Knowledge base

Xem 1-20 trên 823 kết quả Knowledge base
  • Tham khảo sách 'genetic computer school final project: knowledge base system - book 2 - system guide', công nghệ thông tin, tin học văn phòng phục vụ nhu cầu học tập, nghiên cứu và làm việc hiệu quả

    doc83p anhtu 06-03-2009 138 19   Download

  • Research objectives: On the basis of the systematizing theoretical and practical issues in humanresources for industrialization and modernization associated with the development of the knowledge - based economy, the thesis analyses, assesses the situation of human resources for industry of modernization associated with the development of the knowledge - based economy in the Province of Thua Thien - Hue.

    pdf258p nguyenthiminh32 12-07-2014 25 6   Download

  • Information extraction (IE) holds the promise of generating a large-scale knowledge base from the Web’s natural language text. Knowledge-based weak supervision, using structured data to heuristically label a training corpus, works towards this goal by enabling the automated learning of a potentially unbounded number of relation extractors.

    pdf10p hongdo_1 12-04-2013 39 2   Download

  • Linking entities with knowledge base (entity linking) is a key issue in bridging the textual data with the structural knowledge base. Due to the name variation problem and the name ambiguity problem, the entity linking decisions are critically depending on the heterogenous knowledge of entities. In this paper, we propose a generative probabilistic model, called entitymention model, which can leverage heterogenous entity knowledge (including popularity knowledge, name knowledge and context knowledge) for the entity linking task. ...

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  • In this paper we give an overview of the Knowledge Base Population (KBP) track at the 2010 Text Analysis Conference. The main goal of KBP is to promote research in discovering facts about entities and augmenting a knowledge base (KB) with these facts. This is done through two tasks, Entity Linking – linking names in context to entities in the KB – and Slot Filling – adding information about an entity to the KB.

    pdf11p hongdo_1 12-04-2013 16 2   Download

  • This paper describes a spoken dialog QA system as a substitution for call centers. The system is capable of making dialogs for both fixing speech recognition errors and for clarifying vague questions, based on only large text knowledge base. We introduce two measures to make dialogs for fixing recognition errors. An experimental evaluation shows the advantages of these measures.

    pdf4p bunbo_1 17-04-2013 13 2   Download

  • We have developed an approach to natural language processing in which the natural language processor is viewed as a knowledge-based system whose knowledge is about the meanings of the utterances of its language. The approach is orzented around the phrase rather than the word as the basic unit. We believe that this p a r a d i ~ for language processing not only extends the capabilities of other natural language systems, but handles those tasks that previous systems could perform in e more systematic and extensible manner. ...

    pdf6p bungio_1 03-05-2013 26 2   Download

  • DSS Case Study: A knowledge-based Decision Support System for enterprise mergers and acquisitions includes Introduction, Mergers and acquisition method and process, The architecture of the knowledge-based DSS, Conclusions.

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  • We present UWN, a large multilingual lexical knowledge base that describes the meanings and relationships of words in over 200 languages. This paper explains how link prediction, information integration and taxonomy induction methods have been used to build UWN based on WordNet and extend it with millions of named entities from Wikipedia. We additionally introduce extensions to cover lexical relationships, frame-semantic knowledge, and language data. An online interface provides human access to the data, while a software API enables applications to look up over 16 million words and names.

    pdf6p nghetay_1 07-04-2013 19 1   Download

  • Spoken Language Understanding (SLU) addresses the problem of extracting semantic meaning conveyed in an utterance. The traditional knowledge-based approach to this problem is very expensive -- it requires joint expertise in natural language processing and speech recognition, and best practices in language engineering for every new domain. On the other hand, a statistical learning approach needs a large amount of annotated data for model training, which is seldom available in practical applications outside of large research labs. ...

