Relevant bibliographies by topics / Information structure

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Information structure'

Author: Grafiati
Published: 4 June 2021
Last updated: 7 July 2024

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Journal articles on the topic "Information structure"

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Yamasaki, Satoshi, and Kazuhiko Fukui. "2P266 Tertiary structure prediction of RNA-RNA complex structures using secondary structure information(22A. Bioinformatics: Structural genomics,Poster)." Seibutsu Butsuri 53, supplement1-2 (2013): S203. http://dx.doi.org/10.2142/biophys.53.s203_1.

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Meng Ren, Dong, Yunmin Chen, Alex Maynard, and Sergiy Pysarenko. "Valuating the capital structure under incomplete information." Investment Management and Financial Innovations 20, no. 3 (July 18, 2023): 48–67. http://dx.doi.org/10.21511/imfi.20(3).2023.05.

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Can higher uncertainty increase the valuation (market-to-book value) of young firms compared to more established ones? As the current market shows higher levels of uncertainty about companies’ expected cash flows and changes in firm value, the question of the fundamental convex relationship between the two becomes more relevant. This paper aims to study how cash flow uncertainty affects the capital structure/leverage of a firm over time. A simple Bayesian learning framework is employed to assess leverage ratios in the presence of parameter uncertainty about expected cash flow. This study provides an analytical solution for leverage as a function of firm age and explores the implications using numerical results. The model links market leverage with expected cash flow volatility and firm age. Young firms face uncertainty about their expected cash flows and hence their firm value. Managers continuously update their evaluation of leverage ratios when they observe realized cash flow until firms reach maturity. Therefore, the paper provides a novel explanation of why the leverage ratio for many start-ups increases over time: the resolution of uncertainty decreases upside shock expectations as the firm ages. This result is useful both for academics, who can test the formulas derived in this paper for various industries, countries, and conditions, and for practitioners, who can use them to calibrate algorithmic trading models when linking uncertainty and firm valuation.
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Frink, Orrin, and Cornelia Eva Keijsper. "Information Structure." Modern Language Journal 71, no. 4 (1987): 463. http://dx.doi.org/10.2307/328507.

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Paperno, Denis. "Information structure." Mandenkan, no. 51 (June 1, 2014): 101–5. http://dx.doi.org/10.4000/mandenkan.570.

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Meyer, Paul Georg, and Michael Herslund. "Information Structure." Language 74, no. 2 (June 1998): 421. http://dx.doi.org/10.2307/417911.

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Meyer, Paul Georg. "Information structure." Language 74, no. 2 (1998): 421. http://dx.doi.org/10.1353/lan.1998.0223.

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Madolimov, Hasanboy Shuhratovich. "FUNCTION OF INFORMATIONAL PUBLICIISTICS AND IMAGE (INFORMATION)." Journal of Central Asian Social Studies 02, no. 03 (May 31, 2021): 84–90. http://dx.doi.org/10.37547/jcass/volume02issue03-a12.

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It is well known that journalism is a unique way of covering social life and is widely used in the press. Journalism is divided into a number of types to cover all aspects of public life. These include socio-political journalism, economic-industrial journalism, journalism reflecting the cultural and spiritual life (there are a number of subtypes, such as scientific journalism, literary journalism, sports journalism, art journalism). There is also a peculiar way of social life, albeit from a socio-political point of view - comic journalism, which illuminates it in a humorous way. In terms of its structure, journalism is divided into informational, analytical and artistic journalism, which depends on how it covers life.
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Birner, Betty J., and Gregory Ward. "Information Structure and Syntactic Structure." Language and Linguistics Compass 3, no. 4 (June 10, 2009): 1167–87. http://dx.doi.org/10.1111/j.1749-818x.2009.00146.x.

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Karshiyev, Abror Amrullayevich. "The Structure Of Information Competence Of High School Students." American Journal of Social Science and Education Innovations 02, no. 11 (November 23, 2020): 98–106. http://dx.doi.org/10.37547/tajssei/volume02issue11-17.

