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Zhiguo Wang

4 papers here

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author2
  • middle author2

Across the 4 of 4 papers where every author was matched, so the position is known.

fields
  • cs.CL4
ORCID 0000-0002-2412-6172
same name
  • Zhiguo Wang — 4 papers, h 37
  • Zhiguo Wang — 2 papers, h 4
  • Zhiguo Wang — 2 papers, h 10
  • Zhiguo Wang — 1 paper, h 11
  • Zhiguo Wang — 1 paper
  • Zhiguo Wang — 1 paper

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

most citedMulti-Perspective Context Matching for Machine Comprehension

113 citations · 151 across the 4 of their papers we have counts for

collaborators

4 papers

cs.CL2019★ 1 cited

Multi-Granular Text Encoding for Self-Explaining Categorization

Zhiguo Wang, Yue Zhang, Mo Yu +5

Self-explaining text categorization requires a classifier to make a prediction along with supporting evidence. A popular type of evidence is sub-sequences extracted from the input…

cs.CL2016★ 113 cited

Multi-Perspective Context Matching for Machine Comprehension

Zhiguo Wang, Haitao Mi, Wael Hamza +1

Previous machine comprehension (MC) datasets are either too small to train end-to-end deep learning models, or not difficult enough to evaluate the ability of current MC techniques…

cs.CL2016★ 8 cited

AMR-to-text generation as a Traveling Salesman Problem

Linfeng Song, Yue Zhang, Xiaochang Peng +2

The task of AMR-to-text generation is to generate grammatical text that sustains the semantic meaning for a given AMR graph. We at- tack the task by first partitioning the AMR grap…

cs.CL2016★ 29 cited

Supervised Attentions for Neural Machine Translation

Haitao Mi, Zhiguo Wang, Abe Ittycheriah

In this paper, we improve the attention or alignment accuracy of neural machine translation by utilizing the alignments of training sentence pairs. We simply compute the distance b…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.