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Xin Dong

21 papers hereh-index 231.7k citations38 works total

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

author position
  • first author1
  • middle author15
  • last author5

Across the 21 of 21 papers where every author was matched, so the position is known.

fields
  • cs.CL7
  • cs.LG4
  • cs.AI3
  • cs.DB3
  • cs.IR3
  • cs.CV1
same name
  • Xin Dong — 24 papers, h 16
  • Xin Dong — 21 papers, h 14
  • Xin Dong — 20 papers, h 6
  • Xin Dong — 16 papers, h 17
  • Xin Dong — 9 papers, h 5
  • Xin Dong — 7 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
20182021
most citedOpenTag: Open Attribute Value Extraction from Product Profiles [Deep Learning, Active Learning, Named Entity Recognition]

157 citations · 653 across the 20 of their papers we have counts for

collaborators
Showing 2018Show all

3 papers · 1 filter

cs.LG2018★ 10 cited

LinkNBed: Multi-Graph Representation Learning with Entity Linkage

Rakshit Trivedi, Bunyamin Sisman, Jun Ma +3

Knowledge graphs have emerged as an important model for studying complex multi-relational data. This has given rise to the construction of numerous large scale but incomplete knowl…

cs.CL2018★ 157 cited

OpenTag: Open Attribute Value Extraction from Product Profiles [Deep Learning, Active Learning, Named Entity Recognition]

Guineng Zheng, Subhabrata Mukherjee, Xin Luna Dong +1

Extraction of missing attribute values is to find values describing an attribute of interest from a free text input. Most past related work on extraction of missing attribute value…

cs.AI2018★ 9 cited

CERES: Distantly Supervised Relation Extraction from the Semi-Structured Web

Colin Lockard, Xin Luna Dong, Arash Einolghozati +1

The web contains countless semi-structured websites, which can be a rich source of information for populating knowledge bases. Existing methods for extracting relations from the DO…

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