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The article is devoted to determining the structure of information competence of high school students. The development and application of modern information and communication technologies in all spheres of science, technology, education and industry at the present stage of integration development has influenced changes in the education system. The process of informatization of education is largely determined by the level of competence of students in the field of information and communication technologies. In this regard, teaching students who are able to use their knowledge in production with the use of new information technologies is a top priority for secondary schools. Comparing different approaches to this phenomenon, the authors try to find common elements in different classifications in order to propose a structure of information competence of high school students.
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Suzuki, Yukimoto. "Partial information and its information structure." Library and Information Science 33 (March 31, 1996): 71–81. http://dx.doi.org/10.46895/lis.33.71.

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Dissertations / Theses on the topic "Information structure"

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Götze, Michael, Thomas Weskott, Cornelia Endriss, Ines Fiedler, Stefan Hinterwimmer, Svetlana Petrova, Anne Schwarz, Stavros Skopeteas, and Ruben Stoel. "Information structure." Universität Potsdam, 2007. http://opus.kobv.de/ubp/volltexte/2008/2227/.

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The guidelines for Information Structure include instructions for the annotation of Information Status (or ‘givenness’), Topic, and Focus, building upon a basic syntactic annotation of nominal phrases and sentences. A procedure for the annotation of these features is proposed.
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Tomioka, Satoshi. "Information Structure as information-based partition." Universität Potsdam, 2007. http://opus.kobv.de/ubp/volltexte/2008/1965/.

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While the Information Structure (IS) is most naturally interpreted as 'structure of information', some may argue that it is structure of something else, and others may object to the use of the word 'structure'. This paper focuses on the question of whether the informational component can have structural properties such that it can be called 'structure'. The preliminary conclusion is that, although there are some vague indications of structurehood in it, it is perhaps better understood to be a representation that encodes a finite set of information-based partitions, rather than structure.
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Traat, Maarika. "Information structure in discourse." Thesis, University of Edinburgh, 2006. http://hdl.handle.net/1842/1260.

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The present dissertation proposes integrating Discourse Representation Theory (DRT), information structure (IS) and Combinatory Categorial Grammar (CCG) into a single framework. It achieves this by making two new contributions to computational treatment of information structure. First, it presents an uncomplicated approach to incorporating information structure in DRT. Second, it shows how the new DRT representation can be integrated into a unification-based grammar framework in a straightforward manner. We foresee the main application of the new formalism to be in spoken language systems: the approach presented here has the potential to considerably facilitate spoken language systems benefiting from insights derived from information structure. The DRT representation with information structure which is proposed in this dissertation is simpler than the previous attempts to include information structure in DRT. We believe that the simplicity of the Information-Structure-marked Discourse Representation Structure (IS-DRS) is precisely what makes it attractive and easy to use for practical tasks like determining the intonation in spoken language applications. The IS component in ISDRS covers a range of aspects of information structural semantics. A further advantage of IS-DRS is that in its case a single semantic representation is suitable for both the generation of context-appropriate prosody and automatic reasoning. A semantic representation on its own is useful for describing and analysing a language. However, it is of even greater utility if it is accompanied by a mechanism that allows one to directly infer the semantic representation from a natural language expression. We incorporated the IS-DRS into the Categorial Grammar (CG) framework, developing a unification based realisation of Combinatory Categorial Grammar, which we call Unification-based Combinatory Categorial Grammar (UCCG). UCCG inherits elements from Combinatory Categorial Grammar and Unification Categorial Grammar. The UCCG framework is developed gradually throughout the dissertation. The information structural component is included as the final step. The IS-DRSs for linguistic expressions are built up compositionally from the IS-DRSs of their sub-expressions. Feature unification is the driving force in this process. The formalism is illustrated by numerous examples which are characterised by different levels of syntactic complexity and diverse information structure. We believe that the main assets of both the IS-DRSs as well as the Unification-based Combinatory Categorial Grammar framework are their simplicity, transparency, and inherent suitability for computational implementation. This makes them an appealing choice for use in practical applications like spoken language systems.
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Heusinger, Klaus von. "Intonation and information structure." [S.l. : s.n.], 1999. http://www.bsz-bw.de/cgi-bin/xvms.cgi?SWB10519016.

