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researcher

Jia Wu

24 papers hereh-index 222.6k citations39 works total

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

author position
  • middle author21
  • last author1

Across the 22 of 24 papers where every author was matched, so the position is known.

fields
  • cs.LG13
  • cs.CL4
  • cs.AI2
  • cs.SI2
  • cs.CV1
  • cs.IR1
same name
  • Jia Wu — 21 papers, h 8
  • Jia Wu — 17 papers, h 24
  • Jia Wu — 7 papers, h 24
  • Jia Wu — 6 papers, h 37
  • Jia Wu — 5 papers, h 10
  • Jia Wu — 5 papers, h 16

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
20152025
most citedA Comprehensive Survey on Pretrained Foundation Models: A History from BERT to ChatGPT

156 citations · 470 across the 24 of their papers we have counts for

collaborators
Showing cs.CLShow all

4 papers · 1 filter

cs.CL2021★ 1 cited

Event Extraction by Associating Event Types and Argument Roles

Qian Li, Shu Guo, Jia Wu +5

Event extraction (EE), which acquires structural event knowledge from texts, can be divided into two sub-tasks: event type classification and element extraction (namely identifying…

cs.CL2021★ 12 cited

A Survey on Deep Learning Event Extraction: Approaches and Applications

Qian Li, Jianxin Li, Jiawei Sheng +8

Event extraction (EE) is a crucial research task for promptly apprehending event information from massive textual data. With the rapid development of deep learning, EE based on dee…

cs.CL2021

Reinforcement Learning-based Dialogue Guided Event Extraction to Exploit Argument Relations

Qian Li, Hao Peng, Jianxin Li +5

Event extraction is a fundamental task for natural language processing. Finding the roles of event arguments like event participants is essential for event extraction. However, doi…

cs.CL2015★ 7 cited

An Empirical Study on Sentiment Classification of Chinese Review using Word Embedding

Yiou Lin, Hang Lei, Jia Wu +1

In this article, how word embeddings can be used as features in Chinese sentiment classification is presented. Firstly, a Chinese opinion corpus is built with a million comments fr…

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