Domain Knowledge Empowered Structured Neural Net for End-to-End Event Temporal Relation Extraction
Rujun Han, Yichao Zhou and Nanyun Peng. EMNLP 2020 (to appear) [acceptance rate: 22.4%]
TORQUE: A Reading Comprehension Dataset of Temporal Ordering Questions.
Qiang Ning, Hao Wu, Rujun Han, Nanyun Peng, Matt Gardner, Dan Roth. EMNLP 2020 (to appear) [acceptance rate: 22.4%]
Becoming a Dentist: Tracing Professional Identity Development Through Mixed Methods Data Mining of Student Reflections.
Alyssa Wise, Sameen Reza, Rujun Han. ICLS 2020
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
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%]