8 citations · 17 across the 20 of their papers we have counts for
21 papers
VQ-SAD: Vector Quantized Structure Aware Diffusion For Molecule Generation
Farshad Noravesh, Reza Haffari, Layki Soon +1
Many diffusion based molecule generation methods ignore the symbolic information of molecules and represent the atom and bond type as one hot representation. Methods based on Morga…
LePREC: Reasoning as Classification over Structured Factors for Assessing Relevance of Legal Issues
Fanyu Wang, Xiaoxi Kang, Paul Burgess +6
More than half of the global population struggles to meet their civil justice needs due to limited legal resources. While Large Language Models (LLMs) have demonstrated impressive…
Document-Level Zero-Shot Relation Extraction with Entity Side Information
Mohan Raj Chanthran, Soon Lay Ki, Ong Huey Fang +1
Document-Level Zero-Shot Relation Extraction (DocZSRE) aims to predict unseen relation labels in text documents without prior training on specific relations. Existing approaches re…
DialogXpert: Driving Intelligent and Emotion-Aware Conversations through Online Value-Based Reinforcement Learning with LLM Priors
Tazeek Bin Abdur Rakib, Ambuj Mehrish, Lay-Ki Soon +2
Large-language-model (LLM) agents excel at reactive dialogue but struggle with proactive, goal-driven interactions due to myopic decoding and costly planning. We introduce DialogXp…
Are Graph Attention Networks Able to Model Structural Information?
Farshad Noravesh, Reza Haffari, Layki Soon +1
Graph Attention Networks (GATs) have emerged as powerful models for learning expressive representations from such data by adaptively weighting neighboring nodes through attention m…
LGRPool: Hierarchical Graph Pooling Via Local-Global Regularisation
Farshad Noravesh, Reza Haffari, Layki Soon +1
Hierarchical graph pooling(HGP) are designed to consider the fact that conventional graph neural networks(GNN) are inherently flat and are also not multiscale. However, most HGP me…
ACCESS : A Benchmark for Abstract Causal Event Discovery and Reasoning
Vy Vo, Lizhen Qu, Tao Feng +6
Identifying cause-and-effect relationships is critical to understanding real-world dynamics and ultimately causal reasoning. Existing methods for identifying event causality in NLP…
Attending To Syntactic Information In Biomedical Event Extraction Via Graph Neural Networks
Farshad Noravesh, Reza Haffari, Ong Huey Fang +3
Many models are proposed in the literature on biomedical event extraction(BEE). Some of them use the shortest dependency path(SDP) information to represent the argument classificat…
Iterative Window Mean Filter: Thwarting Diffusion-based Adversarial Purification
Hanrui Wang, Ruoxi Sun, Cunjian Chen +4
Face authentication systems have brought significant convenience and advanced developments, yet they have become unreliable due to their sensitivity to inconspicuous perturbations,…
Automating IRAC Analysis in Malaysian Contract Law using a Semi-Structured Knowledge Base
Xiaoxi Kang, Lizhen Qu, Lay-Ki Soon +2
The effectiveness of Large Language Models (LLMs) in legal reasoning is often limited due to the unique legal terminologies and the necessity for highly specialized knowledge. Thes…
RENOVI: A Benchmark Towards Remediating Norm Violations in Socio-Cultural Conversations
Haolan Zhan, Zhuang Li, Xiaoxi Kang +14
Norm violations occur when individuals fail to conform to culturally accepted behaviors, which may lead to potential conflicts. Remediating norm violations requires social awarenes…
Malaysian English News Decoded: A Linguistic Resource for Named Entity and Relation Extraction
Mohan Raj Chanthran, Lay-Ki Soon, Huey Fang Ong +1
Standard English and Malaysian English exhibit notable differences, posing challenges for natural language processing (NLP) tasks on Malaysian English. Unfortunately, most of the e…
l2Match: Optimization Techniques on Subgraph Matching Algorithm using Label Pair, Neighboring Label Index, and Jump-Redo method
C. Q. Cheng, K. S. Wong, L. K. Soon
Graph database is designed to store bidirectional relationships between objects and facilitate the traversal process to extract a subgraph. However, the subgraph matching process i…
Can ChatGPT Perform Reasoning Using the IRAC Method in Analyzing Legal Scenarios Like a Lawyer?
Xiaoxi Kang, Lizhen Qu, Lay-Ki Soon +4
Large Language Models (LLMs), such as ChatGPT, have drawn a lot of attentions recently in the legal domain due to its emergent ability to tackle a variety of legal tasks. However,…
How well ChatGPT understand Malaysian English? An Evaluation on Named Entity Recognition and Relation Extraction
Mohan Raj Chanthran, Lay-Ki Soon, Huey Fang Ong +1
Recently, ChatGPT has attracted a lot of interest from both researchers and the general public. While the performance of ChatGPT in named entity recognition and relation extraction…
SocialDial: A Benchmark for Socially-Aware Dialogue Systems
Haolan Zhan, Zhuang Li, Yufei Wang +10
Dialogue systems have been widely applied in many scenarios and are now more powerful and ubiquitous than ever before. With large neural models and massive available data, current…
Crude Oil-related Events Extraction and Processing: A Transfer Learning Approach
Meisin Lee, Lay-Ki Soon, Eu-Gene Siew
One of the challenges in event extraction via traditional supervised learning paradigm is the need for a sizeable annotated dataset to achieve satisfactory model performance. It is…
CrudeOilNews: An Annotated Crude Oil News Corpus for Event Extraction
Meisin Lee, Lay-Ki Soon, Eu-Gene Siew +1
In this paper, we present CrudeOilNews, a corpus of English Crude Oil news for event extraction. It is the first of its kind for Commodity News and serve to contribute towards reso…
Effective Use of Graph Convolution Network and Contextual Sub-Tree forCommodity News Event Extraction
Meisin Lee, Lay-Ki Soon, Eu-Gene Siew
Event extraction in commodity news is a less researched area as compared to generic event extraction. However, accurate event extraction from commodity news is useful in abroad ran…
An Annotated Commodity News Corpus for Event Extraction
Meisin Lee, Lay-Ki Soon, Eu-Gene Siew +1
Commodity News contains a wealth of information such as sum-mary of the recent commodity price movement and notable events that led tothe movement. Through event extraction, useful…
Prefix-based Labeling Annotation for Effective XML Fragmentation
Kok-Leong Koong, Su-Cheng Haw, Lay-Ki Soon +1
XML is gradually employed as a standard of data exchange in web environment since its inception in the 90s until present. It serves as a data exchange between systems and other app…