TY  - GEN
N2  - We present two approaches to time expression identification, as entered in to SemEval2015 Task 6, Clinical TempEval. The first
is a comprehensive rule-based approach that
favoured recall, and which achieved the best
recall for time expression identification in Clinical TempEval. The second is an SVM-based
system built using readily available components, which was able to achieve a competitive F1 in a short development time. We discuss how the two approaches perform relative
to each other, and how characteristics of the
corpus affect the suitability of different approaches and their outcomes.
ID  - discovery10065714
UR  - https://doi.org/10.18653/v1/S15-2141
PB  - Association for Computational Linguistics
CY  - Denver, Colorado
A1  - Tissot, H
A1  - Gorrell, G
A1  - Roberts, A
A1  - Derczynski, L
A1  - Fabro, MDD
T3  - International Workshop on Semantic Evaluation (SemEval 2015)
TI  - UFPRSheffield: Contrasting Rule-based and Support Vector Machine Approaches to Time Expression Identification in Clinical TempEval
AV  - public
SP  - 835
Y1  - 2015/06//
EP  - 839
N1  - Licensed under the Creative Commons Attribution-NonCommercial-ShareAlike 3.0 International License. Permission is granted to make copies for the purposes of teaching and research. Materials published in or after 2016 are licensed on a Creative Commons Attribution 4.0 International License.
ER  -