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Bott, Stefan Markus. "Information Structure and Discourse Modelling." Doctoral thesis, Universitat Pompeu Fabra, 2008. http://hdl.handle.net/10803/7573.

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This dissertation investigates the interrelation between information structure and discourse structure. Information-structurally backgrounded material is here generally treated as being anaphoric in a very strict sense. It is argued that, apart from having more descriptive content, elements from the sentence background are not different from other types of anaphora: they are subject to the same locality restrictions and they must correspond to the same semantic types. The treatment of the sentence background as a monolithic and atomic unit is refuted. Instead it is argued that sentence backgrounds may be built up from smaller units which are linguistically realise as links and tails (in the sense of Vallduví, 1992). It is shown that links and tails play different roles with respect to the structure of discourse: linguistically realised links have to be bound by a discourse topic, while tails have to be bound by other salient referents within the discourse environment.
Este trabajo investiga la interrelación entre la estructura informativa y la estructura del discurso. El material del trasfondo lingüístico (background) de la oración se trata como una serie de elementos anafóricos en sentido estricto. Aunque tengan más contenido descriptivo, comparten las mismas características con otros tipos de anáfora en términos de restricciones de localidad y del tipo semántico. Se rechaza un tratamiento del background de la oración como una unidad atómica. En este trabajo se argumenta que el background se puede construir a partir de elementos más fundamentales, llamados links y tails (siguiendo Vallduví, 1992). Links y tails juegan un papel muy distinto con respecto a la estructura del discurso: los constituyentes realizados como links tienen que estar ligados por un tópico discursivo, mientras que los constituyentes realizados como tails necesitan estar ligados por otros referentes discursivos que estén salientes en el entorno del discurso.
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Krifka, Manfred. "Basic notions of information structure." Universität Potsdam, 2007. http://opus.kobv.de/ubp/volltexte/2008/1960/.

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This article takes stock of the basic notions of Information Structure (IS). It first provides a general characterization of IS — following Chafe (1976) — within a communicative model of Common Ground(CG), which distinguishes between CG content and CG management. IS is concerned with those features of language that concern the local CG. Second, this paper defines and discusses the notions of Focus (as indicating alternatives) and its various uses, Givenness (as indicating that a denotation is already present in the CG), and Topic (as specifying what a statement is about). It also proposes a new notion, Delimitation, which comprises contrastive topics and frame setters, and indicates that the current conversational move does not entirely satisfy the local communicative needs. It also points out that rhetorical structuring partly belongs to IS.
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Mankowitz, Poppy. "Quantifier expressions and information structure." Thesis, University of St Andrews, 2019. http://hdl.handle.net/10023/17137.

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Linguists and philosophers of language have shown increasing interest in the expressions that refer to quantifiers: determiners like 'every' and 'many', in addition to determiner phrases like 'some king' and 'no cat'. This thesis addresses several puzzles where the way we understand quantifier expressions depends on features that go beyond standard truth conditional semantic meaning. One puzzle concerns the fact that it is often natural to understand 'Every king is in the yard' as being true if (say) all of the kings at the party are in the yard, even though the standard truth conditions predict it to be true if and only if every king in the universe is in the yard. Another puzzle emerges from the observation that 'Every American king is in the yard' sounds odd relative to contexts where there are no American kings, even though the standard truth conditions predict it to be trivially true. These puzzles have been widely discussed within linguistics and philosophy of language, and have implications for topics as diverse as the distinction between semantics and pragmatics and the ontological commitments of ordinary individuals. Yet few attempts have been made to incorporate discussions from the linguistics literature into the philosophical literature. This thesis argues that attending to the linguistics literature helps to address these puzzles. In particular, my solutions to these puzzles rely on notions from work on information structure, an often overlooked area of linguistics. I will use these notions to develop a new theory of the pragmatics of ordinary discourse, in the process of resolving the puzzles. In the first two chapters, I provide accessible overviews of key notions from the literature on quantifier expressions and information structure. In the third chapter, I discuss the problem of contextual domain restriction. In the fourth chapter, I consider the problems posed by empty restrictors. In the final chapter, I tackle the issue of category mistakes.
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Hart, George W. "Minimum information estimation of structure." Thesis, Massachusetts Institute of Technology, 1987. http://hdl.handle.net/1721.1/14792.

