Publications

2024

1. ACL

   Enhancing Hallucination Detection through Perturbation-Based Synthetic Data Generation in System Responses

   Dongxu Zhang, Varun Prashant Gangal, Barrett Martin Lattimer, and Yi Yang

   In Proceedings of the 62th Annual Meeting of the Association for Computational Linguistics 2024

   Paper Bib

   @inproceedings{zhang2024halugen,
     title = {Enhancing Hallucination Detection through Perturbation-Based Synthetic Data Generation in System Responses},
     author = {Zhang, Dongxu and Gangal, Varun Prashant and Lattimer, Barrett Martin and Yang, Yi},
     booktitle = {Proceedings of the 62th Annual Meeting of the Association for Computational Linguistics},
     year = {2024},
     publisher = {Association for Computational Linguistics},
   }

2022

1. NeurIPS

   Modeling Transitivity and Cyclicity in Directed Graphs via Binary Code Box Embeddings

   Dongxu Zhang, Michael Boratko, Cameron Musco, and Andrew McCallum

   Advances in Neural Information Processing Systems 2022

   Bib

     title = {Modeling Transitivity and Cyclicity in Directed Graphs via Binary Code Box Embeddings},
     author = {Zhang, Dongxu and Boratko, Michael and Musco, Cameron and McCallum, Andrew},
     journal = {Advances in Neural Information Processing Systems},
     year = {2022}
   }

2. LREC

   A Distant Supervision Corpus for Extracting Biomedical Relationships Between Chemicals, Diseases and Genes

   Dongxu Zhang*, Sunil Mohan*, Michaela Torkar, and Andrew McCallum

   In Proceedings of the Thirteenth International Conference on Language Resources and Evaluation (LREC) 2022

   Paper Bib Code Data

   @inproceedings{zhang2022distant,
     title = {A Distant Supervision Corpus for Extracting Biomedical Relationships Between Chemicals, Diseases and Genes},
     author = {Zhang*, Dongxu and Mohan*, Sunil and Torkar, Michaela and McCallum, Andrew},
     data = {https://github.com/chanzuckerberg/ChemDisGene/tree/master/baseline},
     booktitle = {Proceedings of the Thirteenth International Conference on Language Resources and Evaluation ({LREC})},
     year = {2022},
     publisher = {European Language Resources Association (ELRA)},
   }

3. LREC

   Enhanced Distant Supervision with State-Change Information for Relation Extraction

   Jui Shah*, Dongxu Zhang*, Sam Brody, and Andrew McCallum

   In Proceedings of the Thirteenth International Conference on Language Resources and Evaluation (LREC) 2022

   Paper Bib

   @inproceedings{jui2022statechangere,
     title = {Enhanced Distant Supervision with State-Change Information for Relation Extraction},
     author = {Shah*, Jui and Zhang*, Dongxu and Brody, Sam and McCallum, Andrew},
     booktitle = {Proceedings of the Thirteenth International Conference on Language Resources and Evaluation ({LREC})},
     year = {2022},
     publisher = {European Language Resources Association (ELRA)},
   }

4. ACL

   Event-Event Relation Extraction using Probabilistic Box Embedding

   EunJeong Hwang, Jay-Yoon Lee, Tianyi Yang, Dhruvesh Patel,  Dongxu Zhang, and Andrew McCallum

   In Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers) 2022

   Paper Bib

   @inproceedings{hwang2022event,
     title = {Event-Event Relation Extraction using Probabilistic Box Embedding},
     author = {Hwang, EunJeong and Lee, Jay-Yoon and Yang, Tianyi and Patel, Dhruvesh and Zhang, Dongxu and McCallum, Andrew},
     booktitle = {Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers)},
     year = {2022},
     publisher = {Association for Computational Linguistics},
     paper = {https://aclanthology.org/2022.acl-short.26}
   }

2021

1. NeurIPS

   Capacity and Bias of Learned Geometric Embeddings for Directed Graphs

   Michael Boratko*, Dongxu Zhang*, Nicholas Monath, Luke Vilnis, Kenneth L. Clarkson, and Andrew McCallum

   Advances in Neural Information Processing Systems 2021

   Paper Bib Code

   @article{boratko2021capacity,
     title = {Capacity and Bias of Learned Geometric Embeddings for Directed Graphs},
     author = {Boratko*, Michael and Zhang*, Dongxu and Monath, Nicholas and Vilnis, Luke and Clarkson, Kenneth L. and McCallum, Andrew},
     journal = {Advances in Neural Information Processing Systems},
     volume = {34},
     pages = {16423--16436},
     year = {2021},
   }

2020

1. NeurIPS

   Improving local identifiability in probabilistic box embeddings

   Shib Dasgupta*, Michael Boratko*,  Dongxu Zhang, Luke Vilnis, Xiang Li, and Andrew McCallum

   Advances in Neural Information Processing Systems 2020

   Paper Bib

   @article{dasgupta2020improving,
     title = {Improving local identifiability in probabilistic box embeddings},
     author = {Dasgupta*, Shib and Boratko*, Michael and Zhang, Dongxu and Vilnis, Luke and Li, Xiang and McCallum, Andrew},
     journal = {Advances in Neural Information Processing Systems},
     volume = {33},
     pages = {182--192},
     year = {2020},
   }

2019

1. NAACL

   OpenKI: Integrating Open Information Extraction and Knowledge Bases with Relation Inference

