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Nan Ding

4 papers here

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

author position
  • first author1
  • middle author1
  • last author2

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

fields
  • cs.CL3
  • cs.LG1
ORCID 0000-0002-4876-6553
same name
  • Nan Ding — 3 papers
  • Nan Ding — 2 papers
  • Nan Ding — 1 paper, h 18
  • Nan Ding — 1 paper, h 23
  • Nan Ding — 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 citedDependent Hierarchical Normalized Random Measures for Dynamic Topic Modeling

17 citations · 30 across the 4 of their papers we have counts for

collaborators

4 papers

cs.CL2016★ 7 cited

Understanding Image and Text Simultaneously: a Dual Vision-Language Machine Comprehension Task

Nan Ding, Sebastian Goodman, Fei Sha +1

We introduce a new multi-modal task for computer systems, posed as a combined vision-language comprehension challenge: identifying the most suitable text describing a scene, given…

cs.CL2016★ 2 cited

Multilingual Word Embeddings using Multigraphs

Radu Soricut, Nan Ding

We present a family of neural-network--inspired models for computing continuous word representations, specifically designed to exploit both monolingual and multilingual text. This…

cs.CL2016★ 4 cited

Building Large Machine Reading-Comprehension Datasets using Paragraph Vectors

Radu Soricut, Nan Ding

We present a dual contribution to the task of machine reading-comprehension: a technique for creating large-sized machine-comprehension (MC) datasets using paragraph-vector models;…

cs.LG2012★ 17 cited

Dependent Hierarchical Normalized Random Measures for Dynamic Topic Modeling

Changyou Chen, Nan Ding, Wray Buntine

We develop dependent hierarchical normalized random measures and apply them to dynamic topic modeling. The dependency arises via superposition, subsampling and point transition on…

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