Incremental Parsing with Minimal Features Using Bi-Directional LSTM

21 June 2016

Papers citing "Incremental Parsing with Minimal Features Using Bi-Directional LSTM"

11 / 11 papers shown

Title
Recursive Non-Autoregressive Graph-to-Graph Transformer for Dependency Parsing with Iterative Refinement Alireza Mohammadshahi James Henderson 27 33 0 29 Mar 2020
Dynamic Oracles for Top-Down and In-Order Shift-Reduce Constituent Parsing Daniel Fernández-González Carlos Gómez-Rodríguez 17 7 0 25 Oct 2018
A New Multi-vehicle Trajectory Generator to Simulate Vehicle-to-Vehicle Encounters Wenhao Ding Wenshuo Wang Ding Zhao 22 13 0 15 Sep 2018
ServeNet: A Deep Neural Network for Web Services Classification Yilong Yang Nafees Qamar Peng Liu Lianchao Ding Weiru Wang Zhi Li Bingqing Shen 19 10 0 14 Jun 2018
What's Going On in Neural Constituency Parsers? An Analysis David Gaddy Mitchell Stern Dan Klein NAI 14 74 0 20 Apr 2018
Colorless green recurrent networks dream hierarchically Kristina Gulordava Piotr Bojanowski Edouard Grave Tal Linzen Marco Baroni 20 502 0 29 Mar 2018
Event Nugget Detection with Forward-Backward Recurrent Neural Networks Reza Ghaeini Xiaoli Z. Fern Liang Huang Prasad Tadepalli 38 60 0 15 Feb 2018
TricorNet: A Hybrid Temporal Convolutional and Recurrent Network for Video Action Segmentation Li Ding Chenliang Xu 31 51 0 22 May 2017
A Simple and Accurate Syntax-Agnostic Neural Model for Dependency-based Semantic Role Labeling Diego Marcheggiani Anton Frolov Ivan Titov 6 110 0 10 Jan 2017
Span-Based Constituency Parsing with a Structure-Label System and Provably Optimal Dynamic Oracles James Cross Liang Huang 30 121 0 20 Dec 2016
Improving neural networks by preventing co-adaptation of feature detectors Geoffrey E. Hinton Nitish Srivastava A. Krizhevsky Ilya Sutskever Ruslan Salakhutdinov VLM 266 7,634 0 03 Jul 2012