Preprints
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DEER: A Data Efficient Language Model for Event Temporal Reasoning.
Rujun Han, Xiang Ren and Nanyun Peng. -
EventPlus: A Temporal Event Understanding Pipeline.
Mingyu Derek Ma, Jiao Sun, Mu Yang, Kung-Hsiang Huang, Nuan Wen, Shikhar Singh, Rujun Han, Nanyun Peng
Publications
2021
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Modeling Context in Answer Sentence Selection Systems on a Latency Budget.
Rujun Han, Luca Soldaini and Alessandro Moschitti. EACL 2021 (to appear) -
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 (to appear) [acceptance rate: 21.0%]
2020
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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%] -
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%] -
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
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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%] -
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%] -
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
- 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%]