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researcher

Hang Yan

47 papers hereh-index 243.8k citations56 works total

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

author position
  • first author6
  • middle author39

Across the 45 of 47 papers where every author was matched, so the position is known.

fields
  • cs.CL41
  • cs.AI2
  • cs.LG2
  • cs.CV1
  • cs.DC1
same name
  • Hang Yan — 14 papers, h 5
  • Hang Yan — 12 papers, h 7
  • Hang Yan — 7 papers, h 7
  • Hang Yan — 6 papers, h 3
  • Hang Yan — 6 papers, h 3
  • Hang Yan — 5 papers, h 5

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
20182024
most citedTENER: Adapting Transformer Encoder for Named Entity Recognition

247 citations · 400 across the 46 of their papers we have counts for

collaborators
Showing 2021 · cs.CLShow all

4 papers · 2 filters

cs.CL2021★ 4 cited

Accelerating BERT Inference for Sequence Labeling via Early-Exit

Xiaonan Li, Yunfan Shao, Tianxiang Sun +3

Both performance and efficiency are crucial factors for sequence labeling tasks in many real-world scenarios. Although the pre-trained models (PTMs) have significantly improved the…

cs.CL2021★ 11 cited

A Unified Generative Framework for Aspect-Based Sentiment Analysis

Hang Yan, Junqi Dai, Tuo ji +2

Aspect-based Sentiment Analysis (ABSA) aims to identify the aspect terms, their corresponding sentiment polarities, and the opinion terms. There exist seven subtasks in ABSA. Most…

cs.CL2021★ 5 cited

A Unified Generative Framework for Various NER Subtasks

Hang Yan, Tao Gui, Junqi Dai +3

Named Entity Recognition (NER) is the task of identifying spans that represent entities in sentences. Whether the entity spans are nested or discontinuous, the NER task can be cate…

cs.CL2021★ 12 cited

Does syntax matter? A strong baseline for Aspect-based Sentiment Analysis with RoBERTa

Junqi Dai, Hang Yan, Tianxiang Sun +2

Aspect-based Sentiment Analysis (ABSA), aiming at predicting the polarities for aspects, is a fine-grained task in the field of sentiment analysis. Previous work showed syntactic i…

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