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researcher

Yu-Ming Shang

4 papers here

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

author position
  • first author3

Across the 3 of 4 papers where every author was matched, so the position is known.

fields
  • cs.CL4

identity via Semantic Scholar / OpenAlex

activity
20192022
most citedOneRel:Joint Entity and Relation Extraction with One Module in One Step

21 citations · 27 across the 4 of their papers we have counts for

collaborators

4 papers

cs.CL2022★ 2 cited

Relational Triple Extraction: One Step is Enough

Yu-Ming Shang, Heyan Huang, Xin Sun +2

Extracting relational triples from unstructured text is an essential task in natural language processing and knowledge graph construction. Existing approaches usually contain two f…

cs.CL2022★ 21 cited

OneRel:Joint Entity and Relation Extraction with One Module in One Step

Yu-Ming Shang, Heyan Huang, Xian-Ling Mao

Joint entity and relation extraction is an essential task in natural language processing and knowledge graph construction. Existing approaches usually decompose the joint extractio…

cs.CL2020★ 1 cited

Learning Relation Ties with a Force-Directed Graph in Distant Supervised Relation Extraction

Yuming Shang, Heyan Huang, Xin Sun +1

Relation ties, defined as the correlation and mutual exclusion between different relations, are critical for distant supervised relation extraction. Existing approaches model this…

cs.CL2019★ 3 cited

Are Noisy Sentences Useless for Distant Supervised Relation Extraction?

Yuming Shang

The noisy labeling problem has been one of the major obstacles for distant supervised relation extraction. Existing approaches usually consider that the noisy sentences are useless…

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