This timely and hugely practical work provides a score of examples from contemporary and historical scientific presentations to show clearly what makes an oral presentation effective. It considers presentations made to persuade an audience to adopt some course of action (such as funding a proposal) as well as presentations made to communicate information, and it considers these from four perspectives: speech, structure, visual aids, and delivery. It also discusses computer-based projections and slide shows as well as overhead projections.
One of the biggest prob1ems of Vietnam's property market is it's low level of transparency. An indication of this problem is that people usually are unable to obtain 1and information as they need due to both technical and organisational limitations. To partially resolve this problem, the authors have proposed a technical solution by designing a simple, 1ow-cost system based on open source WebGIS technology for delivering land information to people anywhere and anytime.
This paper discusses research on distinguishing word meanings in the context of information retrieval systems. We conducted experiments with three sources of evidence for making these distinctions: morphology, part-of-speech, and phrases. We have focused on the distinction between h o m o n y m y and polysemy (unrelated vs. related meanings). Our results support the need to distinguish h o m o n y m y and p o l y semy. We found: 1) grouping morphological variants makes a significant improvement in retrieval performance, 2) that more than half of all words in a dictionary that differ...
Public transport is a part of the contemporary urban model. In Vietnam, the bus system is re-established a few years ago. At the same time, some maps have been published for helping the bus passengers. But these maps are still lacked of rich contents and useful functionalities. With the aim to improving the effectiveness of Hanoi public transport system, the authors have applied GIS technology for developing an information system of Hanoi bus. A logical model of the bus network consisting of 2 sub-networks and 5 cost attributes has been designed. This model serves as a basis for developing...
This paper describes an approach to extract the aspectual information of Japanese verb phrases from a monolingual corpus. We classify Verbs into six categories by means of the aspectual features which are defined on the basis of the possibility of co-occurrence with aspectual forms and adverbs. A unique category could be identified for 96% of the target verbs. To evaluate the result of the experiment, we examined the meaning of -leiru which is one of the most fundamental aspectual markers in Japanese, and obtained the correct recognition score of 71% for the 200 sentences. ...
This paper presents the results of a series of experiments which examine the impact of two information status categories (given and new) and frequency of occurrence on pitch accent realisations. More speciﬁcally the experiments explore within-type similarity of pitch accent productions and the effect information status and frequency of occurrence have on these productions. The results indicate a signiﬁcant inﬂuence of both pitch accent type and information status category on the degree of withintype variability, in line with exemplartheoretic expectations. ...
This paper proposes an approach to full parsing suitable for Information Extraction from texts. Sequences of cascades of rules deterministically analyze the text, building unambiguous structures. Initially basic chunks are analyzed; then argumental relations are recognized; finally modifier attachment is performed and the global parse tree is built. The approach was proven to work for three languages and different domains. It was implemented in the IE module of FACILE, a EU project for multilingual text classification and !E. ...
Lexicon definition is one of the main bottlenecks in the development of new applications in the field of Information Extraction from text. Generic resources (e.g., lexical databases) are promising for reducing the cost of specific lexica definition, but they introduce lexical ambiguity. This paper proposes a methodology for building application-specific lexica by using WordNet. Lexical ambiguity is kept under control by marking synsets in WordNet with field labels taken from the Dewey Decimal Classification. tion requirement.
Information Theory is one of the few scientific fields fortunate enough to have an identifiable
beginning - Claude Shannon's 1948 paper. The story of the evolution of how it progressed from
a single theoretical paper to a broad field that has redefined our world is a fascinating one. It
provides the opportunity to study the social, political, and technological interactions that have
helped guide its development and define its trajectory, and gives us insight into how a new field
We often hear Claude Shannon called the father of the Digital Age.
Grid computing architecture was defined to be a complete physical layer. Based on the grid computing architecture, we divided grid nodes into supervisor grid node and execute grid nod. The data transfer in network must be in secure. In this study, we propose the encryption and decryption algorithm in each grid node to keep information processing in security. We create user information database both in supervisor and execute grid nodes. We use them to verify user processing in system.
Molecules and assemblies of molecules with well-defined
secondary structures have been designed and characterized
by controllingnoncovalent interactions. By specifying
intermolecular interactions, a class of information-storing
molecular duplexes have been successfully developed. These
H-bonded molecular duplexes demonstrate programmable,
sequence-specificity and predictable, tunable stabilities.
Based on these highly specific molecular zippers (or glues),
a systematic approach todesigning self-assembled structures
is now feasible. ...
Due to the unavoidable nonbiological variations accompanying many
experiments, it is imperative to consider a way of unravelling the functional
interaction structure of a cellular network (e.g. signalling cascades or gene
networks) by using the qualitative information of time-series experimental
data instead of computation through the measured absolute values.
Model-theoretic semantics provides a computationally attractive means of representing the semantics of natural language. However, the models used in this formalism are static and are usually infinite. Dynamic models are incomplete models that include only the information needed for an application and to which information can be added. Dynamic models are basically approximations of larger conventional models, but differ is several interesting ways. The difference discussed here is the possibility of inconsistent information being included in the model. ...
Adaptive Information Extraction systems (IES) are currently used by some Semantic Web (SW) annotation tools as support to annotation (Handschuh et al., 2002; Vargas-Vera et al., 2002). They are generally based on fully supervised methodologies requiring fairly intense domain-specific annotation. Unfortunately, selecting representative examples may be difficult and annotations can be incorrect and require time. In this paper we present a methodology that drastically reduce (or even remove) the amount of manual annotation required when annotating consistent sets of pages. ...
Topological Dependency Grammar (TDG) is a lexicalized dependency grammar formalism, able to model languages with a relatively free word order. In such languages, word order variation often has an important function: the realization of information structure. The paper discusses how to integrate information structure into TDG, and presents a constraint-based approach to modelling information structure and the various means to realize it, focusing on (possibly simultaneous use of) word order and tune. ...
In this demo we will present GATE, an architecture and framework for language engineering, and ANNIE, an information extraction system developed within it. We will demonstrate how ANNIE has been adapted to perform NE recognition in different languages, including Indic and Slavonic languages as well as Western European ones, and how the resources can be reused for new applications and languages.
This paper describes a study in which a corpus of spoken Danish annotated with focus and topic tags was used to investigate the relation between information structure and pauses. The results show that intra-clausal pauses in the focus domain, tend to precede those words that express the property or semantic type whereby the object in focus is distinguished from other ones in the domain.
Informal and formal (“T/V”) address in dialogue is not distinguished overtly in modern English, e.g. by pronoun choice like in many other languages such as French (“tu”/“vous”). Our study investigates the status of the T/V distinction in English literary texts. Our main ﬁndings are: (a) human raters can label monolingual English utterances as T or V fairly well, given sufﬁcient context; (b), a bilingual corpus can be exploited to induce a supervised classiﬁer for T/V without human annotation.
While information status (IS) plays a crucial role in discourse processing, there have only been a handful of attempts to automatically determine the IS of discourse entities. We examine a related but more challenging task, ﬁne-grained IS determination, which involves classifying a discourse entity as one of 16 IS subtypes. We investigate the use of rich knowledge sources for this task in combination with a rule-based approach and a learning-based approach.
This paper proposes a method to overcome the drawbacks of WordNet when applied to information retrieval by complementing it with Roget's thesaurus and corpus-derived thesauri. Words and relations which are not included in WordNet can be found in the corpus-derived thesauri. Effects of polysemy can be minimized with weighting m e t h o d considering all query terms and all of the thesauri. Experimental results show that our method enhances information retrieval performance significantly.