Preprints

  1. DEER: A Data Efficient Language Model for Event Temporal Reasoning.
    Rujun Han, Xiang Ren and Nanyun Peng.

  2. ESTER: A Machine Reading Comprehension Dataset for Event Semantic Relation Reasoning.
    Rujun Han, I-Hung Hsu, Jiao Sun, Julia Baylon, Qiang Ning, Dan Roth and Nanyun Peng.

Publications

2021

  1. EventPlus: A Temporal Event Understanding Pipeline.
    Mingyu Derek Ma, Jiao Sun, Mu Yang, Kung-Hsiang Huang, Nuan Wen, Shikhar Singh, Rujun Han, Nanyun Peng. NAACL 2021 Demostrations Track

  2. Modeling Context in Answer Sentence Selection Systems on a Latency Budget.
    Rujun Han, Luca Soldaini and Alessandro Moschitti. EACL 2021

  3. Clinical Temporal Relation Extraction with Probabilistic Soft Logic Regularization and Global Inference.
    Yichao Zhou, Yu Yan, Rujun Han, J. Harry Caufield, Kai-Wei Chang, Yizhou Sun, Peipei Ping and Wei Wang. AAAI 2021 [acceptance rate: 21.0%]

2020

  1. Domain Knowledge Empowered Structured Neural Net for End-to-End Event Temporal Relation Extraction. [Code]
    Rujun Han, Yichao Zhou and Nanyun Peng. EMNLP 2020 [acceptance rate: 22.4%]

  2. TORQUE: A Reading Comprehension Dataset of Temporal Ordering Questions. [Code]
    Qiang Ning, Hao Wu, Rujun Han, Nanyun Peng, Matt Gardner and Dan Roth. EMNLP 2020 [acceptance rate: 22.4%]

  3. Becoming a Dentist: Tracing Professional Identity Development Through Mixed Methods Data Mining of Student Reflections.
    Alyssa Wise, Sameen Reza and Rujun Han. ICLS 2020

2019

  1. Joint Event and Temporal Relation Extraction with Shared Representations and Structured Prediction. [Code]
    Rujun Han, Qiang Ning and Nanyun Peng. EMNLP 2019 [acceptance rate: 23.8%]

  2. Deep Structured Neural Network for Event Temporal Relation Extraction
    Rujun Han, I-Hung Hsu, Mu Yang, Aram Galstyan, Ralph Weischedel and Nanyun Peng. CoNLL 2019 [acceptance rate: 22.7%]

  3. Contextualized Word Embeddings Enhanced Event Temporal Relation Extraction for Story Understanding
    Rujun Han, Mengyue Liang, Bashar Alhafni and Nanyun Peng. NAACL 2019 Workshop on Narrative Understanding

2018

  1. Conditional Word Embedding and Hypothesis Testing via Bayes-by-Backprop. [Code]
    Rujun Han, Michael Gill, Arthur Spirling and Kyunghyun Cho. EMNLP 2018 [acceptance rate (short): 23.2%]