Publications

• R2D2: Robust Data-to-Text with Replacement Detection. [code]
  Linyong Nan, Lorenzo Jaime Flores, Yilun Zhao, Yixin Liu, Luke Benson, Weijin Zou, Dragomir Radev.
  Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing (EMNLP), 2022.

• FeTaQA: Free-form Table Question Answering. [dataset]
  Linyong Nan, Chiachun Hsieh, Ziming Mao, Xi Victoria Lin, Neha Verma, Rui Zhang, Wojciech Kryściński, Nick Schoelkopf, Riley Kong, Xiangru Tang, Murori Mutuma, Ben Rosand, Isabel Trindade, Renusree Bandaru, Jacob Cunningham, Caiming Xiong, Dragomir Radev.
  Transactions of the Association for Computational Linguistics (TACL), 2022.

• DART: Open-Domain Structured Data Record to Text Generation. [dataset]
  Linyong Nan, Dragomir Radev, Rui Zhang, Amrit Rau, Abhinand Sivaprasad, Chiachun Hsieh, Xiangru Tang, Aadit Vyas, Neha Verma, Pranav Krishna, Yangxiaokang Liu, Nadia Irwanto, Jessica Pan, Faiaz Rahman, Ahmad Zaidi, Mutethia Mutuma, Yasin Tarabar, Ankit Gupta, Tao Yu, Yi Chern Tan, Xi Victoria Lin, Caiming Xiong, Richard Socher, Nazneen Fatema Rajani.
  Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (NAACL), 2021.

• Detecting Urgency Status of Crisis Tweets: A Transfer Learning Approach for Low Resource Languages.
  Efsun Sarioglu Kayi, Linyong Nan, Bohan Qu, Mona Diab, Kathleen McKeown.
  Proceedings of the 28th International Conference on Computational Linguistics (COLING), 2020.

• Assessing the ability of CNNs to detect Glaucoma from OCT probability maps.
  Kaveri A. Thakoor, Qian Zheng, Linyong Nan, Xinhui Li, Emmanouill Tsamis, Rashmi Rajshekhar, Isht Dwivedi, Iddo Drori, Paul Sajda, Donald C. Hood.
  The Association for Research in Vision and Ophthalmology (ARVO) Annual Meeting, 2019.

• Accurate protein structure prediction by embeddings and deep learning representations.
  Iddo Drori, Darshan Thaker, Arjun Srivatsa, Daniel Jeong, Yueqi Wang, Linyong Nan, Fan Wu, Dimitri Leggas, Jinhao Lei, Weiyi Lu, Weilong Fu, Yuan Gao, Sashank Karri, Anand Kannan, Antonio Khalil Moretti, Chen Keasar, Itsik Pe’er.
  Machine Learning in Computational Biology, 2019.

• Guigle: A GUI Search Engine for Android Apps. [website]
  Carlos Bernal-Cardenas, Kevin Moran, Michele Tufano, Zichang Liu, Linyong Nan, Zhehan Shi, Denys Poshyvanyk.
  Proceedings 41st ACM/IEEE International Conference on Software Engineering (ICSE), Formal Research Tool Demonstration, 2019.

• High quality protein Q8 secondary structure prediction by diverse neural network architectures.
  Iddo Drori, Isht Dwivedi, Pranav Shrestha, Jeffrey Wan, Yueqi Wang, Yunchu He, Anthony Mazza, Hugh Krogh-Freeman, Dimitri Leggas, Kendal Sandridge, Linyong Nan, Kaveri Thakoor, Chinmay Joshi, Sonam Goenka, Chen Keasar, Itsik Pe’er.
  NeurIPS Workshop on Machine Learning for Molecules and Materials, 2018.