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Thesis (Ph. D.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 1987.
MICROFICHE COPY AVAILABLE IN ARCHIVES AND ENGINEERING.
Bibliography: leaves 225-230.
by George William Hart.
Ph.D.
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McNeill, Allan. "Semantic structure of personal information." Thesis, Connect to e-thesis, 2002. http://theses.gla.ac.uk/840/.

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Thesis (Ph.D.) - University of Glasgow, 2002.
Ph.D. thesis submitted to the Department of Psychology, University of Glasgow, 2002. Includes bibliographical references. Print version also available.
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Jackson, Scott Russell. "Information, Truth, Structure, and Sound." Diss., The University of Arizona, 2007. http://hdl.handle.net/10150/196157.

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A persistent element of the Principles & Parameters framework is the T-model of grammar. The strong claim of this model is that phonological rules cannot refer to semantic entities, and vice versa. However, apparent interactions between prosody and semantic interpretation provide a prima facie challenge to this model. I propose a theory of Information Structure (IS) and its related interfaces that is sufficient to account for apparent semantic-prosodic interactions while still satisfying the strong requirements of the T-model. This proposal hinges on three inter-connected sub-proposals.First, I defend a representation of IS based on two kinds of primitives, partitions and instructions. The partitions are nested structures derived from sub-trees of LF. The instructions are functions that operate on the partitions to specify their connection with the discourse. Interactions between these primitives account for apparent truth-conditional effects of IS.Second, I propose that IS partitions are generated in the syntax via the mechanism of derivational phase, or cyclic Spell-Out. I claim that phases are determined by interface conditions, and that IS provides some of those interface conditions, such that some phases will be isomorphic with IS partitions. Not only does this theory provide appropriate structures for IS, but it does so without violating the T-model, and it manages to leave previous work on phases intact.Third, my phase-based proposal provides an indirect correlation between phonological stress and IS. Because stress rules apply cyclically at each phase, and because IS dictates some phases, stress and IS will naturally synchronize, without needing to stipulate a connection between emphasis and information. This has the added benefit of deriving so-called "narrow" or "contrastive" focus by the same set of principles as "default" or "informational" focus.Finally, my combined theory accounts for recalcitrant data involving the connection between prosody, information, and Diesing's (1992) Mapping Hypothesis in the interpretation of indefinites, and involving the link between prosody and underlying position in data from Bresnan (1971). The end result is a unified theory of IS and its interfaces, which maintains the T-model architecture and represents a streamlined theoretical and empirical improvement across several domains.
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Books on the topic "Information structure"

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Camacho-Taboada, Victoria, Ángel L. Jiménez-Fernández, Javier Martín-González, and Mariano Reyes-Tejedor, eds. Information Structure and Agreement. Amsterdam: John Benjamins Publishing Company, 2013. http://dx.doi.org/10.1075/la.197.

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Warr, Wendy A., ed. Chemical Structure Information Systems. Washington, DC: American Chemical Society, 1989. http://dx.doi.org/10.1021/bk-1989-0400.

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Telecommunications, United States Forest Service Computer Sciences &. National geographic information structure. Washington, D.C: U.S. Dept. of Agriculture, Forest Service, Computer Sciences & Telecommunications, 1991.

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Information structure and agreement. Amsterdam: John Benjamins Publishing Company, 2013.

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Irina, Nikolaeva, ed. Objects and information structure. Cambridge: Cambridge University Press, 2011.

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Information structure in Chinese. Beijing: Beijing University Press, 1998.

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Choi, Hye-Won. Optimizing structure in context: Scrambling and information structure. Stanford, Calif: CSLI Publications, 1999.

