activity
20192021
most citedCross-lingual Transferring of Pre-trained Contextualized Language Models

3 citations · 4 across the 4 of their papers we have counts for

collaborators

6 papers

cs.CL20213 cited

Cross-lingual Transferring of Pre-trained Contextualized Language Models

Zuchao Li, Kevin Parnow, Hai Zhao +4

Though the pre-trained contextualized language model (PrLM) has made a significant impact on NLP, training PrLMs in languages other than English can be impractical for two reasons:…

cs.CL20211 cited

Grammatical Error Correction as GAN-like Sequence Labeling

Kevin Parnow, Zuchao Li, Hai Zhao

In Grammatical Error Correction (GEC), sequence labeling models enjoy fast inference compared to sequence-to-sequence models; however, inference in sequence labeling GEC models is…

cs.CL2021

Head-driven Phrase Structure Parsing in O() Time Complexity

Zuchao Li, Junru Zhou, Hai Zhao +1

Constituent and dependency parsing, the two classic forms of syntactic parsing, have been found to benefit from joint training and decoding under a uniform formalism, Head-driven P…

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…

cs.CL2019

Global Greedy Dependency Parsing

Zuchao Li, Hai Zhao, Kevin Parnow

Most syntactic dependency parsing models may fall into one of two categories: transition- and graph-based models. The former models enjoy high inference efficiency with linear time…

cs.CL2019

Dependency and Span, Cross-Style Semantic Role Labeling on PropBank and NomBank

Zuchao Li, Hai Zhao, Junru Zhou +2

The latest developments in neural semantic role labeling (SRL) have shown great performance improvements with both the dependency and span formalisms/styles. Although the two style…