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Qi Zhang

School of Computer Science, Fudan University, Shanghai, China

4 papers hereh-index 314k citations92 works total

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

author position
  • middle author4

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

fields
  • cs.CL4
affiliations
  • School of Computer Science, Fudan University, Shanghai, China
Homepage
same name
  • Qi Zhang — 39 papers
  • Qi Zhang — 25 papers, h 24
  • Qi Zhang — 9 papers
  • Qi Zhang — 8 papers
  • Qi Zhang — 8 papers
  • Qi Zhang — 7 papers, h 10

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
20182022
most citedDistantly Supervised Named Entity Recognition using Positive-Unlabeled Learning

12 citations · 16 across the 3 of their papers we have counts for

collaborators

4 papers

cs.CL2022★ 2 cited

Kernel-Whitening: Overcome Dataset Bias with Isotropic Sentence Embedding

Songyang Gao, Shihan Dou, Qi Zhang +1

Dataset bias has attracted increasing attention recently for its detrimental effect on the generalization ability of fine-tuned models. The current mainstream solution is designing…

cs.CL2019★ 12 cited

Distantly Supervised Named Entity Recognition using Positive-Unlabeled Learning

Minlong Peng, Xiaoyu Xing, Qi Zhang +2

In this work, we explore the way to perform named entity recognition (NER) using only unlabeled data and named entity dictionaries. To this end, we formulate the task as a positive…

cs.CL2019★ 2 cited

Learning Task-specific Representation for Novel Words in Sequence Labeling

Minlong Peng, Qi Zhang, Xiaoyu Xing +3

Word representation is a key component in neural-network-based sequence labeling systems. However, representations of unseen or rare words trained on the end task are usually poor…

cs.CL2018

Long Short-Term Memory with Dynamic Skip Connections

Tao Gui, Qi Zhang, Lujun Zhao +4

In recent years, long short-term memory (LSTM) has been successfully used to model sequential data of variable length. However, LSTM can still experience difficulty in capturing lo…

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