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Yaping Huang

4 papers hereh-index 5134 citations12 works total

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

author position
  • middle author2
  • last author1

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

fields
  • cs.CL4
same name
  • Yaping Huang — 13 papers, h 25
  • Yaping Huang — 4 papers, h 2
  • Yaping Huang — 1 paper, h 2
  • Yaping Huang — 1 paper, h 4
  • Yaping Huang — 1 paper, h 15

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
20212024
most citedFew-Shot Domain Adaptation for Grammatical Error Correction via Meta-Learning

1 citations · 1 across the 4 of their papers we have counts for

collaborators

4 papers

cs.CL2024

From Text to CQL: Bridging Natural Language and Corpus Search Engine

Luming Lu, Jiyuan An, Yujie Wang +8

Natural Language Processing (NLP) technologies have revolutionized the way we interact with information systems, with a significant focus on converting natural language queries int…

cs.CL2023

Cost-efficient Crowdsourcing for Span-based Sequence Labeling: Worker Selection and Data Augmentation

Yujie Wang, Chao Huang, Liner Yang +5

This paper introduces a novel crowdsourcing worker selection algorithm, enhancing annotation quality and reducing costs. Unlike previous studies targeting simpler tasks, this study…

cs.CL2022

BLCU-ICALL at SemEval-2022 Task 1: Cross-Attention Multitasking Framework for Definition Modeling

Cunliang Kong, Yujie Wang, Ruining Chong +4

This paper describes the BLCU-ICALL system used in the SemEval-2022 Task 1 Comparing Dictionaries and Word Embeddings, the Definition Modeling subtrack, achieving 1st on Italian, 2…

cs.CL2021★ 1 cited

Few-Shot Domain Adaptation for Grammatical Error Correction via Meta-Learning

Shengsheng Zhang, Yaping Huang, Yun Chen +3

Most existing Grammatical Error Correction (GEC) methods based on sequence-to-sequence mainly focus on how to generate more pseudo data to obtain better performance. Few work addre…

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