Following the success of the joint NLP/ML symposium held in 2011, the second joint symposium on Natural Language Processing and Machine Learning will be held this year in Atlanta, Georgia. The goal of the symposium is to foster communication and collaboration between researchers in these synergistic areas, taking advantage of the nearby locations of NAACL-HLT 2013 and ICML 2013. It will bring together members of the Association for Computational Linguistics, and the International Machine Learning Society.
The symposium will feature a series of invited talks from top researchers covering several recent, exciting topics that are relevant to both Machine Learning and NLP. These areas include but are not limited to structured prediction, log-linear models, Bayesian modeling, deep learning, sparse representations, scalable probabilistic inference, semi-supervised and unsupervised training. Applications areas include language modeling, machine translation, learning semantic representations, topic modeling, among others.
Raymond Mooney (University of Texas at Austin)
Alexander Smola (Carnegie Mellon University / Google)
Andrew McCallum (University of Massachusetts, Amherst)
Daniel Hsu (Microsoft Research)
Jeff Siskind (Purdue)
Slav Petrov (Google)
Andre Martins (Priberam Labs / Instituto de Telecomunicacoes)
Scott Yih (Microsoft Research)
Richard Socher (Stanford University)
Vivek Srikumar (University of Illinois at Urbana-Champaign)
Chris Dyer (Carnegie Mellon University)
Kevin Gimpel (Toyota Technological Institute, Chicago)
More updates coming soon.
Organizing CommitteeDan Roth University of Illinois at Urbana-Champaign