Challenges for chemical information extraction and text retrieval
نویسندگان
چکیده
منابع مشابه
Text Information Extraction and Retrieval
Every day people spend much time on creating, processing, and accessing information. In fact, most of the information exists in the form of "text", contained in books, emails, web pages, news paper articles, blogs, and reports. How to help people quickly find information from text data and how to help people discover new knowledge from text data has become an enormously important issue. Many re...
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The issues for Natural Language Processing and Information Retrieval have been studied for long time but the recent availability of very large resources (Web pages, digital documents...) and the development of statistical machine learning methods exploiting annotated texts (manual encoding by crowdsourcing is a new major way) have transformed these fields. This allows not limiting these approac...
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Nowadays, most knowledge is stored in an unstructured textual format. We can’t query it in simple ways, thus automatic systems can’t use the contained knowledge and humans can’t easily manage it. The traditional knowledge management process for knowledge engineers has been to manually identify and extract knowledge—a complex and time-consuming process that requires a great deal of manual input....
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Automatic identification of semantic relations in text is a difficult problem, but is important for many applications. It has been used for relation matching in information retrieval to retrieve documents that contain not only the concepts but also the relations between concepts specified in the user’s query. It is an integral part of information extraction—extracting from natural language text...
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ژورنال
عنوان ژورنال: TrAC Trends in Analytical Chemistry
سال: 1997
ISSN: 0165-9936
DOI: 10.1016/s0165-9936(96)00072-6