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A linguistic failure analysis of classification of medical publications: A study on stemming vs lemmatization

Chapter
Publication Date:
2018
abstract:
Technology-Assisted Review (TAR) systems are essential to minimize the effort of the user during the search and retrieval of relevant documents for a specific information need. In this paper, we present a failure analysis based on terminological and linguistic aspects of a TAR system for systematic medical reviews. In particular, we analyze the results of the worst performing topics in terms of recall using the dataset of the CLEF 2017 eHealth task on TAR in Empirical Medicine.
Iris type:
02.01 - Contributo in volume (Capitolo o Saggio)
Keywords:
Computer Science (all)
List of contributors:
Di Nunzio, Giorgio Maria; Vezzani, Federica
Authors of the University:
DI NUNZIO GIORGIO MARIA
VEZZANI FEDERICA
Handle:
https://www.research.unipd.it/handle/11577/3302620
Full Text:
https://www.research.unipd.it//retrieve/handle/11577/3302620/622484/aaccademia-3327.pdf
Book title:
Proceedings of the Fifth Italian Conference on Computational Linguistics CLiC-it 2018
Published in:
CEUR WORKSHOP PROCEEDINGS
Journal
CEUR WORKSHOP PROCEEDINGS
Series
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URL

https://books.openedition.org/aaccademia/3327
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