activity
20182023
most citedSummarising Historical Text in Modern Languages

13 citations · 45 across the 12 of their papers we have counts for

collaborators

12 papers

cs.CV2023

PTVD: A Large-Scale Plot-Oriented Multimodal Dataset Based on Television Dramas

Chen Li, Xutan Peng, Teng Wang +5

Art forms such as movies and television (TV) dramas are reflections of the real world, which have attracted much attention from the multimodal learning community recently. However,…

cs.CL2023★ 3 cited

Dual-Gated Fusion with Prefix-Tuning for Multi-Modal Relation Extraction

Qian Li, Shu Guo, Cheng Ji +3

Multi-Modal Relation Extraction (MMRE) aims at identifying the relation between two entities in texts that contain visual clues. Rich visual content is valuable for the MMRE task,…

cs.CL2022★ 5 cited

On the Security Vulnerabilities of Text-to-SQL Models

Xutan Peng, Yipeng Zhang, Jingfeng Yang +1

Although it has been demonstrated that Natural Language Processing (NLP) algorithms are vulnerable to deliberate attacks, the question of whether such weaknesses can lead to softwa…

cs.LG2021★ 2 cited

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…

cs.CL2021★ 3 cited

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…

cs.LG2021★ 2 cited

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…

cs.CL2021★ 8 cited

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…

cs.CL2021★ 13 cited

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…

cs.SI2020

Heuristic Semi-Supervised Learning for Graph Generation Inspired by Electoral College

Chen Li, Xutan Peng, Hao Peng +4

Recently, graph-based algorithms have drawn much attention because of their impressive success in semi-supervised setups. For better model performance, previous studies learn to tr…

cs.CL2020★ 1 cited

Understanding Linearity of Cross-Lingual Word Embedding Mappings

Xutan Peng, Mark Stevenson, Chenghua Lin +1

The technique of Cross-Lingual Word Embedding (CLWE) plays a fundamental role in tackling Natural Language Processing challenges for low-resource languages. Its dominant approaches…

cs.AI2018★ 8 cited

Modeling relation paths for knowledge base completion via joint adversarial training

Chen Li, Xutan Peng, Shanghang Zhang +5

Knowledge Base Completion (KBC), which aims at determining the missing relations between entity pairs, has received increasing attention in recent years. Most existing KBC methods…

cs.SD2018

A Lightweight Music Texture Transfer System

Xutan Peng, Chen Li, Zhi Cai +3

Deep learning researches on the transformation problems for image and text have raised great attention. However, present methods for music feature transfer using neural networks ar…