Identifying important concepts from medical documents

نویسندگان
چکیده

برای دانلود باید عضویت طلایی داشته باشید

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

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Identifying important concepts from medical documents

Automated medical concept recognition is important for medical informatics such as medical document retrieval and text mining research. In this paper, we present a software tool called keyphrase identification program (KIP) for identifying topical concepts from medical documents. KIP combines two functions: noun phrase extraction and keyphrase identification. The former automatically extracts n...

متن کامل

Who's Who? Identifying Concepts and Entities across Multiple Documents

A number of research and software development groups have developed technology for identifying terms and names in documents and associating them with concepts and named entities, but few have addressed coreference of concepts and entities across multiple documents in a collection. Cross-document coreference is challenging, since a collection of documents consists of multiple discourse contexts,...

متن کامل

LINA: Identifying Comparable Documents from Wikipedia

This paper describes the LINA system for the BUCC 2015 shared track. Following (Enright and Kondrak, 2007), our system identify comparable documents by collecting counts of hapax words. We extend this method by filtering out document pairs sharing target documents using pigeonhole reasoning and cross-lingual information.

متن کامل

Identifying Content Blocks from Web Documents

Intelligent information processing systems, such as digital libraries or search engines index web-pages according to their informative content. However, web-pages contain several non-informative contents, e.g., navigation sidebars, advertisements, copyright notices, etc. It is very important to separate the informative “primary content blocks” from these non-informative blocks. In this paper, t...

متن کامل

Identifying Relations between Medical Concepts by Parsing UMLS® Definitions

To automatically analyse medical narratives, one needs linguistic and conceptual resources which support capturing of important information from texts and its representation in a structured way. Thus the conceptual structures encoding domain concepts and relations are crucial for the development of reliable and high-performance information extraction system. We present research work enabling au...

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

ژورنال

عنوان ژورنال: Journal of Biomedical Informatics

سال: 2006

ISSN: 1532-0464

DOI: 10.1016/j.jbi.2006.02.001