20 citations · 25 across the 6 of their papers we have counts for
6 papers
ConceptNet infused DialoGPT for Underlying Commonsense Understanding and Reasoning in Dialogue Response Generation
Ye Liu, Wolfgang Maier, Wolfgang Minker +1
The pre-trained conversational models still fail to capture the implicit commonsense (CS) knowledge hidden in the dialogue interaction, even though they were pre-trained with an en…
Attend, Memorize and Generate: Towards Faithful Table-to-Text Generation in Few Shots
Wenting Zhao, Ye Liu, Yao Wan +1
Few-shot table-to-text generation is a task of composing fluent and faithful sentences to convey table content using limited data. Despite many efforts having been made towards gen…
Context Matters in Semantically Controlled Language Generation for Task-oriented Dialogue Systems
Ye Liu, Wolfgang Maier, Wolfgang Minker +1
This work combines information about the dialogue history encoded by pre-trained model with a meaning representation of the current system utterance to realize contextual language…
Empathetic Dialogue Generation with Pre-trained RoBERTa-GPT2 and External Knowledge
Ye Liu, Wolfgang Maier, Wolfgang Minker +1
One challenge for dialogue agents is to recognize feelings of the conversation partner and respond accordingly. In this work, RoBERTa-GPT2 is proposed for empathetic dialogue gener…
Naturalness Evaluation of Natural Language Generation in Task-oriented Dialogues using BERT
Ye Liu, Wolfgang Maier, Wolfgang Minker +1
This paper presents an automatic method to evaluate the naturalness of natural language generation in dialogue systems. While this task was previously rendered through expensive an…
KG-BART: Knowledge Graph-Augmented BART for Generative Commonsense Reasoning
Ye Liu, Yao Wan, Lifang He +2
Generative commonsense reasoning which aims to empower machines to generate sentences with the capacity of reasoning over a set of concepts is a critical bottleneck for text genera…