12 citations · 15 across the 6 of their papers we have counts for
6 papers
PeaCoK: Persona Commonsense Knowledge for Consistent and Engaging Narratives
Silin Gao, Beatriz Borges, Soyoung Oh +5
Sustaining coherent and engaging narratives requires dialogue or storytelling agents to understand how the personas of speakers or listeners ground the narrative. Specifically, the…
ComFact: A Benchmark for Linking Contextual Commonsense Knowledge
Silin Gao, Jena D. Hwang, Saya Kanno +3
Understanding rich narratives, such as dialogues and stories, often requires natural language processing systems to access relevant knowledge from commonsense knowledge graphs. How…
HyKnow: End-to-End Task-Oriented Dialog Modeling with Hybrid Knowledge Management
Silin Gao, Ryuichi Takanobu, Wei Peng +2
Task-oriented dialog (TOD) systems typically manage structured knowledge (e.g. ontologies and databases) to guide the goal-oriented conversations. However, they fall short of handl…
End-to-End Task-Oriented Dialog Modeling with Semi-Structured Knowledge Management
Silin Gao, Ryuichi Takanobu, Antoine Bosselut +1
Current task-oriented dialog (TOD) systems mostly manage structured knowledge (e.g. databases and tables) to guide the goal-oriented conversations. However, they fall short of hand…
Paraphrase Augmented Task-Oriented Dialog Generation
Silin Gao, Yichi Zhang, Zhijian Ou +1
Neural generative models have achieved promising performance on dialog generation tasks if given a huge data set. However, the lack of high-quality dialog data and the expensive da…
Integrating Discrete and Neural Features via Mixed-feature Trans-dimensional Random Field Language Models
Silin Gao, Zhijian Ou, Wei Yang +1
There has been a long recognition that discrete features (n-gram features) and neural network based features have complementary strengths for language models (LMs). Improved perfor…