Consumer Health Search at CLEF eHealth 2021

Date

Authors

Goeuriot, Lorraine
Suominen, Hanna
Pasi, Gabriella
Bassani, Elias
Brew-Sam, Nicola
González-Sáez, Gabriela
Kelly, Liadh
Mulhem, Philippe
Seneviratne, Sandaru
Upadhyay, Rishabh

Journal Title

Journal ISSN

Volume Title

Publisher

Access Statement

Research Projects

Organizational Units

Journal Issue

Abstract

This paper details materials, methods, results, and analyses of the Consumer Health Search Task of the CLEF eHealth 2021 Evaluation Lab. This task investigates the effectiveness of information retrieval (IR) approaches in providing access to medical information to laypeople. For this a TREC-style evaluation methodology was applied: a shared collection of documents and queries is distributed, participants' runs received, relevance assessments generated, and participants' submissions evaluated. The task generated a new representative web corpus including web pages acquired from a 2021 CommonCrawl and social media content from Twitter and Reddit, along with a new collection of 55 manually generated layperson medical queries and their respective credibility, understandability, and topicality assessments for returned documents. This year's task focused on three subtask: (i) ad-hoc IR, (ii) weakly supervised IR, and (iii) document credibility prediction. In total, 15 runs were submitted to the three subtasks: eight addressed the ad-hoc IR task, three the weakly supervised IR challenge, and 4 the document credibility prediction challenge. As in previous years, the organizers have made data and tools associated with the task available for future research and development.

Description

Citation

Source

CEUR Workshop Proceedings

Book Title

Entity type

Publication

Access Statement

License Rights

DOI

Restricted until