activity
20232026
collaborators

6 papers

cs.CL2026

Conditional information Retrieval for Longitudinal Survey Harmonisation

Wing Yan Li, Zeqiang Wang, Michelle Lin +2

Identifying conceptually equivalent questions across different surveys is a challenging information retrieval task where surface-level textual similarity is insufficient. Two quest…

cs.CL2026

OrthoGeoLoRA: Geometric Parameter-Efficient Fine-Tuning for Structured Social Science Concept Retrieval on theWeb

Zeqiang Wang, Xinyue Wu, Chenxi Li +4

Large language models and text encoders increasingly power web-based information systems in the social sciences, including digital libraries, data catalogues, and search interfaces…

cs.CL2025

Are Information Retrieval Approaches Good at Harmonising Longitudinal Survey Questions in Social Science?

Wing Yan Li, Zeqiang Wang, Jon Johnson +1

Automated detection of semantically equivalent questions in longitudinal social science surveys is crucial for long-term studies informing empirical research in the social, economi…

cs.CL2024

Revealing COVID-19's Social Dynamics: Diachronic Semantic Analysis of Vaccine and Symptom Discourse on Twitter

Zeqiang Wang, Jiageng Wu, Yuqi Wang +5

Social media is recognized as an important source for deriving insights into public opinion dynamics and social impacts due to the vast textual data generated daily and the 'uncons…

cs.CL2024

DKE-Research at SemEval-2024 Task 2: Incorporating Data Augmentation with Generative Models and Biomedical Knowledge to Enhance Inference Robustness

Yuqi Wang, Zeqiang Wang, Wei Wang +4

Safe and reliable natural language inference is critical for extracting insights from clinical trial reports but poses challenges due to biases in large pre-trained language models…

cs.CL2023

Zero-Shot Medical Information Retrieval via Knowledge Graph Embedding

Yuqi Wang, Zeqiang Wang, Wei Wang +4

In the era of the Internet of Things (IoT), the retrieval of relevant medical information has become essential for efficient clinical decision-making. This paper introduces MedFusi…