activity
20202022
most citedPsychology-guided Controllable Story Generation

5 citations · 6 across the 8 of their papers we have counts for

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9 papers · 1 filter

cs.CL20225 cited

Psychology-guided Controllable Story Generation

Yuqiang Xie, Yue Hu, Yunpeng Li +3

Controllable story generation is a challenging task in the field of NLP, which has attracted increasing research interest in recent years. However, most existing works generate a w…

cs.CL20221 cited

COMMA: Modeling Relationship among Motivations, Emotions and Actions in Language-based Human Activities

Yuqiang Xie, Yue Hu, Wei Peng +2

Motivations, emotions, and actions are inter-related essential factors in human activities. While motivations and emotions have long been considered at the core of exploring how pe…

cs.CL2022

CLSEG: Contrastive Learning of Story Ending Generation

Yuqiang Xie, Yue Hu, Luxi Xing +3

Story Ending Generation (SEG) is a challenging task in natural language generation. Recently, methods based on Pre-trained Language Models (PLM) have achieved great prosperity, whi…

cs.CL2022

Modeling Intention, Emotion and External World in Dialogue Systems

Wei Peng, Yue Hu, Luxi Xing +3

Intention, emotion and action are important elements in human activities. Modeling the interaction process between individuals by analyzing the relationships between these elements…

cs.CL2021

Coarse-to-Careful: Seeking Semantic-related Knowledge for Open-domain Commonsense Question Answering

Luxi Xing, Yue Hu, Jing Yu +2

It is prevalent to utilize external knowledge to help machine answer questions that need background commonsense, which faces a problem that unlimited knowledge will transmit noisy…

cs.CL2021

MCR-Net: A Multi-Step Co-Interactive Relation Network for Unanswerable Questions on Machine Reading Comprehension

Wei Peng, Yue Hu, Jing Yu +4

Question answering systems usually use keyword searches to retrieve potential passages related to a question, and then extract the answer from passages with the machine reading com…