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ACL 2016 & Research at Google

Sunday, August 7, 2016

Posted by Slav Petrov, Research Scientist2016 Annual Meeting of the Association for Computational LinguisticsNatural Language Processingblueg.co/NLUTeamPapersGeneralized Transition-based Dependency Parsing via Control ParametersBernd Bohnet, Ryan McDonald, Emily Pitler, Ji MaLearning the Curriculum with Bayesian Optimization for Task-Specific Word Representation LearningYulia Tsvetkov, Manaal Faruqui, Wang Ling (Google DeepMind), Chris Dyer (Google DeepMind)Morpho-syntactic Lexicon Generation Using Graph-based Semi-supervised LearningTACLManaal Faruqui, Ryan McDonald, Radu SoricutMany Languages, One ParserTACLWaleed Ammar, George Mulcaire, Miguel Ballesteros, Chris Dyer (Google DeepMind)^*, Noah A. Smith
Latent Predictor Networks for Code GenerationWang Ling (Google DeepMind), Phil Blunsom (Google DeepMind), Edward Grefenstette (Google DeepMind), Karl Moritz Hermann (Google DeepMind), Tomáš Kočiský (Google DeepMind), Fumin Wang (Google DeepMind), Andrew Senior (Google DeepMind)
Collective Entity Resolution with Multi-Focal AttentionAmir Globerson, Nevena Lazic, Soumen Chakrabarti, Amarnag Subramanya, Michael Ringgaard, Fernando PereiraPlato: A Selective Context Model for Entity ResolutionTACLNevena Lazic, Amarnag Subramanya, Michael Ringgaard, Fernando Pereira
WikiReading: A Novel Large-scale Language Understanding Task over WikipediaDaniel Hewlett, Alexandre Lacoste, Llion Jones, Illia Polosukhin, Andrew Fandrianto, Jay Han, Matthew Kelcey, David Berthelot
Stack-propagation: Improved Representation Learning for SyntaxYuan Zhang, David WeissCross-lingual Models of Word Embeddings: An Empirical ComparisonShyam Upadhyay, Manaal Faruqui, Chris Dyer (Google DeepMind), Dan Roth
Globally Normalized Transition-Based Neural Networks (Outstanding Papers Session)Daniel Andor, Chris Alberti, David Weiss, Aliaksei Severyn, Alessandro Presta, Kuzman Ganchev, Slav Petrov, Michael CollinsPostersCross-lingual projection for class-based language modelsBeat Gfeller, Vlad Schogol, Keith HallSynthesizing Compound Words for Machine TranslationAustin Matthews, Eva Schlinger^*, Alon Lavie, Chris Dyer (Google DeepMind)^*
Cross-Lingual Morphological Tagging for Low-Resource LanguagesJan Buys, Jan A. BothaWorkshops1st Workshop on Representation Learning for NLPRaia Hadsell (Google DeepMind)Edward Grefenstette (Google DeepMind), Phil Blunsom (Google DeepMind), Karl Moritz Hermann (Google DeepMind)Tomáš Kočiský (Google DeepMind), Wang Ling (Google DeepMind), Ankur Parikh (Google), John Platt (Google), Oriol Vinyals (Google DeepMind)1st Workshop on Evaluating Vector-Space Representations for NLPProblems With Evaluation of Word Embeddings Using Word Similarity TasksManaal Faruqui, Yulia Tsvetkov, Pushpendre Rastogi, Chris Dyer (Google DeepMind)^*Correlation-based Intrinsic Evaluation of Word Vector RepresentationsYulia Tsvetkov, Manaal Faruqui, Chris Dyer (Google DeepMind)SIGFSM Workshop on Statistical NLP and Weighted AutomataDistributed representation and estimation of WFST-based n-gram modelsCyril Allauzen, Michael Riley, Brian RoarkPynini: A Python library for weighted finite-state grammar compilationKyle Gorman
* Work completed at CMU^↩