Results for 'Computational linguistics'

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  1. A Computational Linguistics Perspective on the Anticipatory Drive.G. Neumann - 2008 - Constructivist Foundations 4 (1):26-28.
    Open peer commentary on the target article “How and Why the Brain Lays the Foundations for a Conscious Self” by Martin V. Butz. Excerpt: In this commentary to Martin V. Butz’s target article I am especially concerned with his remarks about language (§33, §§71–79, §91) and modularity (§32, §41, §48, §81, §§94–98). In that context, I would like to bring into discussion my own work on computational models of self-monitoring (cf. Neumann 1998, 2004). In this work I explore the (...)
     
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  2. Logical Aspects of Computational Linguistics Second International Conference, Lacl '97, Nancy, France, September 1997 : Selected Papers'. [REVIEW]Alain Lecomte, Francois Lamarche & Guy Perrier - 1999 - Springer Verlag.
    This book constitutes the thoroughly refereed post-proceedings of the Second International Conference on Logical Aspects of Computational Linguistics, LACL '97, held in Nancy, France in September 1997. The 10 revised full papers presented were carefully selected during two rounds of reviewing. Also included are two comprehensive invited papers. Among the topics covered are type theory, various types of grammars, linear logic, parsing, type-directed natural language processing, proof-theoretic aspects, concatenation logics, and mathematical languages.
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  3. Computational Linguistic Aspects of Grammatical Inference, 30-31 March.M. Van Zaanen & C. De la Higuera - 2009 - The Reasoner 3 (5):10-10.
  4. Computational Linguistics Meets Philosophy: A Latent Semantic Analy-Sis of Giordano Bruno's Texts.Simonetta Bassi, Felice Dell'orletta, Daniele Esposito & Alessandro Lenci - 2006 - Rinascimento 46:631-647.
  5. Computational Linguistics Research-Corpus-Based Knowledge Acquisition-Web-Based Measurements of Intra-Collocational Cohesion in Oxford Collocations Dictionary.Igor A. Bolshakov & Sofia N. Galicia-Haro - 2006 - In O. Stock & M. Schaerf (eds.), Lecture Notes in Computer Science. Springer Verlag. pp. 3878--93.
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  6.  3
    Computer Linguistics and Philosophical Interpretation.John Tomarchio - 1998 - The Paideia Archive: Twentieth World Congress of Philosophy 17:79-90.
    This paper reports a procedure which I employed with two computational research instruments, the Index Thomisticus and its companion St. Thomas CD-ROM, in order to research the Thomistic axiom, ‘whatever is received is received according to the mode of the receiver.’ My procedure extends to the lexicological methods developed by the pioneering creator of the Index, Roberto Busa, from single terms to a proposition. More importantly, the paper shows how the emerging results of the lexicological searches guided my formation (...)
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  7.  14
    Hebrew Computational Linguistics: A Bulletin for Formal, Computational, Applied Linguistics, and Modern Hebrew.Alan S. Kaye & Ora Scharzwald - 1982 - Journal of the American Oriental Society 102 (1):195.
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  8. Logical Aspects of Computational Linguistics Third International Conference, Lalc '98, Grenoble, France, December 14-16, 1998 : Selected Papers'. [REVIEW]Michael Moortgat - 2001 - Springer Verlag.
    This book constitutes the thoroughly refereed post-proceedings of the Third International Conference on Logical Aspects of Computational Linguistics, LACL'98, held in Grenoble, France, in December 1998. The 15 revised full papers presented together with one invited paper were carefully reviewed and selected during two rounds of refereeing from 33 submissions and 19 conference presentations. Among the topics covered are various types of grammars, categorical inference, automated reasoning, constraint handling, logical forms, dialogue semantics, unification, and proofs.
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  9. Roland HAUSSER: Foundations of Computational Linguistics: Human-Computer Communication in Natural Language.Paul Gochet & Michel Kefer - forthcoming - Revue Internationale de Philosophie.
     
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  10.  19
    Logical Aspects of Computational Linguistics (LACL'01).Philippe de Groote, Glyn Morrill & Christian Retoré - 2001 - In P. Bouquet (ed.), Lecture Notes in Artificial Intelligence. Kluwer Academic Publishers.
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  11.  30
    Archaeology Through Computational Linguistics: Inscription Statistics Predict Excavation Sites of Indus Valley Artifacts.Gabriel L. Recchia & Max M. Louwerse - 2016 - Cognitive Science 40 (8):2065-2080.