    pdf8p hongvang_1 16-04-2013 11 1   Download

  • As the first step in an automated text summarization algorithm, this work presents a new method for automatically identifying the central ideas in a text based on a knowledge-based concept counting paradigm. To represent and generalize concepts, we use the hierarchical concept taxonomy WordNet. By setting appropriate cutoff values for such parameters as concept generality and child-to-parent frequency ratio, we control the amount and level of generality of concepts extracted from the text.

    pdf3p bunmoc_1 20-04-2013 16 1   Download

  • Knowledge-Based Report Generation is a technique for automatically generating natural language reports from computer databases. It is so named because it applies knowledge-based expert systems software to the problem of text generation. The first application of the technique, a system for generating natural language stock reports from a daily stock quotes database, is partially implemented.

    pdf6p bungio_1 03-05-2013 13 1   Download

  • A lexical knowledge base is a repository of computational information about concepts intended to be generally useful in many application areas including computational linguistics, artificial intelligence, and information science. It contains information derived from machine-readable dictionaries, the full text of reference books, the results of statistical analyses of text usages, and data manually obtained from human world knowledge.

    pdf2p bungio_1 03-05-2013 12 1   Download

  • AnswerBus News Engine' is a question answering system using the contents of CNN Web site 2 as its knowledge base. Comparing to other question answering systems including its previous versions, it has a totally independent crawling and indexing system and a fully functioning search engine. Because of its dynamic and continuous indexing, it is possible to answer questions on just-happened facts. Again, it reaches high correct answer rate. In this demonstration we will present the living system as well as its new technical features. ...

    pdf4p bunthai_1 06-05-2013 19 1   Download

  • (BQ) Part 1 book "MCQs for cardiology knowledge based assessment" presents the following contents: Arrhythmias, ischaemic heart disease, valvular heart disease and endocarditis, heart failure, adult congenital heart disease and pregnancy.

    pdf103p thangnamvoiva4 01-07-2016 4 1   Download

  • (BQ) Part 2 book "MCQs for cardiology knowledge based assessment" presents the following contents: Aorta and hypertension, CT, CMR, and nuclear imaging, assessment for surgery, pulmonary hypertension and pericardium, genetics, lipids, and tumours, cardiac rehabilitation.

    pdf106p thangnamvoiva4 01-07-2016 2 1   Download

  • This demo abstract describes the SmartWeb Ontology-based Annotation system (SOBA). A key feature of SOBA is that all information is extracted and stored with respect to the SmartWeb Integrated Ontology (SWIntO). In this way, other components of the systems, which use the same ontology, can access this information in a straightforward way. We will show how information extracted by SOBA is visualized within its original context, thus enhancing the browsing experience of the end user.

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  • Name ambiguity problem has raised urgent demands for efficient, high-quality named entity disambiguation methods. In recent years, the increasing availability of large-scale, rich semantic knowledge sources (such as Wikipedia and WordNet) creates new opportunities to enhance the named entity disambiguation by developing algorithms which can exploit these knowledge sources at best. The problem is that these knowledge sources are heterogeneous and most of the semantic knowledge within them is embedded in complex structures, such as graphs and networks. ...

    pdf10p hongdo_1 12-04-2013 15 2   Download

  • We propose a method to generate large-scale encyclopedic knowledge, which is valuable for much NLP research, based on the Web. We first search the Web for pages containing a term in question. Then we use linguistic patterns and HTML structures to extract text fragments describing the term. Finally, we organize extracted term descriptions based on word senses and domains. In addition, we apply an automatically generated encyclopedia to a question answering system targeting the Japanese InformationTechnology Engineers Examination. ...

    pdf8p bunrieu_1 18-04-2013 16 2   Download

  • A sophisticated natural language system requires a large knowledge base. A methodology is described for constructing one in a principled way. Facts are selected for the knowledge base by determining what facts are linguistically presupposed by a text in the domain of interest. The facts are sorted into clnsters, and within each cluster they are organized according to their logical dependencies. Finally, the facts are encoded as predicate calculus axioms.

    pdf4p bungio_1 03-05-2013 15 1   Download

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