Obtaining Document Standards for Comparison
نویسندگان
چکیده
منابع مشابه
Obtaining Single Document Summaries Using Latent Dirichlet Allocation
In this paper, we present a novel approach that makes use of topic models based on Latent Dirichlet allocation(LDA) for generating single document summaries. Our approach is distinguished from other LDA based approaches in that we identify the summary topics which best describe a given document and only extract sentences from those paragraphs within the document which are highly correlated give...
متن کاملStandards for Reporting Implementation Studies (StaRI): explanation and elaboration document
OBJECTIVES Implementation studies are often poorly reported and indexed, reducing their potential to inform the provision of healthcare services. The Standards for Reporting Implementation Studies (StaRI) initiative aims to develop guidelines for transparent and accurate reporting of implementation studies. METHODS An international working group developed the StaRI guideline informed by a sys...
متن کاملISO Standards for Interoperability: a comparison
The lack of interoperability between ICT systems is becoming more and more a bottleneck in the collaboration and co-operation of enterprises. Cooperating parties have to exchange business information and have to have the same understanding of the meaning of the exchanged information and to trust both the communication itself and the validity of its contents. The paper reviews two ISO standards ...
متن کاملPositive Standards of Comparison
Research on the semantics of gradable adjectives has, among others, the following two preoccupations: the nature of the degree-comparison relation expressed by the degree morphology (more/-er, less, etc.) and the way in which the standard of comparison is expressed. Here I wish to examine a combination of these two elements that has not, to the best of my knowledge, been described before. In pa...
متن کاملComparison of neural models for document clustering
We compared the application of different algorithms to document clustering. The algorithms studied were Fuzzy C-Means, Fuzzy ART, Fuzzy ART for Fuzzy Clusters, Fuzzy Max-Min, and the Kohonen neural network (only the first is not a neural network). We generated a testbed from LISA, using some of the descriptors corresponding to the different records for the comparison of the results. The best re...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Journal of Criminal Law and Criminology (1931-1951)
سال: 1949
ISSN: 0885-2731
DOI: 10.2307/1138374