    Computational techniques comparing co-occurrences of city names in texts allow the relative longitudes and latitudes of cities to be estimated algorithmically. However, these techniques have not been applied to estimate the provenance of artifacts with unknown origins. Here, we estimate the geographic origin of artifacts from the Indus Valley Civilization, applying methods commonly used in cognitive science to the Indus script. We show that these methods can accurately predict the relative locations of archeological sites on the basis of artifacts (...)
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  12.  71
    Group Theory and Computational Linguistics.Dymetman Marc - 1998 - Journal of Logic, Language and Information 7 (4):461-497.
    There is currently much interest in bringing together the tradition of categorial grammar, and especially the Lambek calculus, with the recent paradigm of linear logic to which it has strong ties. One active research area is designing non-commutative versions of linear logic (Abrusci, 1995; Retoré, 1993) which can be sensitive to word order while retaining the hypothetical reasoning capabilities of standard (commutative) linear logic (Dalrymple et al., 1995). Some connections between the Lambek calculus and computations in groups have long been (...)
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  13.  43
    Current Approaches to Punctuation in Computational Linguistics.Bilge Say & Varol Akman - 1997 - Computers and the Humanities 30:457-469.
    Some recent studies in computational linguistics have aimed to take advantage of various cues presented by punctuation marks. This short survey is intended to summarise these research efforts and additionally, to outline a current perspective for the usage and functions of punctuation marks. We conclude by presenting an information-based framework for punctuation, influenced by treatments of several related phenomena in computational linguistics.
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  14.  6
    Review of "Collected Papers of Martin Kay: A Half-Century of Computational Linguistics". [REVIEW]Seán Ó Nualláin - 2015 - Cosmos and History 11 (1):373-377.
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  15.  82
    Proceedings of the 26th Annual Meeting of the Association for Computational Linguistics (SUNY Buffalo).Janyce M. Wiebe & William J. Rapaport (eds.) - 1988 - Assoc for computational linguistics.
    Narrative passages told from a character's perspective convey the character's thoughts and perceptions. We present a discourse process that recognizes characters' thoughts and perceptions in third-person narrative. An effect of perspective on reference In narrative is addressed: references in passages told from the perspective of a character reflect the character's beliefs. An algorithm that uses the results of our discourse process to understand references with respect to an appropriate set of beliefs is presented.
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  16. Old Men and Women in Glasses: A Headache for Computational Linguists.Xiuming Huang - forthcoming - Contrastes: Revista Internacional de Filosofía.
  17. Proceedings of Coling: The 20th International Conference on Computational Linguistics.Smith Barry & Christiane Fellbaum - 2004
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  18. Speech and Language Processing: An Introduction to Natural Language Processing, Computational Linguistics, and Speech Recognition.Daniel Jurafsky & James H. Martin - 2000 - Prentice-Hall.
    The first of its kind to thoroughly cover language technology at all levels and with all modern technologies this book takes an empirical approach to the ...
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  19.  90
    On the Importance of a Rich Embodiment in the Grounding of Concepts: Perspectives From Embodied Cognitive Science and Computational Linguistics.Serge Thill, Sebastian Padó & Tom Ziemke - 2014 - Topics in Cognitive Science 6 (3):545-558.
    The recent trend in cognitive robotics experiments on language learning, symbol grounding, and related issues necessarily entails a reduction of sensorimotor aspects from those provided by a human body to those that can be realized in machines, limiting robotic models of symbol grounding in this respect. Here, we argue that there is a need for modeling work in this domain to explicitly take into account the richer human embodiment even for concrete concepts that prima facie relate merely to simple actions, (...)
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  20.  14
    The Global Language of Human Rights: A Computational Linguistic Analysis.David S. Law - 2018 - The Law and Ethics of Human Rights 12 (1):111-150.
    Human rights discourse has been likened to a global lingua franca, and in more ways than one, the analogy seems apt. Human rights discourse is a language that is used by all yet belongs uniquely to no particular place. It crosses not only the borders between nation-states, but also the divide between national law and international law: it appears in national constitutions and international treaties alike. But is it possible to conceive of human rights as a global language or lingua (...)
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  21.  18
    Alexander Koller, Ralph Debusmann, Malte Gabsdil, and Kristina Striegnitz/Put My Galakmid Coin Into the Dispenser and Kick It: Computational Linguistics and Theorem Proving in a Computer Game 187–206.Gerhard Jager & Structural Rules Residuation - 2004 - Journal of Logic, Language and Information 13 (1):537-539.
    The article presents proofs of the context freeness of a family of typelogical grammars, namely all grammars that are based on a uni- ormultimodal logic of pure residuation, possibly enriched with thestructural rules of Permutation and Expansion for binary modes.