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Fiedler, Ines, and Anne Schwarz, eds. The Expression of Information Structure. Amsterdam: John Benjamins Publishing Company, 2010. http://dx.doi.org/10.1075/tsl.91.

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Portner, Paul, Claudia Maienborn, and Klaus von Heusinger, eds. Semantics - Sentence and Information Structure. Berlin, Boston: De Gruyter, 2019. http://dx.doi.org/10.1515/9783110589863.

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Hinterhölzl, Roland, and Svetlana Petrova, eds. Information Structure and Language Change. Berlin, New York: Mouton de Gruyter, 2009. http://dx.doi.org/10.1515/9783110216110.

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Book chapters on the topic "Information structure"

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Leal, Tania. "Information structure." In The Routledge Handbook of Second Language Acquisition, Morphosyntax, and Semantics, 502–17. New York: Routledge, 2024. http://dx.doi.org/10.4324/9781003412373-42.

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Cygler, Miroslaw, Allan Matte, and Joseph D. Schrag. "Structure Information." In Biotechnology, 345–60. Weinheim, Germany: Wiley-VCH Verlag GmbH, 2008. http://dx.doi.org/10.1002/9783527620876.ch15.

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Gundel, Jeanette K., and Thorstein Fretheim. "Information structure." In Handbook of Pragmatics, 1–17. Amsterdam: John Benjamins Publishing Company, 2003. http://dx.doi.org/10.1075/hop.8.inf1.

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Gundel, Jeanette K., and Thorstein Fretheim. "Information structure." In Grammar, Meaning and Pragmatics, 146–60. Amsterdam: John Benjamins Publishing Company, 2009. http://dx.doi.org/10.1075/hoph.5.09gun.

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Han, Jiawei. "Structure Is Informative: On Mining Structured Information Networks." In Machine Learning and Knowledge Discovery in Databases, 2. Berlin, Heidelberg: Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-15880-3_2.

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Zečević, Aleksandar I., and Dragoslav D. Šiljak. "Information Structure Constraints." In Communications and Control Engineering, 29–64. Boston, MA: Springer US, 2009. http://dx.doi.org/10.1007/978-1-4419-1216-9_2.

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Bender, Emily M., and Alex Lascarides. "Information Status and Information Structure." In Linguistic Fundamentals for Natural Language Processing II, 151–62. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-031-02172-5_12.

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Doswell, Andrew. "Structure." In Foundations of Business Information Systems, 3–5. Boston, MA: Springer US, 1985. http://dx.doi.org/10.1007/978-1-4613-2395-2_1.

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Rus, Daniela, and Devika Subramanian. "Information retrieval, information structure, and information agents." In Intelligent Hypertext, 145–82. Berlin, Heidelberg: Springer Berlin Heidelberg, 1997. http://dx.doi.org/10.1007/bfb0023964.

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Demri, Stéphane P., and Ewa S. Orłowska. "Information Relations Derived from Information Systems." In Incomplete Information: Structure, Inference, Complexity, 37–69. Berlin, Heidelberg: Springer Berlin Heidelberg, 2002. http://dx.doi.org/10.1007/978-3-662-04997-6_3.

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Conference papers on the topic "Information structure"

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Ko, Seung-Kyu, and Yoon-Chul Choy. "A structured documents retrieval method supporting attribute-based structure information." In the 2002 ACM symposium. New York, New York, USA: ACM Press, 2002. http://dx.doi.org/10.1145/508791.508920.

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He, Jiyin. "Topic structure for information retrieval." In the 32nd international ACM SIGIR conference. New York, New York, USA: ACM Press, 2009. http://dx.doi.org/10.1145/1571941.1572171.

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Wong, S. K. M., and Y. Y. Yao. "Linear structure in information retrieval." In the 11th annual international ACM SIGIR conference. New York, New York, USA: ACM Press, 1988. http://dx.doi.org/10.1145/62437.62452.

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MICELLI, VANESSA. "THE EVOLUTION OF INFORMATION STRUCTURE." In Proceedings of the 8th International Conference (EVOLANG8). WORLD SCIENTIFIC, 2010. http://dx.doi.org/10.1142/9789814295222_0093.

