Filtered Semi-Markov CRFConference on Empirical Methods in Natural Language Processing (EMNLP), 2023 |
Survey of Low-Resource Machine TranslationComputational Linguistics (CL), 2021 |
Deep Policy Dynamic Programming for Vehicle Routing ProblemsIntegration of AI and OR Techniques in Constraint Programming (CPAIOR), 2021 |
An Empirical Investigation of Beam-Aware Training in SupertaggingFindings (Findings), 2020 |
Unsupervised Text Generation by Learning from SearchNeural Information Processing Systems (NeurIPS), 2020 |
Rewarding Smatch: Transition-Based AMR Parsing with Reinforcement
LearningAnnual Meeting of the Association for Computational Linguistics (ACL), 2019 |
A Smoother Way to Train Structured Prediction ModelsNeural Information Processing Systems (NeurIPS), 2019 |
Collective Entity Disambiguation with Structured Gradient Tree BoostingNorth American Chapter of the Association for Computational Linguistics (NAACL), 2018 |
SEARNN: Training RNNs with Global-Local LossesInternational Conference on Learning Representations (ICLR), 2017 |
Global Neural CCG Parsing with Optimality GuaranteesConference on Empirical Methods in Natural Language Processing (EMNLP), 2016 |
Sequence-to-Sequence Learning as Beam-Search OptimizationConference on Empirical Methods in Natural Language Processing (EMNLP), 2016 |
A Credit Assignment Compiler for Joint PredictionNeural Information Processing Systems (NeurIPS), 2014 |
Latent Structured RankingConference on Uncertainty in Artificial Intelligence (UAI), 2012 Jason Weston John Blitzer |
A Large-Scale Exploration of Effective Global Features for a Joint
Entity Detection and Tracking ModelHuman Language Technology - The Baltic Perspectiv (LTBP), 2005 |
Search-based Structured PredictionMachine-mediated learning (ML), 2009 |
Cross-Task Knowledge-Constrained Self TrainingConference on Empirical Methods in Natural Language Processing (EMNLP), 2008 |