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  22.  59
    Put My Galakmid Coin Into the Dispenser and Kick It: Computational Linguistics and Theorem Proving in a Computer Game. [REVIEW]Alexander Koller, Ralph Debusmann, Malte Gabsdil & Kristina Striegnitz - 2004 - Journal of Logic, Language and Information 13 (2):187-206.
    We combine state-of-the-art techniques from computational linguisticsand theorem proving to build an engine for playing text adventures,computer games with which the player interacts purely through naturallanguage. The system employs a parser for dependency grammar and ageneration system based on TAG, and has components for resolving andgenerating referring expressions. Most of these modules make heavy useof inferences offered by a modern theorem prover for descriptionlogic. Our game engine solves some problems inherent in classical textadventures, and is an interesting test case (...)
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  23.  28
    Linguistic Knowledge and Unconscious Computations.Luigi Rizzi - 2016 - Rivista Internazionale di Filosofia e Psicologia 7 (3):338-349.
    : The open-ended character of natural languages calls for the hypothesis that humans are endowed with a recursive procedure generating sentences which are hierarchically organized. Structural relations such as c-command, expressed on hierarchical sentential representations, determine all sorts of formal and interpretive properties of sentences. The relevant computational principles are well beyond the reach of conscious introspection, so that studying such properties requires the formulation of precise formal hypotheses, and empirically testing them. This article illustrates all these aspects of (...)
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  24.  54
    A Computational Approach to Linguistic Knowledge.Ian Gold & Sandy C. Boucher - 2002 - Language and Communication 1 (22):211-229.
    The rejection of behaviorism in the 1950s and 1960s led to the view, due mainly to Noam Chomsky, that language must be studied by looking at the mind and not just at behavior. It is an understatement to say that Chomskyan linguistics dominates the field. Despite being the overwhelming majority view, it has not gone unchallenged, and the challenges have focused on different aspects of the theory. What is almost universally accepted, however, is Chomsky’s view that understanding language demands (...)
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  25.  35
    A Computational Model of Linguistic Humor in Puns.Justine T. Kao, Roger Levy & Noah D. Goodman - 2016 - Cognitive Science 40 (5):1270-1285.
    Humor plays an essential role in human interactions. Precisely what makes something funny, however, remains elusive. While research on natural language understanding has made significant advancements in recent years, there has been little direct integration of humor research with computational models of language understanding. In this paper, we propose two information-theoretic measures—ambiguity and distinctiveness—derived from a simple model of sentence processing. We test these measures on a set of puns and regular sentences and show that they correlate significantly with (...)
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  26. Computational Semantics—Linguistics and Processing.John Nerbonne - 1996 - In Shalom Lappin (ed.), The Handbook of Contemporary Semantic Theory. Blackwell Reference. pp. 459--82.
     
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  27.  17
    The Computational Model of Linguistic Theory.Frank Nuessel - 1998 - Semiotics:128-139.
  28.  16
    Linguistics Must Be Computational Too.D. Terence Langendoen - 1979 - Behavioral and Brain Sciences 2 (3):470-471.
  29. How Can Computer-Based Methods Help Researchers to Investigate News Values in Large Datasets? A Corpus Linguistic Study of the Construction of Newsworthiness in the Reporting on Hurricane Katrina.Helen Caple, Monika Bednarek & Amanda Potts - 2015 - Discourse and Communication 9 (2):149-172.
    This article uses a 36-million word corpus of news reporting on Hurricane Katrina in the United States to explore how computer-based methods can help researchers to investigate the construction of newsworthiness. It makes use of Bednarek and Caple’s discursive approach to the analysis of news values, and is both exploratory and evaluative in nature. One aim is to test and evaluate the integration of corpus techniques in applying discursive news values analysis. We employ and evaluate corpus techniques that have not (...)
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  30.  57
    How WM Load Influences Linguistic Processing in Adults: A Computational Model of Pronoun Interpretation in Discourse.Jacolien Rij, Hedderik Rijn & Petra Hendriks - 2013 - Topics in Cognitive Science 5 (3):564-580.
    This paper presents a study of the effect of working memory load on the interpretation of pronouns in different discourse contexts: stories with and without a topic shift. We discuss a computational model (in ACT-R, Anderson, 2007) to explain how referring expressions are acquired and used. On the basis of simulations of this model, it is predicted that WM constraints only affect adults' pronoun resolution in stories with a topic shift, but not in stories without a topic shift. This (...)
