Browsing and Searching Metadata of TREC
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 …
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
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 …
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 …
process, so needs to be completed to enhance its integrity. In real knowledge graphs …
Denoising Attention for Query-aware User Modeling
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 …
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
This paper analyzes the most common problems limiting reproducibility of Information
Retrieval research and provides researchers with insights and guidelines to improve the …
Retrieval research and provides researchers with insights and guidelines to improve the …
ASPIRE: Assistive System for Performance Evaluation in IR
Information Retrieval (IR) evaluation involves far more complexity than merely presenting
performance measures in a table. Researchers often need to compare multiple models …
performance measures in a table. Researchers often need to compare multiple models …