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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 2019 · cs.CLShow all

4 papers · 2 filters

cs.CL2019★ 247 cited

TENER: Adapting Transformer Encoder for Named Entity Recognition

Hang Yan, Bocao Deng, Xiaonan Li +1

The Bidirectional long short-term memory networks (BiLSTM) have been widely used as an encoder in models solving the named entity recognition (NER) task. Recently, the Transformer…

cs.CL2019★ 17 cited

Learning Sparse Sharing Architectures for Multiple Tasks

Tianxiang Sun, Yunfan Shao, Xiaonan Li +4

Most existing deep multi-task learning models are based on parameter sharing, such as hard sharing, hierarchical sharing, and soft sharing. How choosing a suitable sharing mechanis…

cs.CL2019

A Concise Model for Multi-Criteria Chinese Word Segmentation with Transformer Encoder

Xipeng Qiu, Hengzhi Pei, Hang Yan +1

Multi-criteria Chinese word segmentation (MCCWS) aims to exploit the relations among the multiple heterogeneous segmentation criteria and further improve the performance of each si…

cs.CL2019

A Graph-based Model for Joint Chinese Word Segmentation and Dependency Parsing

Hang Yan, Xipeng Qiu, Xuanjing Huang

Chinese word segmentation and dependency parsing are two fundamental tasks for Chinese natural language processing. The dependency parsing is defined on word-level. Therefore word…

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