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  31.  10
    How WM Load Influences Linguistic Processing in Adults: A Computational Model of Pronoun Interpretation in Discourse.Jacolien van Rij, Hedderik van Rijn & Petra Hendriks - 2013 - Topics in Cognitive Science 5 (3):564-580.
    This paper presents a study of the effect of working memory load on the interpretation of pronouns in different discourse contexts: stories with and without a topic shift. We discuss a computational model (in ACT‐R, Anderson, 2007) to explain how referring expressions are acquired and used. On the basis of simulations of this model, it is predicted that WM constraints only affect adults' pronoun resolution in stories with a topic shift, but not in stories without a topic shift. This (...)
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  32.  1
    Linguistic Issues in Language Technology Vol 9: Perspectives on Semantic Representations for Textual Inference (Volume 9).Cleo Condoravdi, Valeria Correa Vaz De Paiva & Annie Else Zaenen - 2013 - Stanford, CA, USA: MIT Press.
    Linguistic Issues in Language Technology (LiLT) is an open-access journal that focuses on the relationships between linguistic insights and language technology. In conjunction with machine learning and statistical techniques, deeper and more sophisticated models of language and speech are needed to make significant progress in both existing and newly emerging areas of computational language analysis. The vast quantity of electronically accessible natural language data (text and speech, annotated and unannotated, formal and informal) provides unprecedented opportunities for data-intensive analysis of (...)
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  33.  24
    Computational Lexical Semantics.Patrick Saint-Dizier & Evelyn Viegas (eds.) - 1995 - Cambridge University Press.
    Lexical semantics has become a major research area within computational linguistics, drawing from psycholinguistics, knowledge representation, computer algorithms and architecture. Research programmes whose goal is the definition of large lexicons are asking what the appropriate representation structure is for different facets of lexical information. Among these facets, semantic information is probably the most complex and the least explored.Computational Lexical Semantics is one of the first volumes to provide models for the creation of various kinds of computerised lexicons (...)
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  34.  15
    The Brain Dynamics of Linguistic Computation.Elliot Murphy - 2015 - Frontiers in Psychology 6.
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  35.  7
    Berwick and Weinberg on Linguistics and Computational Psychology.Edward P. Stabler - 1984 - Cognition 17 (2):155-179.
  36.  4
    CLIBOC: Chinese Linguistics Bibliography on Computer.Paul L.-M. Serruys, William S.-Y. Wang & Anatole Lyovin - 1973 - Journal of the American Oriental Society 93 (2):214.
  37.  3
    The Cambridge Handbook of Computational Cognitive Sciences.Ron Sun (ed.) - 2023 - New York, NY: Cambridge University Press.
    The Cambridge Handbook of Computational Cognitive Sciences is a comprehensive reference for this rapidly developing and highly interdisciplinary field. Written with both newcomers and experts in mind, it provides an accessible introduction of paradigms, methodologies, approaches, and models, with ample detail and illustrated by examples. It should appeal to researchers and students working within the computational cognitive sciences, as well as those working in adjacent fields including philosophy, psychology, linguistics, anthropology, education, neuroscience, artificial intelligence, computer science, and (...)
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  38.  22
    Reference and Computation: An Essay in Applied Philosophy of Language.Amichai Kronfeld - 1990 - Cambridge University Press.
    This book deals with a major problem in the study of language: the problem of reference. The ease with which we refer to things in conversation is deceptive. Upon closer scrutiny, it turns out that we hardly ever tell each other explicitly what object we mean, although we expect our interlocutor to discern it. Amichai Kronfeld provides an answer to two questions associated with this: how do we successfully refer, and how can a computer be programmed to achieve this? Beginning (...)
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  39.  89
    Computation, Information, Cognition: The Nexus and the Liminal.F.Gordana Dodig Crnkovic & Susan Stuart (eds.) - 2007 - Cambridge Scholars Press.
    Written by world-leading experts, this book draws together a number of important strands in contemporary approaches to the philosophical and scientific questions that emerge when dealing with the issues of computing, information, cognition and the conceptual issues that arise at their intersections. It discovers and develops the connections at the borders and in the interstices of disciplines and debates. This volume presents a range of essays that deal with the currently vigorous concerns of the philosophy of information, ontology creation and (...)
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  40. Relational and Role-Governed Categories: Views From Psychology, Computational Modeling, and Linguistics.Micah B. Goldwater, Noah D. Goodman, Stephen Wechsler & Gregory L. Murphy - 2009 - In N. A. Taatgen & H. van Rijn (eds.), Proceedings of the 31st Annual Conference of the Cognitive Science Society.
