WHUIRGroup at the CLEF 2016 eHealth Lab Task 3
نویسندگان
چکیده
This paper presents our work on the 2016 CLEF eHealth Task 3.We used Indri to conduct our experiments. We used CHV to expand query and proposed a learning-to-rank algorithm to re-rank the result.
منابع مشابه
Overview of the CLEF eHealth Evaluation Lab 2016
In this paper we provide an overview of the fourth edition of the CLEF eHealth evaluation lab. CLEF eHealth 2016 continues our evaluation resource building efforts around the easing and support of patients, their next-of-kins and clinical staff in understanding, accessing and authoring eHealth information in a multilingual setting. This year’s lab offered three tasks: Task 1 on handover informa...
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 کاملClinical Information Extraction at the CLEF eHealth Evaluation lab 2016
This paper reports on Task 2 of the 2016 CLEF eHealth evaluation lab which extended the previous information extraction tasks of ShARe/CLEF eHealth evaluation labs. The task continued with named entity recognition and normalization in French narratives, as offered in CLEF eHealth 2015. Named entity recognition involved ten types of entities including disorders that were defined according to Sem...
متن کاملShARe/CLEF eHealth Evaluation Lab 2014, Task 3: User-centred Health Information Retrieval
This paper presents the results of task 3 of the ShARe/CLEF eHealth Evaluation Lab 2014. This evaluation lab focuses on improving access to medical information on the web. The task objective was to investigate the effect of using additional information such as a related discharge summary and external resources such as medical ontologies on the effectiveness of information retrieval systems, in ...
متن کاملTask 1 of the CLEF eHealth Evaluation Lab 2016: Handover Information Extraction
Cascaded speech recognition (SR) and information extraction (IE) could support the best practice for clinical handover and release clinicians’ time from writing documents to patient interaction and education. However, high requirements for processing correctness evoke methodological challenges and hence, processing correctness needs to be carefully evaluated as meeting the requirements. This ov...
متن کامل