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Jie Hao

5 papers hereh-index 211.1k citations83 works total

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

author position
  • first author3
  • middle author1

Across the 4 of 5 papers where every author was matched, so the position is known.

fields
  • cs.CL4
  • cs.LG1
same name
  • Jie Hao — 9 papers, h 5
  • Jie Hao — 8 papers, h 54
  • Jie Hao — 8 papers, h 3
  • Jie Hao — 7 papers, h 1
  • Jie Hao — 4 papers, h 3
  • Jie Hao — 3 papers

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
20152022
most citedLocal Translation Prediction with Global Sentence Representation

20 citations · 25 across the 3 of their papers we have counts for

collaborators
Showing cs.CLShow all

4 papers · 1 filter

cs.CL2020★ 5 cited

Robust Dialogue Utterance Rewriting as Sequence Tagging

Jie Hao, Linfeng Song, Liwei Wang +3

The task of dialogue rewriting aims to reconstruct the latest dialogue utterance by copying the missing content from the dialogue context. Until now, the existing models for this t…

cs.CL2019

Multi-Granularity Self-Attention for Neural Machine Translation

Jie Hao, Xing Wang, Shuming Shi +2

Current state-of-the-art neural machine translation (NMT) uses a deep multi-head self-attention network with no explicit phrase information. However, prior work on statistical mach…

cs.CL2019

Towards Better Modeling Hierarchical Structure for Self-Attention with Ordered Neurons

Jie Hao, Xing Wang, Shuming Shi +2

Recent studies have shown that a hybrid of self-attention networks (SANs) and recurrent neural networks (RNNs) outperforms both individual architectures, while not much is known ab…

cs.CL2015★ 20 cited

Local Translation Prediction with Global Sentence Representation

Jiajun Zhang

Statistical machine translation models have made great progress in improving the translation quality. However, the existing models predict the target translation with only the sour…

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