   Dongxu Zhang, Subhabrata Mukherjee, Colin Lockard, Xin Luna Dong, and Andrew McCallum

   In Proceedings of NAACL-HLT 2019

   Paper Bib Data

   @inproceedings{zhang2019openki,
     title = {OpenKI: Integrating Open Information Extraction and Knowledge Bases with Relation Inference},
     author = {Zhang, Dongxu and Mukherjee, Subhabrata and Lockard, Colin and Dong, Xin Luna and McCallum, Andrew},
     data = {https://github.com/zhangdongxu/relation-inference-naacl19},
     booktitle = {Proceedings of NAACL-HLT},
     pages = {762--772},
     year = {2019},
     paper = {https://aclanthology.org/N19-1083/}
   }

2. NeurIPS

   Search-guided, lightly-supervised training of structured prediction energy networks

   Amirmohammad Rooshenas,  Dongxu Zhang, Gopal Sharma, and Andrew McCallum

   Advances in Neural Information Processing Systems 2019

   Paper Bib

   @article{rooshenas2019search,
     title = {Search-guided, lightly-supervised training of structured prediction energy networks},
     author = {Rooshenas, Amirmohammad and Zhang, Dongxu and Sharma, Gopal and McCallum, Andrew},
     journal = {Advances in Neural Information Processing Systems},
     volume = {32},
     year = {2019},
   }

2018

1. Technique Report

   Word embedding perturbation for sentence classification

   Dongxu Zhang, and Zhichao Yang

   arXiv preprint arXiv:1804.08166 2018

   Paper Bib Code

   @article{zhang2018word,
     title = {Word embedding perturbation for sentence classification},
     author = {Zhang, Dongxu and Yang, Zhichao},
     journal = {arXiv preprint arXiv:1804.08166},
     year = {2018},
   }

2. ICLR

   Smoothing the geometry of probabilistic box embeddings

   Xiang Li*, Luke Vilnis*,  Dongxu Zhang, Michael Boratko, and Andrew McCallum

   In International Conference on Learning Representations 2018

   Paper Bib

   @inproceedings{li2018smoothing,
     title = {Smoothing the geometry of probabilistic box embeddings},
     author = {Li*, Xiang and Vilnis*, Luke and Zhang, Dongxu and Boratko, Michael and McCallum, Andrew},
     booktitle = {International Conference on Learning Representations},
     year = {2018},
     paper = {https://openreview.net/forum?id=H1xSNiRcF7}
   }

2017

1. SIGIR WS

   Pku@ clscisumm-17: Citation contextualization

   Dongxu Zhang, and Sujian Li

   In BIRNDL@ SIGIR (2) 2017

   Paper Bib

   @inproceedings{zhang2017pku,
     title = {Pku@ clscisumm-17: Citation contextualization},
     author = {Zhang, Dongxu and Li, Sujian},
     booktitle = {BIRNDL@ SIGIR (2)},
     year = {2017},
   }

2016

1. COLING

   Bitext name tagging for cross-lingual entity annotation projection

   Dongxu Zhang, Boliang Zhang, Xiaoman Pan, Xiaocheng Feng, Heng Ji, and Weiran Xu

   In Proceedings of the 26th International Conference on Computational Linguistics: Technical Papers 2016

   Paper Bib

   @inproceedings{zhang2016bitext,
     title = {Bitext name tagging for cross-lingual entity annotation projection},
     author = {Zhang, Dongxu and Zhang, Boliang and Pan, Xiaoman and Feng, Xiaocheng and Ji, Heng and Xu, Weiran},
     booktitle = {Proceedings of the 26th International Conference on Computational Linguistics: Technical Papers},
     pages = {461--470},
     year = {2016},
     paper = {https://aclanthology.org/C16-1045/}
   }

2. Technique Report

   Learning from LDA using deep neural networks

   Dongxu Zhang, Tianyi Luo, and Dong Wang

   2016

   Paper Bib Code Data

   @incollection{zhang2016learning,
     title = {Learning from LDA using deep neural networks},
     data = {https://github.com/zhangdongxu/dnnlearnlda/},
     author = {Zhang, Dongxu and Luo, Tianyi and Wang, Dong},
     booktitle = {Natural language understanding and intelligent applications},
     pages = {657--664},
     year = {2016},
     publisher = {Springer},
   }

2015

1. Technique Report

   Relation classification via recurrent neural network

   Dongxu Zhang, and Dong Wang

   arXiv preprint arXiv:1508.01006 2015

   Paper Bib Data

   @article{zhang2015relation,
     title = {Relation classification via recurrent neural network},
     author = {Zhang, Dongxu and Wang, Dong},
     data = {https://github.com/zhangdongxu/kbp37},
     journal = {arXiv preprint arXiv:1508.01006},
     year = {2015},
   }

2. ACL WS

   Joint semantic relevance learning with text data and graph knowledge

   Dongxu Zhang, Bin Yuan, Dong Wang, and Rong Liu

   In Proceedings of the 3rd workshop on continuous vector space models and their compositionality 2015

   Paper Bib Code

   @inproceedings{zhang2015joint,
     title = {Joint semantic relevance learning with text data and graph knowledge},
     author = {Zhang, Dongxu and Yuan, Bin and Wang, Dong and Liu, Rong},
     booktitle = {Proceedings of the 3rd workshop on continuous vector space models and their compositionality},
     pages = {32--40},
     year = {2015},
     paper = {https://aclanthology.org/W15-4004/}
   }