Results of the BioASQ Tasks of the Question Answering Lab at CLEF 2015

نویسندگان

  • Georgios Balikas
  • Aris Kosmopoulos
  • Anastasia Krithara
  • Georgios Paliouras
  • Ioannis A. Kakadiaris
چکیده

The goal of the BioASQ challenge is to push research towards highly precise biomedical information access systems. We aim to promote systems and approaches that are able to deal with the whole diversity of the Web, especially for, but not restricted to, the context of biomedicine. The third challenge consisted of two tasks: semantic indexing and question answering. 59 systems by 18 different teams participated in the semantic indexing task (Task 3a). The question answering task was further subdivided into two phases. 24 systems from 9 different teams participates in the annotation phase (Task 3b-phase A), while 26 systems of 10 different teams participated in the answer generation phase (Task 3b-phase B). Overall, the best systems were able to outperform the strong baselines provided by the organizers. In this paper, we present the data used during the challenge as well as the technologies which were used by the participants.

برای دانلود رایگان متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

SNUMedinfo at CLEF BioASQ 2015

This paper describes our participation at the BioASQ Task 3b of CLEF 2015 Question Answering track. We participated at the document retrieval subtask in Phase A and the ideal answer generation subtask in Phase B. As of previous year, in the document retrieval task, we mostly experimented with semantic concept-enriched dependence model and sequential dependence model. In the ideal answer generat...

متن کامل

Biomedical Question Answering using the YodaQA System: Prototype Notes

We briefly outline the YodaQA open domain question answering system and its initial adaptation to the Biomedical domain for the purposes of the BIOASQ challenge (question answering task 3b) on CLEF2015.

متن کامل

Results of the BioASQ Track of the Question Answering Lab at CLEF 2014

The goal of this task is to push the research frontier towards hybrid information systems. We aim to promote systems and approaches that are able to deal with the whole diversity of the Web, especially for, but not restricted to, the context of bio-medicine. This goal is pursued by the organization of challenges. The second challenge consisted of two tasks: semantic indexing and question answer...

متن کامل

Learning to Answer Biomedical Factoid & List Questions: OAQA at BioASQ 3B

This paper describes the CMU OAQA system evaluated in the BioASQ 3B Question Answering track. We first present a three-layered architecture, and then describe the components integrated for exact answer generation and retrieval. Using over 400 factoid and list questions from past BioASQ 1B and 2B tasks as background knowledge, we focus on how to learn to answer questions using a gold standard da...

متن کامل

Classification and Retrieval of Biomedical Literatures: SNUMedinfo at CLEF QA track BioASQ 2014

This paper describes the participation of the SNUMedinfo team at the BioASQ Task 2a and Task 2b of CLEF 2014 Question Answering track. Task 2a was about biomedical semantic indexing. We trained SVM classifiers to automatically assign relevant MeSH descriptors to the MEDLINE article. Regarding Task 2b biomedical question answering, we participated at the document retrieval subtask in Phase A and...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

عنوان ژورنال:

دوره   شماره 

صفحات  -

تاریخ انتشار 2015