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VOLOVICH, IGOR V. "QUANTUM INFORMATION AND SPACETIME STRUCTURE." In Proceedings of the Fifth International Conference. WORLD SCIENTIFIC, 2006. http://dx.doi.org/10.1142/9789812774835_0002.

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Chiarcos, Christian, Ines Fiedler, Mira Grubic, Andreas Haida, Katharina Hartmann, Julia Ritz, Anne Schwarz, Amir Zeldes, and Malte Zimmermann. "Information structure in African languages." In the First Workshop. Morristown, NJ, USA: Association for Computational Linguistics, 2009. http://dx.doi.org/10.3115/1564508.1564512.

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Khimenko, Vitaly I. "Information structure of optical radiation." In Second International Conference on Optical Information Processing, edited by Zhores I. Alferov, Yuri V. Gulyaev, and Dennis R. Pape. SPIE, 1996. http://dx.doi.org/10.1117/12.262555.

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Gong, Z., and M. Aldeen. "Stabilization Under Decentralized Information Structure." In 1991 American Control Conference. IEEE, 1991. http://dx.doi.org/10.23919/acc.1991.4791512.

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Pirker, Hannes, Georg Niklfeld, Johannes Matiasek, and Harald Trost. "From information structure to intonation." In the 17th international conference. Morristown, NJ, USA: Association for Computational Linguistics, 1998. http://dx.doi.org/10.3115/980432.980740.

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Pirker, Hannes, Georg Niklfeld, Johannes Matiasek, and Harald Trost. "From information structure to intonation." In the 36th annual meeting. Morristown, NJ, USA: Association for Computational Linguistics, 1998. http://dx.doi.org/10.3115/980691.980740.

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Reports on the topic "Information structure"

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McCloghrie, K., M. Fine, J. Seligson, K. Chan, S. Hahn, R. Sahita, A. Smith, and F. Reichmeyer. Structure of Policy Provisioning Information (SPPI). RFC Editor, August 2001. http://dx.doi.org/10.17487/rfc3159.

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McCloghrie, K., D. Perkins, and J. Schoenwaelder, eds. Structure of Management Information Version 2 (SMIv2). RFC Editor, April 1999. http://dx.doi.org/10.17487/rfc2578.

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Strauss, F., and J. Schoenwaelder. SMIng - Next Generation Structure of Management Information. RFC Editor, May 2004. http://dx.doi.org/10.17487/rfc3780.

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Malenko, Nadya. Information Flows, Organizational Structure, and Corporate Governance. Cambridge, MA: National Bureau of Economic Research, May 2023. http://dx.doi.org/10.3386/w31209.

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Fang, Hanming, and Zenan Wu. Multidimensional Private Information, Market Structure and Insurance Markets. Cambridge, MA: National Bureau of Economic Research, October 2016. http://dx.doi.org/10.3386/w22773.

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Hubbard, Thomas. Affiliation, Integration, and Information: Ownership Incentives and Industry Structure. Cambridge, MA: National Bureau of Economic Research, May 2001. http://dx.doi.org/10.3386/w8300.

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Mishkin, Frederic. The Information in the Term Structure: Some Further Results. Cambridge, MA: National Bureau of Economic Research, May 1988. http://dx.doi.org/10.3386/w2575.

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Revilla, Arturo, Nora Christianson, Eric Gunderson, Cruz Ochoa, and Rick zum Brunnen. Information Operations Vulnerability/Survivability Assessment (IOVSA): Process Structure (Revision A). Fort Belvoir, VA: Defense Technical Information Center, June 2003. http://dx.doi.org/10.21236/ada415656.

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Kjerne, Daniel. Modeling cadastral spatial relationships using an object-oriented information structure. Portland State University Library, January 2000. http://dx.doi.org/10.15760/etd.5605.

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McCloghrie, K., and M. T. Rose. Structure and identification of management information for TCP/IP-based internets. RFC Editor, August 1988. http://dx.doi.org/10.17487/rfc1065.

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