Results 261 to 270 of about 120,098 (307)

Structuring and Documenting Interactions with Subject-Matter Experts

Performance Improvement Quarterly, 2008
We have developed interviewing techniques for knowledge elicitation based on (1) relevant research and techniques from the social sciences, (2) the nature of expertise, and (3) a desire to avoid reductive bias, one of the pitfalls associated with the acquisition of highly complex knowledge.
John M. Ford, Larry E. Wood
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Adaptive subjective triggers for opinionated document retrieval

Proceedings of the Second ACM International Conference on Web Search and Data Mining, 2009
This paper 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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Subjective, socially materialized information and a document

Automatic Documentation and Mathematical Linguistics, 2013
Subjective and socially materialized information is compared. A document is considered as a material object that promotes a decrease in uncertainty in making a management decision within the framework of a specific communication.
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Measurement of subject scatter in the superintendent of documents classification

Government Publications Review, 1990
Abstract The hypothesis that the amount of dispersion of documents occurring when a collection is reclassified from the Superintendent of Documents Classification (SuDoc) to the Library of Congress Classification (LCC) is insignificant is not supported. This suggests that the SuDoc scheme is inappropriate for topical questions.
John Rabalais, J.Stuart Douglass, Danny P. Wallace, Lee Shiflett, Bert R. Boyce   +4 more
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Subjective Document Classification Using Network Analysis

2010 International Conference on Advances in Social Networks Analysis and Mining, 2010
Network 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, June-Sup Lee, Byoung-Tak Zhang   +2 more
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Opinionated document retrieval using subjective triggers

Journal of the American Society for Information Science and Technology, 2011
This 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
openaire   +2 more sources

Document-Level Event Subject Pair Recognition

2020
In 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, Yin Wu, Jiexin Xu, Jinlong Li, Bing Qin, Zhenyu Hu   +5 more
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Document keyphrases as subject metadata: incorporating document key concepts in search results

Information Retrieval, 2008
Most 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

1970
Abstract : 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, 1996
Abstract 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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