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Zhiguo Wang

42 papers hereh-index 375.8k citations68 works total

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

author position
  • first author6
  • middle author28
  • last author1

Across the 35 of 42 papers where every author was matched, so the position is known.

fields
  • cs.CL38
  • cs.AI3
  • cs.LG1
same name
  • Zhiguo Wang — 15 papers, h 10
  • Zhiguo Wang — 6 papers, h 6
  • Zhiguo Wang — 5 papers, h 2
  • Zhiguo Wang — 4 papers, h 6
  • Zhiguo Wang — 3 papers, h 4
  • Zhiguo Wang — 2 papers, h 6

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

activity
20152023
most citedMulti-Perspective Context Matching for Machine Comprehension

113 citations · 502 across the 26 of their papers we have counts for

collaborators
Showing 2016 · cs.CLShow all

4 papers · 2 filters

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…

cs.CL2016★ 2 cited

Sense Embedding Learning for Word Sense Induction

Linfeng Song, Zhiguo Wang, Haitao Mi +1

Conventional word sense induction (WSI) methods usually represent each instance with discrete linguistic features or cooccurrence features, and train a model for each polysemous wo…

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