An Interactive Two-Dimensional Approach to Query Aspects Rewriting in Systematic Reviews. IMS Unipd At CLEF eHealth Task 2
نویسندگان
چکیده
In this paper, we describe the participation of the Information Management Systems (IMS) group at CLEF eHealth 2017 Task 2. This task focuses on the problem of systematic reviews, that is articles that summarise all evidence that is published regarding a certain medical topic. This task, known in Information Retrieval as the total recall problem, requires long and tedious search sessions by experts in the field of medicine. Automatic (or semi-automatic) approaches are essential to support these type of searches when the amount of data exceed the limits of users, i.e. in terms of attention or patience. We present the two-dimensional probabilistic version of BM25 with explicit relevance feedback together with a query aspect rewriting approach for both the simple evaluation and the cost-effective evaluation.
منابع مشابه
A Lexicon Based Approach to Classification of ICD10 Codes. IMS Unipd at CLEF eHealth Task 1
In this paper, we describe the participation of the Information Management Systems (IMS) group at CLEF eHealth 2017 Task 1. In this task, participants are required to extract causes of death from death reports (in French and in English) and label them with the correct International Classification Diseases (ICD10) code. We tackled this task by focusing on the replicability and reproducibility of...
متن کاملRanking Abstracts to Identify Relevant Evidence for Systematic Reviews: The University of Sheffield's Approach to CLEF eHealth 2017 Task 2
This paper describes Sheffield University’s submission to CLEF 2017 eHealth Task 2: Technologically Assisted Reviews in Empirical Medicine. This task focusses on the identification of relevant evidence for systematic reviews in the medical domain. Participants are provided with systematic review topics (including title, Boolean query and set of PubMed abstracts returned) and asked to identify t...
متن کاملIIIT-H at CLEF eHealth 2017 Task 2: Technologically Assisted Reviews in Empirical Medicine
Observational evidence in clinical practice is critical in healthcare and policy making. Researchers spend a lot of time searching for relevant published articles to write a systematic review of a topic. In this paper, we present our participation as the team of IIIT Hyderabad at Task2 Technologically Assisted Reviews in Empirical Medicine as an effort to automate this task and deliver relevant...
متن کاملExploring Understandability Features to Personalize Consumer Health Search. TUW at CLEF 2017 eHealth
This paper describes the participation of Technical University of Vienna (TUW) at CLEF eHealth 2017 Task 3 [5,9]. This track runs annually since 2013 (see [3,4,7,12]) and this year’s challenge is a continuation of 2016’s one. The Information Retrieval task of CLEF eHealth Lab aims to foster research on search for health consumers, emphasizing crucial aspects of this domain such as document unde...
متن کاملMayoNLPTeam at the 2016 CLEF eHealth Information Retrieval Task 1
This paper presents the participation of MayoNLPTeam in the 2016 CLEF eHealth Information Retrieval Task (IR Task 1: ad-hoc search). We explored a Part-of-Speech (POS) based query term weighting approach which assigns different weights to the query terms according to their POS categories. The weights are learned by defining an objective function based on the mean average precision. We applied t...
متن کامل