52 citations · 63 across the 3 of their papers we have counts for
6 papers
Guided Generation of Cause and Effect
Zhongyang Li, Xiao Ding, Ting Liu +2
We present a conditional text generation framework that posits sentential expressions of possible causes and effects. This framework depends on two novel resources we develop in th…
Modeling Event Background for If-Then Commonsense Reasoning Using Context-aware Variational Autoencoder
Li Du, Xiao Ding, Ting Liu +1
Understanding event and event-centered commonsense reasoning are crucial for natural language processing (NLP). Given an observed event, it is trivial for human to infer its intent…
Event Representation Learning Enhanced with External Commonsense Knowledge
Xiao Ding, Kuo Liao, Ting Liu +2
Prior work has proposed effective methods to learn event representations that can capture syntactic and semantic information over text corpus, demonstrating their effectiveness for…
Learning to Rank for Plausible Plausibility
Zhongyang Li, Tongfei Chen, Benjamin Van Durme
Researchers illustrate improvements in contextual encoding strategies via resultant performance on a battery of shared Natural Language Understanding (NLU) tasks. Many of these tas…
Story Ending Prediction by Transferable BERT
Zhongyang Li, Xiao Ding, Ting Liu
Recent advances, such as GPT and BERT, have shown success in incorporating a pre-trained transformer language model and fine-tuning operation to improve downstream NLP systems. How…
Constructing Narrative Event Evolutionary Graph for Script Event Prediction
Zhongyang Li, Xiao Ding, Ting Liu
Script event prediction requires a model to predict the subsequent event given an existing event context. Previous models based on event pairs or event chains cannot make full use…