44 research outputs found
Task 2: ShARe/CLEF eHealth evaluation lab 2014
This paper reports on Task 2 of the 2014 ShARe/CLEF
eHealth evaluation lab which extended Task 1 of the 2013 ShARe/CLEF eHealth evaluation lab by focusing on template lling of disorder attributes. The task was comprised of two subtasks: attribute normalization (task 2a) and cue identication (task 2b).We instructed participants
to develop a system which either kept or updated a default attribute value for each task. Participant systems were evaluated against a blind reference standard of 133 discharge summaries using Accuracy (task 2a)
and F-score (task 2b). In total, ten teams participated in task 2a, and three teams in task 2b. For task 2a and 2b, the HITACHI team systems (run 2) had the highest performances, with an overall average average accuracy of 0.868 and F1-score (strict) of 0.676, respectively
The influence of pre-processing on the estimation of readability of web documents
This paper investigates the effect that text pre-processing approaches have on the estimation of the readability of web pages. Readability has been highlighted as an important aspect of web search result personalisation in previous work. The most widely used text readability measures rely on surface level characteristics of text, such as the length of words and sentences. We demonstrate that different tools for extracting text from web pages lead to very different estimations of readability. This has an important implication for search engines because search result personalisation strategies that consider users reading ability may fail if incorrect text readability estimations are computed
Overview of the CLEF eHealth Evaluation Lab 2019
In this paper, we provide an overview of the seventh annual
edition of the CLEF eHealth evaluation lab. CLEF eHealth 2019 continues our evaluation resource building efforts around the easing and support of patients, their next-of-kins, clinical staff, and health scientists in
understanding, accessing, and authoring electronic health information in
a multilingual setting. This yearâs lab advertised three tasks: Task 1 on
indexing non-technical summaries of German animal experiments with
International Classification of Diseases, Version 10 codes; Task 2 on technology assisted reviews in empirical medicine building on 2017 and 2018
tasks in English; and Task 3 on consumer health search in mono- and
multilingual settings that builds on the 2013â18 Information Retrieval
tasks. In total nine teams took part in these tasks (six in Task 1 and three in Task 2). Herein, we describe the resources created for these tasks and
evaluation methodology adopted. We also provide a brief summary of
participants of this yearâs challenges and results obtained. As in previous years, the organizers have made data and tools associated with the
lab tasks available for future research and development
Overview of the CLEF eHealth Evaluation Lab 2019
In this paper, we provide an overview of the seventh annual edition of the CLEF eHealth evaluation lab. CLEF eHealth 2019 continues our evaluation resource building efforts around the easing and support of patients, their next-of-kins, clinical staff, and health scientists in understanding, accessing, and authoring electronic health information in a multilingual setting. This yearâs lab advertised three tasks: Task 1 on indexing non-technical summaries of German animal experiments with International Classification of Diseases, Version 10 codes; Task 2 on technology assisted reviews in empirical medicine building on 2017 and 2018 tasks in English; and Task 3 on consumer health search in mono- and multilingual settings that builds on the 2013â18 Information Retrieval tasks. In total nine teams took part in these tasks (six in Task 1 and three in Task 2). Herein, we describe the resources created for these tasks and evaluation methodology adopted. We also provide a brief summary of participants of this yearâs challenges and results obtained. As in previous years, the organizers have made data and tools associated with the lab tasks available for future research and\ua0development
Relationships between microstructure, mechanical and dielectric properties of different alumina materials
International audienceDifferent alumina materials were elaborated in order to vary microstructural parameters (grain size, densification, porosity, inter-granular phase). These ceramic materials were then characterized from the mechanical point of view (hardness, toughness, friction and wear) and dielectric breakdown. The comparison of these various results shows that, for all these properties, the grain size and also, the nature of the secondary phases and the microstructural parameters were the most significant. Moreover, from the tribological point of view, the dielectric characteristic of materials (breakdown strength) has a fundamental role in the creation of agglomerated wear debris (âthird bodyâ) and its properties: a finely agglomerated third body will be obtained for high breakdown strength. Such third body will be able to protect the substrate and thus to reduce later wear. In the same logic a correspondence between breakdown strength and toughness was established, thus confirming the existence of mechanicalâelectrical correlation for non-conductive materials
Overview of the CLEF eHealth Evaluation Lab 2020
International audienc