Some Interesting Conferences (to be updated):

ACL/HLT 2016 (Association for Computational Linguistics/Human Language Technologies)

AMIA and JAMIA (Journal of the American Medical Informatics Association)

AIR Web/Web Quality 2011

ECIR 2017 (European Conference on Information Retrieval)

AIRS (Asian Information Retrieval Conference)

ICML (International Conference on Machine Learning)

AAAI ICWSM 2017.

ISMB/ECCB 2017  (Intelligent Systems for Molecular Biology/European Conference on Computational Biology)
JCDL 2017
KDD (ACM SIG Knowledge Discovery and Data Mining)

SIGIR 2017

WWW 2017
WSDM 2017
TREC proceedings

Goal: To study current papers from journals and conference proceedings in text retrieval and text mining. Examples of problems include topic models, web retrieval and web mining, ranking strategies, ambiguity resolution, knowledge discovery, web phenomenon including social networks, information extraction and text classification. The reading group is lead by Professor Padmini Srinivasan. Interested students (from beginning to advanced students) and faculty are invited to participate in the reading group. Participation format is informal with individuals taking turns to present an overview of the selected paper and lead the discussion. This forum has resulted in collaborative projects and published papers.

1. August 30: (Padmini Srinivasan)
• Sanderson and Joho. Forming Test Collections with No System Pooling. SIGIR 2004.
• Overview of Test of Time SIGIR paper award.
2. September 6: (Shehroze Farooqi)
• Brennan, Michael, Sadia Afroz, and Rachel Greenstadt. "Adversarial stylometry: Circumventing authorship recognition to preserve privacy and anonymity." ACM Transactions on Information and System Security (TISSEC) 15.3 (2012): 12
3. September 13 (Momina Tabish):
• Karystianis et al. Modelling and extraction of variability in free-text medication prescriptions from an anonymised primary care electronic medical record research database. BMC Medical Informatics & Decision Making, 16:18, 2016
4. September 20: (Jon Rusert)
• Pennacchiotti and Popescu. A Machine Learning Approach to Twitter User Classification, ICWSM 2011.
5. September 27: (Dat Hong)
• Jia et al. AttriInfer: Inferring User Attributes in Online Social Networks Using Markov Random Fields. WWW 2017.
6. October 4: (Osama Khalid)
• Yamaguchi et al., Online User Location Inference Exploiting Spatiotemporal Correlations in Social Streams. CIKM, 2014.
7. October 11: (Huyne Le)
Chatzakou et al. Mean Birds: Detecting Aggression and Bullying on Twitter, Proceedings of the 2017 ACM on Web Science Conference (WebSci’17)
8. October 18: (Umar Iqbal)
Ikram et al. Towards Seamless Tracking-Free Web: Improved Detection of Trackers via One-class Learning. Privacy Enhancing Technologies Symposium, 2017.
9. October 25: (Momina Tabish)
Cocos et al., Deep learning for pharmacovigilance: recurrent neural network architectures for labeling adverse drug reactions in Twitter posts. JAMIA, 2017
10. November 1: (Jonathan Rusert)
Ozdikis et al. A survey on location estimation techniques for events detected in Twitter. Knowl Inf Syst (2017) 52:291–339
11. November 8: (Dat Hong)
Priedhorsky et al. Inferring the Origin Locations of Tweets with Quantitive Confidence. CSCW 2014
12. November 15: (Umar Iqbal)
Bhagavatula et al., Leveraging Machine Learning to Improve Unwanted Resource Filtering. AISec, 2014.
13. November 22: THANKSGIVING
14. November 29 (Shehroze Farooqi)
Shetty, Rakshith, Bernt Schiele, and Mario Fritz. "Author Attribute Anonymity by Adversarial Training of Neural Machine Translation." arXiv preprint arXiv:1711.01921 (2017)
15. December 6: (Huyen Le)
Zannettou et al. The Web Centipede: Understanding How Web Communities Influence Each Other Through the Lens of Mainstream and Alternative News Sources. IMC, 2017.