13 citations · 45 across the 12 of their papers we have counts for
5 papers · 1 filter
On the Latent Holes of VAEs for Text Generation
Ruizhe Li, Xutan Peng, Chenghua Lin
In this paper, we provide the first focused study on the discontinuities (aka. holes) in the latent space of Variational Auto-Encoders (VAEs), a phenomenon which has been shown to…
Generating Disentangled Arguments with Prompts: A Simple Event Extraction Framework that Works
Jinghui Si, Xutan Peng, Chen Li +2
Event Extraction bridges the gap between text and event signals. Based on the assumption of trigger-argument dependency, existing approaches have achieved state-of-the-art performa…
Highly Efficient Knowledge Graph Embedding Learning with Orthogonal Procrustes Analysis
Xutan Peng, Guanyi Chen, Chenghua Lin +1
Knowledge Graph Embeddings (KGEs) have been intensively explored in recent years due to their promise for a wide range of applications. However, existing studies focus on improving…
Cross-Lingual Word Embedding Refinement by Norm Optimisation
Xutan Peng, Chenghua Lin, Mark Stevenson
Cross-Lingual Word Embeddings (CLWEs) encode words from two or more languages in a shared high-dimensional space in which vectors representing words with similar meaning (regardles…
Summarising Historical Text in Modern Languages
Xutan Peng, Yi Zheng, Chenghua Lin +1
We introduce the task of historical text summarisation, where documents in historical forms of a language are summarised in the corresponding modern language. This is a fundamental…