Results 291 to 300 of about 7,822,595 (348)
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The scatter of documents over databases in different subject domains: How many databases are needed?
J. Assoc. Inf. Sci. Technol., 2001The distribution of bibliographic records in on-line bibliographic databases is examined using 14 different search topics. These topics were searched using the DIALOG database host, and using as many suitable databases as possible.
William W. Hood, Concepción S. Wilson
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Subjective Document Classification Using Network Analysis
2010 International Conference on Advances in Social Networks Analysis and Mining, 2010Network analysis methods have been applied in many areas such as computer science, social science, biology and physics. In this paper, we apply network analysis methods to the linguistic domain for classifying subjective documents. Particularly, we view that subjective documents are related to one another according to some common subjective words and ...
Minkyoung Kim +2 more
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Opinionated document retrieval using subjective triggers
Journal of the American Society for Information Science and Technology, 2011This article proposes a novel application of a statistical language model to opinionated document retrieval targeting weblogs (blogs). In particular, we explore the use of the trigger model—originally developed for incorporating distant word dependencies—in order to model the characteristics of personal opinions that cannot be properly modeled by ...
Kuniaki Uehara, Kazuhiro Seki
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The AIS Project: Boosting Information Extraction from Legal Documents by using Ontologies
International Conference on Agents and Artificial Intelligence, 2016In the legal field, it is a fact that a large number of documents are processed every day by management companies with the purpose of extracting data that they consider most relevant in order to be stored in their own databases.
M. G. Buey +3 more
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, 1992
We are currently eveloping a system whose goal is to emulate a human classifier who peruses a large set of documents and sons them into richly defined classes based solely on the subject content of the documents.
E. Liddy, Woojin Paik, Joseph Woelfel
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We are currently eveloping a system whose goal is to emulate a human classifier who peruses a large set of documents and sons them into richly defined classes based solely on the subject content of the documents.
E. Liddy, Woojin Paik, Joseph Woelfel
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Document-Level Event Subject Pair Recognition
2020In recent years, financial events in the stock market have increased dramatically. Extracting valuable information automatically from massive financial documents can provide effective support for the analysis of financial events. This paper just proposes an end-to-end document-level subject pair recognition method. It aims to recognize the subject pair,
Ming Liu +5 more
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AuthPaper: Protecting paper-based documents and credentials using Authenticated 2D barcodes
2015 IEEE International Conference on Communications (ICC), 2015All printed documents/credentials are potentially subject to counterfeiting and forgery. Conventional counterfeiting solutions such as watermarking or printing using special-quality paper are not cost-effective.
Chak Man Li, Pili Hu, W. Lau
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Document keyphrases as subject metadata: incorporating document key concepts in search results
Information Retrieval, 2008Most search engines display some document metadata, such as title, snippet and URL, in conjunction with the returned hits to aid users in determining documents. However, metadata is usually fragmented pieces of information that, even when combined, does not provide an overview of a returned document.
Quanzhi Li, Yi-Fang Brook Wu
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SUBJECT DOCUMENT RETRIEVAL SYSTEMS
1970Abstract : The work concerned subject document retrieval systems (systems that retrieve documents in response to subject requests). It can be roughly classified into six categories: storage organization, automatic indexing, retrieval evaluation, retrieval relevance of documents, retrieval of 'answer- providing' documents, and a miscellaneous few ...
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Human subjectivity and performance limits in document retrieval
Information Processing & Management, 1996Abstract Test sets for the document-retrieval task composed of human relevance judgments have been constructed that allow one to compare human performance directly with that of automatic methods and that place absolute limits on performance by any method.
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