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

3 citations · 7 across the 6 of their papers we have counts for

collaborators

6 papers

cs.CL2021

Unsupervised Full Constituency Parsing with Neighboring Distribution Divergence

Letian Peng, Zuchao Li, Hai Zhao

Unsupervised constituency parsing has been explored much but is still far from being solved. Conventional unsupervised constituency parser is only able to capture the unlabeled str…

cs.CL20213 cited

Sparse Fuzzy Attention for Structured Sentiment Analysis

Letian Peng, Zuchao Li, Hai Zhao

Attention scorers have achieved success in parsing tasks like semantic and syntactic dependency parsing. However, in tasks modeled into parsing, like structured sentiment analysis,…

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.CL2021

Neural Unsupervised Semantic Role Labeling

Kashif Munir, Hai Zhao, Zuchao Li

The task of semantic role labeling (SRL) is dedicated to finding the predicate-argument structure. Previous works on SRL are mostly supervised and do not consider the difficulty in…