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Aixin Sun

Nanyang Technological University

97 papers hereh-index 6418.6k citations341 works total

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

author position
  • sole author2
  • middle author59
  • last author30

Across the 91 of 97 papers where every author was matched, so the position is known.

fields
  • cs.CL43
  • cs.IR34
  • cs.CV6
  • cs.SI5
  • cs.AI4
  • cs.LG3
affiliations
  • Nanyang Technological University
Homepage
same name
  • Aixin Sun — 7 papers, h 2
  • Aixin Sun — 4 papers, h 0
  • Aixin Sun — 4 papers, h 2
  • Aixin Sun — 3 papers, h 2
  • Aixin Sun — 1 paper
  • Aixin Sun — 1 paper, h 1

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
20162025
most citedA Survey on Deep Learning for Named Entity Recognition

1.5k citations · 6.3k across the 95 of their papers we have counts for

collaborators
Showing 2019 · cs.CLShow all

4 papers · 2 filters

cs.CL2019

CASE: Context-Aware Semantic Expansion

Jialong Han, Aixin Sun, Haisong Zhang +2

In this paper, we define and study a new task called Context-Aware Semantic Expansion (CASE). Given a seed term in a sentential context, we aim to suggest other terms that well fit…

cs.CL2019★ 4 cited

ChID: A Large-scale Chinese IDiom Dataset for Cloze Test

Chujie Zheng, Minlie Huang, Aixin Sun

Cloze-style reading comprehension in Chinese is still limited due to the lack of various corpora. In this paper we propose a large-scale Chinese cloze test dataset ChID, which stud…

cs.CL2019★ 8 cited

Targeted Sentiment Analysis: A Data-Driven Categorization

Jiaxin Pei, Aixin Sun, Chenliang Li

Targeted sentiment analysis (TSA), also known as aspect based sentiment analysis (ABSA), aims at detecting fine-grained sentiment polarity towards targets in a given opinion docume…

cs.CL2019★ 2 cited

Understanding the Stability of Medical Concept Embeddings

Grace E. Lee, Aixin Sun

Frequency is one of the major factors for training quality word embeddings. Several work has recently discussed the stability of word embeddings in general domain and suggested fac…

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