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06/15/2021
Scene Transformer: A unified multi-task model for behavior prediction and planning
Predicting the future motion of multiple agents is necessary for plannin...
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01/11/2020
Learning Cross-Context Entity Representations from Text
Language modeling tasks, in which words, or word-pieces, are predicted o...
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10/09/2018
A Fast, Compact, Accurate Model for Language Identification of Codemixed Text
We address fine-grained multilingual language identification: providing ...
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08/20/2018
State-of-the-art Chinese Word Segmentation with Bi-LSTMs
A wide variety of neural-network architectures have been proposed for th...
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08/14/2018
Adversarial Neural Networks for Cross-lingual Sequence Tagging
We study cross-lingual sequence tagging with little or no labeled data i...
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04/23/2018
Linguistically-Informed Self-Attention for Semantic Role Labeling
The current state-of-the-art end-to-end semantic role labeling (SRL) mod...
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08/01/2017
Natural Language Processing with Small Feed-Forward Networks
We show that small and shallow feed-forward neural networks can achieve ...
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03/15/2017
SyntaxNet Models for the CoNLL 2017 Shared Task
We describe a baseline dependency parsing system for the CoNLL2017 Share...
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03/13/2017
DRAGNN: A Transition-based Framework for Dynamically Connected Neural Networks
In this work, we present a compact, modular framework for constructing n...
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03/21/2016
Stack-propagation: Improved Representation Learning for Syntax
Traditional syntax models typically leverage part-of-speech (POS) inform...
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03/19/2016
Globally Normalized Transition-Based Neural Networks
We introduce a globally normalized transition-based neural network model...
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06/19/2015
Structured Training for Neural Network Transition-Based Parsing
We present structured perceptron training for neural network transition-...
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08/06/2012