  41.  6
    Relations in Knowledge Representation: An Interdisciplinary Study in Nyāya, Mīmāṁsā, Vyākaraṇa, Tantra, Modern Linguistics, and Artificial Intelligence in Computer Application.Keśavacandra Dāśa - 1991 - Sri Satguru Publications.
  42.  38
    Head-Driven Phrase Structure Grammar: Linguistic Approach, Formal Foundations, and Computational Realization.Robert D. Levine & W. Detmar Meurers - 2006 - In Keith Brown (ed.), Encyclopedia of Language and Linguistics. Elsevier.
  43. Sentence Comprehension as a Cognitive Process: A Computational Approach.Shravan Vasishth - 2021 - New York: Cambridge University Press.
    Sentence comprehension - the way we process and understand spoken and written language - is a central and important area of research within psycholinguistics. This book explores the contribution of computational linguistics to the field, showing how computational models of sentence processing can help scientists in their investigation of human cognitive processes. It presents the leading computational model of retrieval processes in sentence processing, the Lewis and Vasishth cue-based retrieval mode, and develops a principled methodology for (...)
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  44. Machinations: Computational Studies of Logic, Language, and Cognition.Richard Spencer-Smith, Steve Torrance & Stephen B. Torrance - 1992 - Intellect Books.
    This volume brings together a collection of papers covering a wide range of topics in computer and cognitive science. Topics included are: the foundational relevance of logic to computer science, with particular reference to tense logic, constructive logic, and Horn clause logic; logic as the theoretical underpinnings of the engineering discipline of expert systems; a discussion of the evolution of computational linguistics into functionally distinct task levels; and current issues in the implementation of speech act theory.
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  45.  21
    Computers, Minds and Conduct.Graham Button, Jeff Coulter, John Lee & Wes Sharrock - 1995 - Polity.
    This book provides a sustained and penetrating critique of a wide range of views in modern cognitive science and philosophy of the mind, from Turing's famous test for intelligence in machines to recent work in computational linguistic theory. While discussing many of the key arguments and topics, the authors also develop a distinctive analytic approach. Drawing on the methods of conceptual analysis first elaborated by Wittgenstein and Ryle, the authors seek to show that these methods still have a great (...)
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  46.  50
    Bridging Computational, Formal and Psycholinguistic Approaches to Language.Shimon Edelman - unknown
    We compare our model of unsupervised learning of linguistic structures, ADIOS [1, 2, 3], to some recent work in computational linguistics and in grammar theory. Our approach resembles the Construction Grammar in its general philosophy (e.g., in its reliance on structural generalizations rather than on syntax projected by the lexicon, as in the current generative theories), and the Tree Adjoining Grammar in its computational characteristics (e.g., in its apparent affinity with Mildly Context Sensitive Languages). The representations learned (...)
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  47. A Computational Theory of Perspective and Reference in Narrative.Janyce M. Wiebe & William J. Rapaport - 1988 - In Proceedings of the 26th Annual Meeting of the Association for Computational Linguistics. Association for Computational Linguistics. pp. 131-138.
    Narrative passages told from a character's perspective convey the character's thoughts and perceptions. We present a discourse process that recognizes characters'.
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  48.  2
    Modelling with Words: Learning, Fusion, and Reasoning Within a Formal Linguistic Representation Framework.Jonathan Lawry - 2003 - Springer Verlag.
    Modelling with Words is an emerging modelling methodology closely related to the paradigm of Computing with Words introduced by Lotfi Zadeh. This book is an authoritative collection of key contributions to the new concept of Modelling with Words. A wide range of issues in systems modelling and analysis is presented, extending from conceptual graphs and fuzzy quantifiers to humanist computing and self-organizing maps. Among the core issues investigated are - balancing predictive accuracy and high level transparency in learning - scaling (...)
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  49.  29
    Defining Pictorial Style: Lessons From Linguistics and Computer Graphics. [REVIEW]John Willats & Fredo Durand - 2005 - Axiomathes 15 (3):319-351.
  50.  24
    Towards Computational Rhetoric.Floriana Grasso - 2002 - Informal Logic 22 (3).
    The notions of argument and argumentation have become increasingly ubiquitous in Artificial Intelligence research, with various application and interpretations. Less attention has been, however, specifically devoted to rhetorical argument The work presented in this paper aims at bridging this gap, by proposing a framework for characterising rhetorical argumentation, based on Perelman and Olbrechts-Tyteca's New Rhetoric. The paper provides an overview of the state of the art of computational work based on, or dealing with, rhetorical aspects of argumentation, before presenting (...)
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