16 citations · 22 across the 11 of their papers we have counts for
5 papers · 1 filter
Contrastive Representation Learning for Exemplar-Guided Paraphrase Generation
Haoran Yang, Wai Lam, Piji Li
Exemplar-Guided Paraphrase Generation (EGPG) aims to generate a target sentence which conforms to the style of the given exemplar while encapsulating the content information of the…
Sentence Semantic Regression for Text Generation
Wei Wang, Piji Li, Hai-Tao Zheng
Recall the classical text generation works, the generation framework can be briefly divided into two phases: \textbf{idea reasoning} and \textbf{surface realization}. The target of…
Dialogue Summarization with Supporting Utterance Flow Modeling and Fact Regularization
Wang Chen, Piji Li, Hou Pong Chan +1
Dialogue summarization aims to generate a summary that indicates the key points of a given dialogue. In this work, we propose an end-to-end neural model for dialogue summarization…
CLINE: Contrastive Learning with Semantic Negative Examples for Natural Language Understanding
Dong Wang, Ning Ding, Piji Li +1
Despite pre-trained language models have proven useful for learning high-quality semantic representations, these models are still vulnerable to simple perturbations. Recent works a…
A Training-free and Reference-free Summarization Evaluation Metric via Centrality-weighted Relevance and Self-referenced Redundancy
Wang Chen, Piji Li, Irwin King
In recent years, reference-based and supervised summarization evaluation metrics have been widely explored. However, collecting human-annotated references and ratings are costly an…