Multi-source annotation projection of coreference chains: assessing strategies and testing opportunities Yulia Grishina and Manfred Stede Applied Computational Linguistics FSP Cognitive Science University of Potsdam

Source URL: www.aclweb.org

Jens Knoop, Uwe Zdun (Hrsg.): Software Engineering 2016, Lecture Notes in Informatics (LNI), Gesellschaft f¨ur Informatik, BonnEmpirical Software Metrics for Benchmarking of Verification Tools Yulia Demyanova T

Source URL: subs.emis.de

Augmenting Translation Models with Simulated Acoustic Confusions for Improved Spoken Language Translation Yulia Tsvetkov Florian Metze Chris Dyer Language Technologies Institute Carnegie Mellon University Pittsburgh, PA

Source URL: www.cs.cmu.edu

Augmenting English Adjective Senses with Supersenses Yulia Tsvetkov∗ Nathan Schneider∗ Dirk Hovy† Archna Bhatia∗ Manaal Faruqui∗ Chris Dyer∗ ∗ Language Technologies Institute, Carnegie Mellon University, Pi

Source URL: www.lrec-conf.org

Fast Patchwork Bootstrap for Quantifying Estimation Uncertainties in Sparse Random Networks Yulia R. Gel Vyacheslav Lyubchich

Source URL: www.mlgworkshop.org

Yulia Lubovtseva Date of birth: 31 August 1937, Leningrad. Education: Leningrad Institute of Fine Mechanics and Optics ,1960 Degrees:

Source URL: b.gcras.ru

Yulia Lubovtseva Date of birth: 31 August 1937, Leningrad. Education: Leningrad Institute of Fine Mechanics and Optics ,1960 Degrees:

Source URL: www.gcras.ru

• Chemistry
• Matter
• Condensed matter physics
• Aerosol
• Colloidal chemistry
• Colloids
• Physical chemistry
• Solids

Learning the Curriculum with Bayesian Optimization for Task-Specific Word Representation Learning Yulia Tsvetkov♠ Manaal Faruqui♠ Wang Ling♣ Brian MacWhinney♠ Chris Dyer♣♠ ♠ Carnegie Mellon University ♣ G

Source URL: www.aclweb.org

• Machine learning
• Computational linguistics
• Artificial neural networks
• Natural language processing
• Graphical models
• Word embedding
• Word-sense disambiguation
• Word2vec
• Conditional random field
• Named-entity recognition
• Curriculum
• Support vector machine

Catching Uncertainty of Wind: A Blend of Sieve Bootstrap and Regime Switching Models for Probabilistic Short-term Forecasting of Wind Speed Yulia R. Gel University of Texas at Dallas, USA Vyacheslav Lyubchich

Source URL: esc.cbl.umces.edu

• Statistical inference
• Statistical forecasting
• Time series models
• Time series analysis
• Signal processing
• Bootstrapping
• Forecasting
• Autoregressive model
• Wind farm
• Wind
• Resampling
• Prediction

Uncertainty in numerical weather forecasting via ensembles of initializations Yulia Gel, University of Washington. Joint work with Adrian Raftery and Tilmann Gneiting, University of Washington

Source URL: www2.mmm.ucar.edu

• Statistical forecasting
• Climate modeling
• Weather forecasting
• Weather prediction
• Ensemble forecasting
• Numerical weather prediction
• MM5
• Forecasting
• Meteorology
• Data assimilation
• Atmospheric model