51 citations · 242 across the 54 of their papers we have counts for
7 papers · 1 filter
Adaptive Convolution for Semantic Role Labeling
Kashif Munir, Hai Zhao, Zuchao Li
Semantic role labeling (SRL) aims at elaborating the meaning of a sentence by forming a predicate-argument structure. Recent researches depicted that the effective use of syntax ca…
Cross-lingual Universal Dependency Parsing Only from One Monolingual Treebank
Kailai Sun, Zuchao Li, Hai Zhao
Syntactic parsing is a highly linguistic processing task whose parser requires training on treebanks from the expensive human annotation. As it is unlikely to obtain a treebank for…
SJTU-NICT's Supervised and Unsupervised Neural Machine Translation Systems for the WMT20 News Translation Task
Zuchao Li, Hai Zhao, Rui Wang +3
In this paper, we introduced our joint team SJTU-NICT 's participation in the WMT 2020 machine translation shared task. In this shared task, we participated in four translation dir…
High-order Semantic Role Labeling
Zuchao Li, Hai Zhao, Rui Wang +1
Semantic role labeling is primarily used to identify predicates, arguments, and their semantic relationships. Due to the limitations of modeling methods and the conditions of pre-i…
Document-level Neural Machine Translation with Document Embeddings
Shu Jiang, Hai Zhao, Zuchao Li +1
Standard neural machine translation (NMT) is on the assumption of document-level context independent. Most existing document-level NMT methods are satisfied with a smattering sense…
Syntax Role for Neural Semantic Role Labeling
Zuchao Li, Hai Zhao, Shexia He +1
Semantic role labeling (SRL) is dedicated to recognizing the semantic predicate-argument structure of a sentence. Previous studies in terms of traditional models have shown syntact…
Reference Language based Unsupervised Neural Machine Translation
Zuchao Li, Hai Zhao, Rui Wang +2
Exploiting a common language as an auxiliary for better translation has a long tradition in machine translation and lets supervised learning-based machine translation enjoy the enh…