NLPExplorer

Dingcheng Li

Number of Papers:- 13

Number of Citations:- 6

First ACL Paper:- 2008

Latest ACL Paper:- 2022

Venues:-

BioNLP

NAACL

ACL

Findings

WS

EMNLP

Co-Authors:-

Alexander Hanbo Li

Amit Chakraborty

Christopher Chute

Similar Authors:-

Debasri Chakrabarti

Hemang Mandalia

PromptGen: Automatically Generate Prompts using Generative Models Findings NAACL

Yue Zhang | Hongliang Fei | Dingcheng Li | Ping Li |

Overcoming Catastrophic Forgetting During Domain Adaptation of Seq2seq Language Generation NAACL

Dingcheng Li | Zheng Chen | Eunah Cho | Jie Hao | Xiaohu Liu | Fan Xing | Chenlei Guo | Yang Liu |

Learning to Selectively Learn for Weakly Supervised Paraphrase Generation with Model-based Reinforcement Learning NAACL

Haiyan Yin | Dingcheng Li | Ping Li |

Learning to Selectively Learn for Weakly-supervised Paraphrase Generation EMNLP

Kaize Ding | Dingcheng Li | Alexander Hanbo Li | Xing Fan | Chenlei Guo | Yang Liu | Huan Liu |

A Deep Decomposable Model for Disentangling Syntax and Semantics in Sentence Representation EMNLP Findings

Dingcheng Li | Hongliang Fei | Shaogang Ren | Ping Li |

Contextual Rephrase Detection for Reducing Friction in Dialogue Systems EMNLP

Zhuoyi Wang | Saurabh Gupta | Jie Hao | Xing Fan | Dingcheng Li | Alexander Hanbo Li | Chenlei Guo |

Be More with Less: Hypergraph Attention Networks for Inductive Text Classification EMNLP

Kaize Ding | Jianling Wang | Jundong Li | Dingcheng Li | Huan Liu |

Integration of Knowledge Graph Embedding Into Topic Modeling with Hierarchical Dirichlet Process NAACL

Dingcheng Li | Siamak Zamani | Jingyuan Zhang | Ping Li |

End-to-end Deep Reinforcement Learning Based Coreference Resolution ACL

Hongliang Fei | Xu Li | Dingcheng Li | Ping Li |

Representing Clinical Diagnostic Criteria in Quality Data Model Using Natural Language Processing BioNLP WS

Na Hong | Dingcheng Li | Yue Yu | Hongfang Liu | Christopher G. Chute | Guoqian Jiang |

A Pronoun Anaphora Resolution System based on Factorial Hidden Markov Models ACL

Dingcheng Li | Tim Miller | William Schuler |

A Combination of Topic Models with Max-margin Learning for Relation Detection WS

Dingcheng Li | Swapna Somasundaran | Amit Chakraborty |

Conditional Random Fields and Support Vector Machines for Disorder Named Entity Recognition in Clinical Texts WS

Dingcheng Li | Guergana Savova | Karin Kipper-Schuler |

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