Users and Assessors in the Context of INEX: Are Relevance Dimensions Relevant?
Jovan Pehcevski, James A. Thom, Anne-Marie Vercoustre
Abstract
The main aspects of XML retrieval are identified by analysing and comparing the following two behaviours: the behaviour of the assessor when judging the relevance of returned document components; and the behaviour of users when interacting with components of XML documents. We argue that the two INEX relevance dimensions, Exhaustivity and Specificity, are not orthogonal dimensions; indeed, an empirical analysis of each dimension reveals that the grades of the two dimensions are correlated to each other. By analysing the level of agreement between the assessor and the users, we aim at identifying the best units of retrieval. The results of our analysis show that the highest level of agreement is on highly relevant and on non-relevant document components, suggesting that only the end points of the INEX 10-point relevance scale are perceived in the same way by both the assessor and the users. We propose a new definition of relevance for XML retrieval and argue that its corresponding relevance scale would be a better choice for INEX.
Create a lesson
Related papers
Tracing and Taming Hallucinated Terms via Subsequence-Association Filtering and Breadth-Aware Selection for LLM Query Expansion
Amit Kumar Jaiswal, Sagar Uprety, Prayag Tiwari
SPARQL-LLM in the TEXT2SPARQL 2026 Challenge
Panayiotis Smeros, Vincent Emonet, Ruijie Wang et al.
NEAR: Neighborhood-Aware Residuals for Memory Retrieval
Han Luo, Zhan Zhuang, Xu He et al.
PRIME: Pre-Retrieval Index Modeling Enhancement for Structured Document Retrieval-Real
Cheuk Hei Chung, Li Liu
Beyond the Final Embedding: Retrieving Memories from Token-Level Evidence
Han Luo, Zhan Zhuang, Xu He et al.
Compact and Efficient Indexes for Learned Sparse Retrieval
Franco Maria Nardini, Luca Rizzo, Cosimo Rulli et al.