activity
20192026
most citedA User-Centered, Interactive, Human-in-the-Loop Topic Modelling System

3 citations · 4 across the 5 of their papers we have counts for

collaborators

6 papers

cs.IR2026

EA-Agent: A Structured Multi-Step Reasoning Agent for Entity Alignment

Yixuan Nan, Xixun Lin, Yanmin Shang +4

Entity alignment (EA) aims to identify entities across different knowledge graphs (KGs) that refer to the same real-world object and plays a critical role in knowledge fusion and i…

cs.IR2023

Towards Better Query Classification with Multi-Expert Knowledge Condensation in JD Ads Search

Kun-Peng Ning, Ming Pang, Zheng Fang +6

Search query classification, as an effective way to understand user intents, is of great importance in real-world online ads systems. To ensure a lower latency, a shallow model (e.…

cs.CL2023★ 3 cited

A User-Centered, Interactive, Human-in-the-Loop Topic Modelling System

Zheng Fang, Lama Alqazlan, Du Liu +2

Human-in-the-loop topic modelling incorporates users' knowledge into the modelling process, enabling them to refine the model iteratively. Recent research has demonstrated the valu…

cs.CL2022

Disentangled Learning of Stance and Aspect Topics for Vaccine Attitude Detection in Social Media

Lixing Zhu, Zheng Fang, Gabriele Pergola +2

Building models to detect vaccine attitudes on social media is challenging because of the composite, often intricate aspects involved, and the limited availability of annotated dat…

cs.IR2021

A Query-Driven Topic Model

Zheng Fang, Yulan He, Rob Procter

Topic modeling is an unsupervised method for revealing the hidden semantic structure of a corpus. It has been increasingly widely adopted as a tool in the social sciences, includin…

cs.CL2019★ 1 cited

Joint Entity Linking with Deep Reinforcement Learning

Zheng Fang, Yanan Cao, Dongjie Zhang +3

Entity linking is the task of aligning mentions to corresponding entities in a given knowledge base. Previous studies have highlighted the necessity for entity linking systems to c…