Keyword search over entity databases (e.g., product, moviedatabases) is an important problem. Current techniques forkeyword search on databases may often return incompleteand imprecise results. On the one hand, they either requirethat relevant entities contain all (or most) of the query key-words, or that relevant entities and the query keywords oc-cur together in severa...

Purpose – The co-word analysis method is commonly used to cluster-related keywords into the same keyword domain. In other words, traditional co-word analysis cannot cluster the same keywords into more than one keyword domain, and disregards the multi-domain property of keywords. The purpose of this paper is to propose an innovative keyword co-citation approach called “Complete Keyword Pair (CKP...

Decentralized and unstructured peer-to-peer (P2P) networks such as Gnutella are attractive for Internet-scale information retrieval and search systems because they require neither any centralized directory nor any centralized management of overlay network topology and data placement. However, due to this decentralized architecture, current P2P keyword search systems lack useful global knowledge...

This paper proposes a new approach for keyword spotting, which is not based on HMMs. The proposed method employs a new discriminative learning procedure, in which the learning phase aims at maximizing the area under the ROC curve, as this quantity is the most common measure to evaluate keyword spotters. The keyword spotter we devise is based on nonlinearly mapping the input acoustic representat...

The  present  study  investigated  the  effects  of  three  methods  of  vocabulary  presentation,  i.e., picture,  song,  and  the  keyword  method  on  Iranian  EFL  learners'  vocabulary  recognition  and production.  The  participants  were  102  Iranian  lower-intermediate  EFL  learners  in  Zaban  Sara English language institute in Kermanshah. To make sure that they had no previous knowl...

In this paper, we explore how keyword ambiguity can affect search advertising performance. Consumers arrive at search engines with diverse interests, which are often unobserved and nontrivial to predict. The search interests of different consumers may vary even when they are searching using the same keyword. In our study, we propose an automatic way of examining keyword ambiguity based on proba...

The paper discusses the relationship between fuzzy sets and formal logics as well as the influences fuzzy set theory had on the development of particular formal logics. Our focus is on the historical side of these developments. URL http://www.sciencedirect.com/science/article/pii/S0165011415003103 [11] Source URL: https://www.iiia.csic.es/en/node/53897 Links [1] https://www.iiia.csic.es/en/staf...

In this paper, we investigate a new discriminative training technique which focuses on optimizing a keyword error rate, rather than the error rate on all words. We hypothesize that improvements in keyword error rate correlate with improvements in understanding error rates. Keyword-based discriminative training is accomplished by modifying a standard minimum classification error (MCE) training a...

SUMMARY In this paper, a novel framework for extracting visual feature-based keyword relationships from an image database is proposed. From the characteristic that a set of relevant keywords tends to have common visual features, the keyword relationships in a target image database are extracted by using the following two steps. First, the relationship between each keyword and its corresponding ...

Cloud computing is a technology that uses the internet and central remote servers to keep up data and applications. As becomes more mature, many organizations and individuals are attracted in storing more accessible data e.g. personal data files, company related information in the cloud. This technology allows for much more efficient computing by centralizing storage, memory, processing and ban...