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Shiqi Shen

6 papers hereh-index 101.9k citations20 works total

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

author position
  • first author2
  • middle author4

Across the 6 of 6 papers where every author was matched, so the position is known.

fields
  • cs.CL4
  • cs.CR2
Homepage
same name
  • Shiqi Shen — 3 papers, h 7
  • Shiqi Shen — 3 papers, h 1
  • Shiqi Shen — 3 papers, h 4
  • Shiqi Shen — 2 papers, h 2
  • Shiqi Shen — 1 paper, h 2

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
20152021
most citedTHUMT: An Open Source Toolkit for Neural Machine Translation

88 citations · 196 across the 6 of their papers we have counts for

collaborators
Showing cs.CLShow all

4 papers · 1 filter

cs.CL2017★ 88 cited

THUMT: An Open Source Toolkit for Neural Machine Translation

Jiacheng Zhang, Yanzhuo Ding, Shiqi Shen +4

This paper introduces THUMT, an open-source toolkit for neural machine translation (NMT) developed by the Natural Language Processing Group at Tsinghua University. THUMT implements…

cs.CL2016★ 38 cited

Neural Headline Generation with Sentence-wise Optimization

Ayana, Shiqi Shen, Yu Zhao +2

Recently, neural models have been proposed for headline generation by learning to map documents to headlines with recurrent neural networks. Nevertheless, as traditional neural net…

cs.CL2015★ 20 cited

Agreement-based Joint Training for Bidirectional Attention-based Neural Machine Translation

Yong Cheng, Shiqi Shen, Zhongjun He +4

The attentional mechanism has proven to be effective in improving end-to-end neural machine translation. However, due to the intricate structural divergence between natural languag…

cs.CL2015★ 43 cited

Minimum Risk Training for Neural Machine Translation

Shiqi Shen, Yong Cheng, Zhongjun He +4

We propose minimum risk training for end-to-end neural machine translation. Unlike conventional maximum likelihood estimation, minimum risk training is capable of optimizing model…

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