| Natural Questions: a Benchmark for Question Answering Research. | 0 | 0.34 | 2019 |
| CoNLL 2017 Shared Task: Multilingual Parsing from Raw Text to Universal Dependencies. | 0 | 0.34 | 2018 |
| Universal Semantic Parsing. | 0 | 0.34 | 2017 |
| Natural Language Processing with Small Feed-Forward Networks. | 5 | 0.44 | 2017 |
| SyntaxNet Models for the CoNLL 2017 Shared Task. | 2 | 0.37 | 2017 |
| Globally Normalized Transition-Based Neural Networks | 111 | 3.29 | 2016 |
| Universal Dependencies v1: A Multilingual Treebank Collection. | 79 | 2.68 | 2016 |
| Improved Transition-Based Parsing and Tagging with Neural Networks | 16 | 0.70 | 2015 |
| Structured Training For Neural Network Transition-Based Parsing | 82 | 2.36 | 2015 |
| Temporal Analysis of Language through Neural Language Models. | 37 | 2.02 | 2014 |
| Grammar as a Foreign Language. | 237 | 10.73 | 2014 |
| Learning Compact Lexicons for CCG Semantic Parsing. | 14 | 0.60 | 2014 |
| Efficient parallel CKY parsing using GPUs. | 2 | 0.38 | 2014 |
| Universal Dependency Annotation for Multilingual Parsing. | 0 | 0.34 | 2013 |
| Source-Side Classifier Preordering for Machine Translation. | 21 | 0.70 | 2013 |
| Token and Type Constraints for Cross-Lingual Part-of-Speech Tagging. | 70 | 2.05 | 2013 |
| Google's hybrid approach to research | 4 | 0.72 | 2012 |
| Using search-logs to improve query tagging | 14 | 0.61 | 2012 |
| Syntactic annotations for the Google Books Ngram Corpus | 73 | 4.23 | 2012 |
| Vine pruning for efficient multi-pass dependency parsing | 22 | 0.95 | 2012 |
| A Universal Part-of-Speech Tagset | 260 | 10.62 | 2011 |
| Training a parser for machine translation reordering | 31 | 0.85 | 2011 |
| Multi-source transfer of delexicalized dependency parsers | 103 | 2.72 | 2011 |
| Unsupervised part-of-speech tagging with bilingual graph-based projections | 120 | 3.57 | 2011 |
| Learning Better Monolingual Models with Unannotated Bilingual Text. | 23 | 0.90 | 2010 |
| Uptraining for accurate deterministic question parsing | 44 | 1.64 | 2010 |
| Self-training with products of latent variable grammars | 23 | 1.09 | 2010 |
| Products of random latent variable grammars | 30 | 1.31 | 2010 |
| Efficient graph-based semi-supervised learning of structured tagging models | 62 | 1.92 | 2010 |
| Randomized Pruning: Efficiently Calculating Expectations in Large Dynamic Programs. | 2 | 0.40 | 2009 |
| Sparse multi-scale grammars for discriminative latent variable parsing | 17 | 0.96 | 2008 |
| Coarse-to-fine syntactic machine translation using language projections | 22 | 1.00 | 2008 |
| Learning Structured Models for Phone Recognition | 0 | 0.34 | 2007 |
| The Infinite {PCFG} Using Hierarchical {Dirichlet} Processes | 80 | 6.27 | 2007 |
| Improved Inference for Unlexicalized Parsing | 224 | 9.17 | 2007 |
| Discriminative Log-Linear Grammars with Latent Variables | 43 | 2.81 | 2007 |
| The Infinite PCFG Using Hierarchical Dirichlet Processes | 0 | 0.34 | 2007 |
| Learning Structured Models for Phone Recognition | 6 | 1.58 | 2007 |
| Learning and inference for hierarchically split PCFGs | 33 | 1.96 | 2007 |
| Non-Local Modeling with a Mixture of PCFGs. | 0 | 0.34 | 2006 |
| DETECTING CATEGORIES IN NEWS VIDEO USING ACOUSTIC, SPEECH, AND IMAGE FEATURES | 6 | 1.28 | 2006 |
| Learning accurate, compact, and interpretable tree annotation | 446 | 19.96 | 2006 |
| 3D Tracking = Classification + Interpolation | 41 | 2.35 | 2003 |
