Browsing and Searching Metadata of TREC

T Breuer, EM Voorhees, I Soboroff - … of the 47th International ACM SIGIR …, 2024 - dl.acm.org
Information Retrieval (IR) research is deeply rooted in experimentation and evaluation, and
the Text REtrieval Conference (TREC) has been playing a central role in making that …

DESIRE-ME: Domain-Enhanced Supervised Information Retrieval Using Mixture-of-Experts

P Kasela, G Pasi, R Perego, N Tonellotto - European Conference on …, 2024 - Springer
Open-domain question answering requires retrieval systems able to cope with the diverse
and varied nature of questions, providing accurate answers across a broad spectrum of …

Implicit relational attention network for few-shot knowledge graph completion

XH Yang, QY Li, D Wei, HX Long - Applied Intelligence, 2024 - Springer
Abstract Knowledge Graphs can not contain all the knowledge during the construction
process, so needs to be completed to enhance its integrity. In real knowledge graphs …

Denoising Attention for Query-aware User Modeling

E Bassani, P Kasela, G Pasi - Findings of the Association for …, 2024 - aclanthology.org
Personalization of search results has gained increasing attention in the past few years, also
thanks to the development of Neural Networks-based approaches for Information Retrieval …

Mission Reproducibility: An Investigation on Reproducibility Issues in Machine Learning and Information Retrieval Research

M Staudinger, BMJ Kern, T Miksa… - 2024 IEEE 20th …, 2024 - ieeexplore.ieee.org
This paper analyzes the most common problems limiting reproducibility of Information
Retrieval research and provides researchers with insights and guidelines to improve the …

ASPIRE: Assistive System for Performance Evaluation in IR

G Peikos, W Kusa, S Symeonidis - arxiv preprint arxiv:2412.15759, 2024 - arxiv.org
Information Retrieval (IR) evaluation involves far more complexity than merely presenting
performance measures in a table. Researchers often need to compare multiple models …