Redundancy model

Xem 1-20 trên 40 kết quả Redundancy model
  • The best practice for mitigating the risk of site destruction, denial, or unavailability causing disastrous loss of critical services is to deploy redundant systems in a geographically separated location; this practice is called geographic redundancy or georedundancy. Enterprises deploying a geographically redundant system may spend significantly more than when deploying a standalone configuration up front, and will have higher ongoing operating expenses to maintain the geographically separated redundant recovery site and system.

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  • Most statistical machine translation systems rely on composed rules (rules that can be formed out of smaller rules in the grammar). Though this practice improves translation by weakening independence assumptions in the translation model, it nevertheless results in huge, redundant grammars, making both training and decoding inefficient. Here, we take the opposite approach, where we only use minimal rules (those that cannot be formed out of other rules), and instead rely on a rule Markov model of the derivation history to capture dependencies between minimal rules. ...

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  • Hidden Markov models (HMMs) are powerful statistical models that have found successful applications in Information Extraction (IE). In current approaches to applying HMMs to IE, an HMM is used to model text at the document level. This modelling might cause undesired redundancy in extraction in the sense that more than one filler is identified and extracted. We propose to use HMMs to model text at the segment level, in which the extraction process consists of two steps: a segment retrieval step followed by an extraction step. ...

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  • Certain distinctions made in the lexicon of one language may be redundant when translating into another language. We quantify redundancy among source types by the similarity of their distributions over target types. We propose a languageindependent framework for minimising lexical redundancy that can be optimised directly from parallel text. Optimisation of the source lexicon for a given target language is viewed as model selection over a set of cluster-based translation models. Redundant distinctions between types may exhibit monolingual regularities, for example, inflexion patterns. ...

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  • Long-span features, such as syntax, can improve language models for tasks such as speech recognition and machine translation. However, these language models can be difficult to use in practice because of the time required to generate features for rescoring a large hypothesis set. In this work, we propose substructure sharing, which saves duplicate work in processing hypothesis sets with redundant hypothesis structures.

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  • This paper describes an algorithm for generating quantifier scopings. The algorithm is designed to generate only logically non-redundant scopings and to partially order the scopings with a given :default scoping first. Removing logical redundancy is not only interesting per se, but also drastically reduces the processing time. The input and output formats are described through a few access and construction functions. Thus, the algorithm is interesting for a modular linguistic theory, which is flexible with respect to syntactic and semantic framework. ...

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  • Today, multiple terminologies used to describe mitral pathology. Terms such as prolapse, flail, partial flail, redundant, overshooting, stretching, elongation, floppy, billowing, ballooning, Barlow, dysplasia, myxoid, and myxomatous, for example, have different meanings for different specialists. The confusion comes first from the fact that several of these terms are synonyms. For example, flail leaflet, overshooting leaflet and leaflet prolapse are synonyms. Other synonyms are Barlow, billowing, ballooning, myxomatous valve, and mitral valve prolapse.

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  • Data can be corrupted during transmission. For reliable communication, error must be detected and corrected are implemented either at the data link layer or the transport layer of the OSI model.Error detection uses the concept of redundancy, which means adding extra bits for detecting errors at the destination

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  • This work is concerned with the space of alignments searched by word alignment systems. We focus on situations where word re-ordering is limited by syntax. We present two new alignment spaces that limit an ITG according to a given dependency parse. We provide D-ITG grammars to search these spaces completely and without redundancy. We conduct a careful comparison of five alignment spaces, and show that limiting search with an ITG reduces error rate by 10%, while a D-ITG produces a 31% reduction. ...

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  • There are a number of strategies that allow an attacker to break the circle of trust and get into people’s contact lists. A lot of social network users do not realize that their contact lists really is a circle of trust and by adding somebody they do not know—celebrities included—they are opening their data to untrusted parties. Some sites do not have privacy controls in place, or the ones they have do not protect all user data. Even if they do have comprehensive privacy controls, the user is often not obligated to select who can access his/her data and is often...

