Timothy Dozat

Stanford's Graph-based Neural Dependency Parser at the CoNLL 2017 Shared Task

2017

This paper describes the neural dependency parser submitted by Stanford to the CoNLL 2017 Shared Task on parsing Universal Dependencies.Our system uses relatively simple LSTM networks to produce part of speech tags and labeled dependency …

Simpler but More Accurate Semantic Dependency Parsing

2018

While syntactic dependency annotations concentrate on the surface or functional structure of a sentence, semantic dependency annotations aim to capture betweenword relationships that are more closely related to the meaning of a sentence, using graph-structured …

Deep Biaffine Attention for Neural Dependency Parsing

2016 · arXiv (Cornell University)

In this paper, we present our approach for Multilingual Open Information Extraction. Our sequence labeling based approach builds only on Universal Dependency representation to capture OpenIE’s regularities and to perform Cross-lingual Multilingual OpenIE. We propose …