We present a pseudo relevance feedback technique for information retrieval, which expands keyword queries with semantic annotation found in the freely available Del.icio.us collaborative tagging system. We hypothesise that collaborative tags represent semantic information that may render queries more informative, and hence enhance retrieval performance. Experiments with three different techniqu...

We introduce in this paper a method to anonymize document vector spaces. These vector spaces can be used to analyze confidential documents without disclosing private information. The method is inspired in microaggregation, a popular technique used in statistical disclosure control. URL http://doi.acm.org/10.1145/2480362.2480543 [9] Source URL: https://www.iiia.csic.es/en/node/54488 Links [1] ht...

Two new methods for retrieving mathematical expressions using conventional keyword search and expression images are presented. An expression-level TF-IDF (term frequency-inverse document frequency) approach is used for keyword search, where queries and indexed expressions are represented by keywords taken from LATEX strings. TF-IDF is computed at the level of individual expressions rather than ...

Location-based keyword search has become an important part of our daily life. Such a query asks for records satisfying both a spatial condition and a keyword condition. State-of-the-art techniques extend a spatial tree structure by adding keyword information. In this paper we study location-based instant search, where a system searches based on a partial query a user has typed in. We first deve...

In this paper, we develop a keyword spotting system using vocabulary-independent speech recognition technique, and investigate several non-keyword modeling methods to improve its performance. In order to overcome the weakness of conventional syllable model, we propose the syllable filler based on syllable information of keywords and syllable-like filler model. The former prohibits syllable fill...


 Abstract
 An innovative method of accessing connected data sources on the internet is keyword search. We propose to route keywords only relevant in order reduce substantial processing cost search queries throughout all providers. a novel for computing top-k routing plans by considering their propensity contain responses specific query. use summary links between components referencin...

In order to organize efficiently lots of hours of audio contents such as meetings, radio news, search for spoken keywords is essential. An approach uses filler models to account for non-keyword intervals. Another approach uses a large vocabulary continuous speech recognition system (LVCSR) which retrieves a word string and then search for the keywords in this string. This approach yields high p...

In this paper, we describe our effort in developing new method of false alarm rejection for keyword spotting type of speech recognition system. This false alarm rejection uses prosodic similarities, and works as posterior rescore basis. In keyword spotting, there is always false alarm problem. Here, we propose a technique to reject those false alarms using prosodic features. In Japanese, prosod...

Triangular silver nanoplates, of different orientations, and other nanostructures were successfully synthesized using the Horizontal Vapor Phase Crystal (HVPC) Growth technique for antimicrobial purposes in this study. This finding demonstrates HVPC as an alternative and simple technique to synthesize ordered silver nanomaterials for antimicrobial study. Keyword —alternative method, antimicrobi...

Keyword search is the most popular technique for querying large tree-structured datasets, often of unknown structure, in the web. Recent keyword search approaches return lowest common ancestors (LCAs) of the keyword matches ranked with respect to their relevance to the keyword query. A major challenge of a ranking approach is the efficiency of its To face this challenge most of the known approa...