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  Browse All Reviews > Information Systems (H) > Information Storage And Retrieval (H.3) > Content Analysis And Indexing (H.3.1) > Abstracting Methods (H.3.1...)  
 
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  1-10 of 14 Reviews about "Abstracting Methods (H.3.1...)": Date Reviewed
  Deep dependency substructure-based learning for multidocument summarization
Yan S., Wan X. ACM Transactions on Information Systems 34(1): 1-24, 2015.  Type: Article

Summarization aims to make the information content of a document efficiently accessible. In extractive summarization, sentences of a document are ranked by their importance and top-scoring sentences are selected according to a given su...

Sep 28 2015
  Evaluation of semantic events for legal case retrieval
Maxwell K., Oberlander J., Lavrenko V.  ESAIR 2009 (Proceedings of the WSDM ’09 Workshop on Exploiting Semantic Annotations in Information Retrieval, Barcelona, Spain, Feb 9, 2009) 39-41, 2009.  Type: Proceedings

This paper considers the possibility of improving the retrieval of information from legal cases by incorporating semantic elements into the search process. Since legal cases often turn on the cause or causer of an illegal action, it wo...

Aug 13 2010
   Learning the distance metric in a personal ontology
Yang H., Callan J.  ONISW 2008 (Proceedings of the 2nd International Workshop on Ontologies and Information Systems for the Semantic Web, Napa Valley, California, Oct 30, 2008) 17-24, 2008.  Type: Proceedings

“An ontology is a formal, explicit specification of a shared conceptualization” [1], reads one of the more widely accepted definitions--but how, in reality, do you obtain one? This paper cleverly combines t...

Feb 5 2009
  Scalable access to scientific data
Menasce D. IEEE Internet Computing 9(3): 94-96, 2005.  Type: Article

The quantity of data stored online quadruples every 18 months. In order to transform this data into information and knowledge, it is essential to develop effective data analysis and extraction capabilities. This clearly written paper p...

Jan 25 2006
   Multidocument summarization: an added value to clustering in interactive retrieval
Maña-López M., De Buenaga M., Gómez-Hidalgo J. ACM Transactions on Information Systems 22(2): 215-241, 2004.  Type: Article, Reviews: (2 of 2)

Simultaneously accessing large numbers of text documents is an activity that is not well supported by current search engine interfaces. Many solutions have been explored that employ some form of clustering, or document summarization, t...

May 25 2004
  Multidocument summarization: an added value to clustering in interactive retrieval
Maña-López M., De Buenaga M., Gómez-Hidalgo J. ACM Transactions on Information Systems 22(2): 215-241, 2004.  Type: Article, Reviews: (1 of 2)

Clustering retrieved documents is a typical post-retrieval processing technique used to present an organized result set, not simply a ranked list, to the user, in order to reduce the cognitive burden of going through a large number of ...

May 6 2004
  Abstracts produced using computer assistance
Craven T. Journal of the American Society for Information Science 51(8): 745-756, 2000.  Type: Article

Human abstracting will be with us for some time, so abstractor’s assistants are welcome. This paper gives a list of useful features, and reports on a study of the use of a prototype called TEXNET, with emphasis on one feature...

Jun 1 2000
  Massive query resolution for rapid selective dissemination of information
Cohen J. Journal of the American Society for Information Science 50(3): 195-206, 1999.  Type: Article

Cohen presents a practical method of query resolution that, whencombined with a keyword scanner, provides quick processing of massiveBoolean queries. The work discussed applies to selective disseminationof information (SDI) systems. SD...

Aug 1 1999
  Abstracting of legal cases: the potential of clustering based on the selection of representative objects
Moens M., Uyttendaele C., Dumortier J. Journal of the American Society for Information Science 50(2): 151-161, 1999.  Type: Article

A system for abstracting court decisions concerning criminal casesis described. These cases have a stereotyped structure, containing inparticular a description of the alleged offenses and theopinion of the court. The first part of the ...

Aug 1 1999
  Automatic concept classification of text from electronic meetings
Chen H., Hsu P., Orwig R., Hoopes L., Nunamaker J. Communications of the ACM 37(10): 56-73, 1994.  Type: Article

The authors attempt to automatically summarize an electronic brainstorming session (EBS) through the selection of term clusters that are representative of the important topics raised in the EBS. An EBS is structured as a collection of ...

Dec 1 1995
 
 
 
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