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  • Robust natural language interpretation requires strong semantic domain models, "fall-soff" recovery heuristics, and very flexible control structures. Although single-strategy parsers have met with a measure of success, a multi.strategy approach is shown to provide a much higher degree of flexibility, redundancy, and ability to bring task-specific domain knowledge (in addition to general linguistic knowledge) to bear on both grammatical and ungrammatical input. A parsing algorithm is presented that integrates several different parsing strategies, with case-frame instantiation dominating. ...

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  • In this paper, we present a novel approach for automatic summarization. Our system, called CBSEAS, integrates a new method to detect redundancy at its very core, and produce more expressive summaries than previous approaches. Moreover, we show that our system is versatile enough to integrate opinion mining techniques, so that it is capable of producing opinion oriented summaries. The very competitive results obtained during the last Text Evaluation Conference (TAC 2008) show that our approach is efficient. ...

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  • In this paper, we examined click patterns produced by users of Yahoo! search engine when prompting definition questions. Regularities across these click patterns are then utilized for constructing a large and heterogeneous training corpus for answer ranking. In a nutshell, answers are extracted from clicked web-snippets originating from any class of web-site, including Knowledge Bases (KBs). On the other hand, nonanswers are acquired from redundant pieces of text across web-snippets.

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  • Default inheritance is a useful tool for encoding linguistic generalisations that have exceptions. In this paper we show how the use of an order independent typed default unification operation can provide non-redundant highly structured and concise representation to specify a network of lexical types, that encodes linguistic information about verbal subcategorisation.

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  • Considering the problems we have in communicating with other h~rmans using natural language, it is not clear that we want to recreate these problems in dealing with the computer. While there is some evidence that natural language is useful in communications among humans, there is also considerable evidence that it is neither perfect nor ideal. Natural language is wordy (redundant) and imprecise. Most b,*m,m groups who have a need to communicate quickly and accurately tend to develop a rather well specified subset of natural language that is highly coded and precise in nature.

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  • In this paper the functional uncertainty machinery in L F G is compared with the treatment of long distance dependencies in TAG. It is shown that the functional uncertainty machinery is redundant in TAG, i.e.,what functional uncertainty accomplishes for L F G follows f~om the T A G formalism itself and some aspects of the linguistic theory instantiated in TAG. It is also shown that the analyses provided by the functional uncertainty machinery can be obtained without requiring power beyond mildly context-sensitive grammars.

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  • Existing algorithms for generating referential descriptions to sets of objects have serious deficits: while incremental approaches may produce ambiguous and redundant expressions, exhaustive searches are computationally expensive. Mediating between these extreme control regimes, we propose a best-first searching algorithm for uniquely identifying sets of objects. We incorporate linguistically motivated preferences and several techniques to cut down the search space. Preliminary results show the effectiveness of the new algorithm. ...

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  • When machine translation (MT) knowledge is automatically constructed from bilingual corpora, redundant rules are acquired due to translation variety. These rules increase ambiguity or cause incorrect MT results. To overcome this problem, we constrain the sentences used for knowledge extraction to "the appropriate bilingual sentences for the MT." In this paper, we propose a method using translation literalness to select appropriate sentences or phrases.

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  • One of the major challenges in TRECstyle question-answering (QA) is to overcome the mismatch in the lexical representations in the query space and document space. This is particularly severe in QA as exact answers, rather than documents, are required in response to questions. Most current approaches overcome the mismatch problem by employing either data redundancy strategy through the use of Web or linguistic resources. This paper investigates the integration of lexical relations and Web knowledge to tackle this problem.

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  • I propose a uniform approach to the elimination of redundancy in CCG lexicons, where grammars incorporate inheritance hierarchies of lexical types, defined over a simple, feature-based category description language. The resulting formalism is partially ‘constraint-based’, in that the category notation is interpreted against an underlying set of tree-like feature structures. I argue that this version of CCG subsumes a number of other proposed category notations devised to allow for the construction of more efficient lexicons.

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