TY  - JOUR
PY  - 2012//
TI  - A combined approach to emotion detection in suicide notes
JO  - Biomedical informatics insights
A1  - Pak, Alexander
A1  - Bernhard, Delphine
A1  - Paroubek, Patrick
A1  - Grouin, Cyril
SP  - 105
EP  - 114
VL  - 5
IS  - Suppl 1
N2  - In this paper, we present the system we have developed for participating in the second task of the i2b2/VA 2011 challenge dedicated to emotion detection in clinical records. On the official evaluation, we ranked 6th out of 26 participants. Our best configuration, based upon a combination of both a machine-learning based approach and manually-defined transducers, obtained a 0.5383 global F-measure, while the distribution of the other 26 participants' results is characterized by mean = 0.4875, stdev = 0.0742, min = 0.2967, max = 0.6139, and median = 0.5027. Combination of machine learning and transducer is achieved by computing the union of results from both approaches, each using a hierarchy of sentiment specific classifiers.<p />  <p>Language: en</p>
LA  - en
SN  - 1178-2226
UR  - http://dx.doi.org/10.4137/BII.S8969
ID  - ref1
ER  -