activity
20182022
most citedText Compression-aided Transformer Encoding

51 citations · 74 across the 8 of their papers we have counts for

collaborators

21 papers

cs.CL2022

Nested Named Entity Recognition as Holistic Structure Parsing

Yifei Yang, Zuchao Li, Hai Zhao

As a fundamental natural language processing task and one of core knowledge extraction techniques, named entity recognition (NER) is widely used to extract information from texts f…

cs.CL202151 cited

Text Compression-aided Transformer Encoding

Zuchao Li, Zhuosheng Zhang, Hai Zhao +4

Text encoding is one of the most important steps in Natural Language Processing (NLP). It has been done well by the self-attention mechanism in the current state-of-the-art Transfo…

cs.CL2020

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…

cs.CL20202 cited

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…

cs.CL2020

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…

cs.CL2020

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…