PSB 2016 Social Media Mining Shared Task Workshop

 

 

Task 1 Description

Task 2 Description

Task 3 Description

Evaluation

Proceedings

FAQ

 

 

Proceedings

The following 7 system descriptions were accepted for publication in the online proceedings:

  1. B. Ofoghi, S. Siddiqui, and K. Verspoor. READ-BioMed-SS: Adverse drug reaction classification of microblogs using emotional and conceptual enrichment. [ pdf ]

  2. M. Rastegar-Mojarad, R. K. Elayavilli, Y. Yu, and H Liu. Detecting signals in noisy data - can ensemble classifiers help identify adverse drug reaction in Tweets? [ pdf ]

  3. Z. Zhang, J.-Y. Nie, and X. Zhang, An ensemble method for binary classification of adverse drug reactions from social media [ pdf ]

  4. J. Jonnagaddala, T. R. Jue, and H.-J. Dai, Binary classification of Twitter posts for adverse drug reactions [ pdf ]

  5. D. Egger, F. Uzdilli, M. Cieliebak, and L. Derczynski, Adverse Drug Reaction Detection using an adapted Sentiment Classifier. [ pdf ]

  6. W. Wang, Mining adverse drug reaction mentions in twitter with word embeddings. [ pdf ]

  7. C.-K. Wang, H.-J. Dai, J. Jonnagaddala, T. R. Jue, O. Singh, U. Iqbal and J. Y.-C. Li, NT- TUMUNSW system for adverse drug reactions extraction in Twitter data. [ pdf ]

Accepted author/participant contacts


# Team Primary contact Contact affiliation Contact email
1. Read-Biomed-SS Verspoor, Karin University of Melbourne, Australia karin.verspoor@unimelb.edu.au
2. Mayo-NLP Rastegar-Mojarad, Majid Mayo Clinic, Rochester, MN, USA mojarad.majid@mayo.edu
3. TJZZF Zhang, Zhifei University of Montreal, Canada nie@iro.umontreal.ca
4. NTTUMUNSW-1 Jonnagaddala, Jitendra University of New South Wales, Australia z3339253@unsw.edu.au
5. SwissChocolate Cieliebak, Mark Zurich University of Applied Sciences, Switzerland ciel@zhaw.ch
6. DLIR Wang, Wenting InnoCellence Systems wenting.wang@innocellence.com
7. NTTUMUNSW-2 Dai, Hong-Jie National Taitun University, Taiwan hjdai@nttu.edu.tw

 

 

 

 

© DIEGO LAB 2015 Competition Organisers.