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Yijun Wang

4 papers hereh-index 233 citations7 works total

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

author position
  • first author1
  • middle author3

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

fields
  • cs.CL3
  • q-fin.ST1
same name
  • Yijun Wang — 12 papers, h 8
  • Yijun Wang — 11 papers, h 4
  • Yijun Wang — 10 papers, h 5
  • Yijun Wang — 9 papers, h 10
  • Yijun Wang — 6 papers, h 1
  • Yijun Wang — 5 papers, h 30

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
20202023
most citedYACLC: A Chinese Learner Corpus with Multidimensional Annotation

10 citations · 16 across the 4 of their papers we have counts for

collaborators

4 papers

cs.CL2023★ 3 cited

HIORE: Leveraging High-order Interactions for Unified Entity Relation Extraction

Yijun Wang, Changzhi Sun, Yuanbin Wu +3

Entity relation extraction consists of two sub-tasks: entity recognition and relation extraction. Existing methods either tackle these two tasks separately or unify them with word-…

cs.CL2022

Few Clean Instances Help Denoising Distant Supervision

Yufang Liu, Ziyin Huang, Yijun Wang +5

Existing distantly supervised relation extractors usually rely on noisy data for both model training and evaluation, which may lead to garbage-in-garbage-out systems. To alleviate…

cs.CL2021★ 10 cited

YACLC: A Chinese Learner Corpus with Multidimensional Annotation

Yingying Wang, Cunliang Kong, Liner Yang +8

Learner corpus collects language data produced by L2 learners, that is second or foreign-language learners. This resource is of great relevance for second language acquisition rese…

q-fin.ST2020★ 3 cited

Stock2Vec: A Hybrid Deep Learning Framework for Stock Market Prediction with Representation Learning and Temporal Convolutional Network

Xing Wang, Yijun Wang, Bin Weng +1

We have proposed to develop a global hybrid deep learning framework to predict the daily prices in the stock market. With representation learning, we derived an embedding called St…

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