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English
李祖超
硕士生导师
性别：男
出生日期：1995-12-20
学历：博士研究生毕业
在职信息：在职
所在单位：计算机学院
入职时间： 2021-12-08
办公地点：计算机学院大楼 E306
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论文成果
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[1].
Fine-grained Position Helps Memorizing More, A Novel Music Compound Transformer Model with Feature Interaction Fusion.
AAAI.
[2].
Explicit Alignment Learning for Neural Machine Translation.
IJCAI.
[3].
Text Compression-aided Transformer Encoding.
T-PAMI.
[4].
Multilingual Pre-training with Universal Dependency Learning.
NeurIPS.
[5].
Data-dependent Gaussian Prior Objective for Language Generation.
ICLR.
[6].
Global Greedy Dependency Parsing.
AAAI.
[7].
Explicit Sentence Compression for Neural Machine Translation.
AAAI.
[8].
Dependency or Span, End-to-End Uniform Semantic Role Labeling.
AAAI.
[9].
Syntax for Semantic Role Labeling, to Be, or Not to Be.
ACL.
[10].
Reorder and then Parse, Fast and Accurate Discontinuous Constituency Parsing.
EMNLP.
[11].
Nested Named Entity Recognition as Corpus Aware Holistic Structure Parsing.
COLING.
[12].
BiBL: AMR Parsing and Generation with Bidirectional Bayesian Learning.
COLING.
[13].
Incorporating Rich Syntax Information in Grammatical Error Correction.
IPM.
[14].
Neural Character-level Syntactic Parsing for Chinese.
JAIR.
[15].
HPSG-inspired Joint Neural Constituent and Dependency Parsing in O (n^3) Time Complexity.
TASLP.
[16].
Syntax Role for Neural Semantic Role Labeling.
CL.
[17].
Unsupervised Neural Machine Translation with Universal Grammar.
EMNLP.
[18].
Memory Network for Linguistic Structure Parsing.
TASLP.
[19].
A Unified Syntax-aware Framework for Semantic Role Labeling.
EMNLP.
[20].
Seq2seq Dependency Parsing.
COLING.
[21].
Syntax-aware Multilingual Semantic Role Labeling.
EMNLP.
[22].
Dependency and Span, Cross-Style Semantic Role Labeling on PropBank and NomBank.
TALLIP.
[23].
Cross-Domain Transfer Learning for Dependency Parsing.
NLPCC.
[24].
Effective Representation for Easy-First Dependency Parsing.
PRICAI.
[25].
Tri-training for Dependency Parsing Domain Adaptation.
TALLIP.
[26].
Restricted or Not: A General Training Framework for Neural Machine Translation.
ACL SRW.
[27].
What Works and Doesn't Work, A Deep Decoder for Neural Machine Translation.
ACL Findings.
[28].
High-order Semantic Role Labeling.
EMNLP Findings.
[29].
Reference Language based Unsupervised Neural Machine Translation.
EMNLP Findings.
[30].
Grammatical Error Correction as GAN-like Sequence Labeling.
ACL Findings.
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