The Infona portal uses cookies, i.e. strings of text saved by a browser on the user's device. The portal can access those files and use them to remember the user's data, such as their chosen settings (screen view, interface language, etc.), or their login data. By using the Infona portal the user accepts automatic saving and using this information for portal operation purposes. More information on the subject can be found in the Privacy Policy and Terms of Service. By closing this window the user confirms that they have read the information on cookie usage, and they accept the privacy policy and the way cookies are used by the portal. You can change the cookie settings in your browser.
Abbreviation Completion is a novel technique to improve the efficiency of code-writing by supporting code completion of multiple keywords based on non-predefined abbreviated input - a different approach from conventional code completion that finds one keyword at a time based on an exact character match. Abbreviated
Ranking of object summaries proposed a keyword search paradigm which produces, as a query result, a ranked list of object summaries (OSs) in top-k and size-l; each OS summaries all data held in the relational database about a particular data subject (DS). This paper further investigates the volatility of the ranking
this issue. Instead of assigning a discrete probability on fixed number of topics, we use a stochastic process to determinethe number of topics from the data itself. To be specific, we extend a gamma-negative binomial process to three levels in orderto capture the author-document-keyword hierarchical structure
This paper proposes a symbol feature-based hidden Markov model (HMM). Each state in the model is expressed by some symbol features, and is described by feature lists that draw from regular expressions and text inference; based on which, we use Viterbi Algorithm to extract the information from scientific researcherspsila homepages. It works well although there is great information redundancy.
express an unified meaning. What's more, university BBS has its own characteristics and forum posts are colloquial, the existing topic model is unsuitable. Based on the results of LDA (Latent Dirichlet Allocation), this paper proposed a topic label extraction method, including three steps, as topic modeling, keywords
Set the date range to filter the displayed results. You can set a starting date, ending date or both. You can enter the dates manually or choose them from the calendar.