24 citations · 43 across the 4 of their papers we have counts for
7 papers
A Generative Model for Joint Natural Language Understanding and Generation
Bo-Hsiang Tseng, Jianpeng Cheng, Yimai Fang +1
Natural language understanding (NLU) and natural language generation (NLG) are two fundamental and related tasks in building task-oriented dialogue systems with opposite objectives…
Building a Neural Semantic Parser from a Domain Ontology
Jianpeng Cheng, Siva Reddy, Mirella Lapata
Semantic parsing is the task of converting natural language utterances into machine interpretable meaning representations which can be executed against a real-world environment suc…
Dependency Grammar Induction with a Neural Variational Transition-based Parser
Bowen Li, Jianpeng Cheng, Yang Liu +1
Dependency grammar induction is the task of learning dependency syntax without annotated training data. Traditional graph-based models with global inference achieve state-of-the-ar…
Weakly-supervised Neural Semantic Parsing with a Generative Ranker
Jianpeng Cheng, Mirella Lapata
Weakly-supervised semantic parsers are trained on utterance-denotation pairs, treating logical forms as latent. The task is challenging due to the large search space and spuriousne…
Edina: Building an Open Domain Socialbot with Self-dialogues
Ben Krause, Marco Damonte, Mihai Dobre +6
We present Edina, the University of Edinburgh's social bot for the Amazon Alexa Prize competition. Edina is a conversational agent whose responses utilize data harvested from Amazo…
A Generative Parser with a Discriminative Recognition Algorithm
Jianpeng Cheng, Adam Lopez, Mirella Lapata
Generative models defining joint distributions over parse trees and sentences are useful for parsing and language modeling, but impose restrictions on the scope of features and are…