extraction using small data: An active learning approach based on sequence representations and word embeddings. J. Assoc. Inf. Sci. Technol. 68(11): 2543-2556 (2017)
2016
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Mahnoosh Kholghi, Laurianne Sitbon, Guido Zuccon, Anthony N. Nguyen:
Active learning: a step towards automating medical concept extraction. J. Am. Medical Informatics Assoc. 23(2): 289-296 (2016)
[c4]
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  - electronic edition @ aclanthology.org (open access)
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Mahnoosh Kholghi, Lance De Vine, Laurianne Sitbon, Guido Zuccon, Anthony N. Nguyen:
The Benefits of Word Embeddings Features for Active Learning in Clinical Information Extraction. ALTA 2016: 25-34
[i3]
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Mahnoosh Kholghi, Lance De Vine, Laurianne Sitbon, Guido Zuccon, Anthony N. Nguyen:
The benefits of word embeddings features for active learning in clinical information extraction. CoRR abs/1607.02810 (2016)
2015
[c3]
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Lance De Vine, Mahnoosh Kholghi, Guido Zuccon, Laurianne Sitbon, Anthony N. Nguyen:
Analysis of Word Embeddings and Sequence Features for Clinical Information Extraction. ALTA 2015: 21-30
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Mahnoosh Kholghi, Laurianne Sitbon, Guido Zuccon, Anthony N. Nguyen:
External Knowledge and Query Strategies in Active Learning: a Study in Clinical Information Extraction. CIKM 2015: 143-152
2014
[c1]
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  - electronic edition @ westernsydney.edu.au
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Mahnoosh Kholghi, Laurianne Sitbon, Guido Zuccon, Anthony N. Nguyen:
Factors Influencing Robustness and Effectiveness of Conditional Random Fields in Active Learning Frameworks. AusDM 2014: 69-78

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