Switch to: References

Add citations

You must login to add citations.
  1. Strudel: A Corpus‐Based Semantic Model Based on Properties and Types.Marco Baroni, Brian Murphy, Eduard Barbu & Massimo Poesio - 2010 - Cognitive Science 34 (2):222-254.
    Computational models of meaning trained on naturally occurring text successfully model human performance on tasks involving simple similarity measures, but they characterize meaning in terms of undifferentiated bags of words or topical dimensions. This has led some to question their psychological plausibility (Murphy, 2002;Schunn, 1999). We present here a fully automatic method for extracting a structured and comprehensive set of concept descriptions directly from an English part‐of‐speech‐tagged corpus. Concepts are characterized by weighted properties, enriched with concept–property types that approximate classical (...)
    Download  
     
    Export citation  
     
    Bookmark   6 citations  
  • Uncovering the Richness of the Stimulus: Structure Dependence and Indirect Statistical Evidence.Florencia Reali & Morten H. Christiansen - 2005 - Cognitive Science 29 (6):1007-1028.
    The poverty of stimulus argument is one of the most controversial arguments in the study of language acquisition. Here we follow previous approaches challenging the assumption of impoverished primary linguistic data, focusing on the specific problem of auxiliary (AUX) fronting in complex polar interrogatives. We develop a series of corpus analyses of child‐directed speech showing that there is indirect statistical information useful for correct auxiliary fronting in polar interrogatives and that such information is sufficient for distinguishing between grammatical and ungrammatical (...)
    Download  
     
    Export citation  
     
    Bookmark   36 citations  
  • The Large‐Scale Structure of Semantic Networks: Statistical Analyses and a Model of Semantic Growth.Mark Steyvers & Joshua B. Tenenbaum - 2005 - Cognitive Science 29 (1):41-78.
    We present statistical analyses of the large‐scale structure of 3 types of semantic networks: word associations, WordNet, and Roget's Thesaurus. We show that they have a small‐world structure, characterized by sparse connectivity, short average path lengths between words, and strong local clustering. In addition, the distributions of the number of connections follow power laws that indicate a scale‐free pattern of connectivity, with most nodes having relatively few connections joined together through a small number of hubs with many connections. These regularities (...)
    Download  
     
    Export citation  
     
    Bookmark   82 citations  
  • The imaginary fundamentalists: The unshocking truth about Bayesian cognitive science.Nick Chater, Noah Goodman, Thomas L. Griffiths, Charles Kemp, Mike Oaksford & Joshua B. Tenenbaum - 2011 - Behavioral and Brain Sciences 34 (4):194-196.
    If Bayesian Fundamentalism existed, Jones & Love's (J&L's) arguments would provide a necessary corrective. But it does not. Bayesian cognitive science is deeply concerned with characterizing algorithms and representations, and, ultimately, implementations in neural circuits; it pays close attention to environmental structure and the constraints of behavioral data, when available; and it rigorously compares multiple models, both within and across papers. J&L's recommendation of Bayesian Enlightenment corresponds to past, present, and, we hope, future practice in Bayesian cognitive science.
    Download  
     
    Export citation  
     
    Bookmark   17 citations  
  • The Philosophy of Generative Linguistics.Peter Ludlow - 2011 - Oxford, GB: Oxford University Press.
    Peter Ludlow presents the first book on the philosophy of generative linguistics, including both Chomsky's government and binding theory and his minimalist ...
    Download  
     
    Export citation  
     
    Bookmark   42 citations  
  • Bridging language with the rest of cognition: computational, algorithmic and neurobiological issues and methods.Shimon Edelman - unknown
    The computational program for theoretical neuroscience initiated by Marr and Poggio (1977) calls for a study of biological information processing on several distinct levels of abstraction. At each of these levels — computational (defining the problems and considering possible solutions), algorithmic (specifying the sequence of operations leading to a solution) and implementational — significant progress has been made in the understanding of cognition. In the past three decades, computational principles have been discovered that are common to a wide range of (...)
    Download  
     
    Export citation  
     
    Bookmark  
  • Computational Exploration of Metaphor Comprehension Processes Using a Semantic Space Model.Akira Utsumi - 2011 - Cognitive Science 35 (2):251-296.
    Recent metaphor research has revealed that metaphor comprehension involves both categorization and comparison processes. This finding has triggered the following central question: Which property determines the choice between these two processes for metaphor comprehension? Three competing views have been proposed to answer this question: the conventionality view (Bowdle & Gentner, 2005), aptness view (Glucksberg & Haught, 2006b), and interpretive diversity view (Utsumi, 2007); these views, respectively, argue that vehicle conventionality, metaphor aptness, and interpretive diversity determine the choice between the categorization (...)
    Download  
     
    Export citation  
     
    Bookmark   3 citations  
  • (1 other version)Probabilistic models of cognition: Conceptual foundations.Nick Chater & Alan Yuille - 2006 - Trends in Cognitive Sciences 10 (7):287-291.
    Remarkable progress in the mathematics and computer science of probability has led to a revolution in the scope of probabilistic models. In particular, ‘sophisticated’ probabilistic methods apply to structured relational systems such as graphs and grammars, of immediate relevance to the cognitive sciences. This Special Issue outlines progress in this rapidly developing field, which provides a potentially unifying perspective across a wide range of domains and levels of explanation. Here, we introduce the historical and conceptual foundations of the approach, explore (...)
    Download  
     
    Export citation  
     
    Bookmark   88 citations  
  • Commonality in Codes of Ethics.Margaret Forster, Tim Loughran & Bill McDonald - 2009 - Journal of Business Ethics 90 (S2):129 - 139.
    We create a database of company codes of ethics from firms listed on the Standard & Poor's 500 Index and, separately, a sample of small firms. The SEC believes that "ethics codes do, and should, vary from company to company." Using textual analysis techniques, we measure the extent of commonality across the documents. We find substantial levels of common sentences used by the firms, including a few cases where the codes of ethics are essentially identical. We consider these results in (...)
    Download  
     
    Export citation  
     
    Bookmark   17 citations  
  • Concepts and Synonymy in the UMLS Metathesaurus.Gary H. Merrill - 2009 - Journal of Biomedical Discovery and Collaboration 4 (7).
    This paper advances a detailed exploration of the complex relationships among terms, concepts, and synonymy in the UMLS Metathesaurus, and proposes the study and understanding of the Metathesaurus from a model-theoretic perspective. Initial sections provide the background and motivation for such an approach, and a careful informal treatment of these notions is offered as a context and basis for the formal analysis. What emerges from this is a set of puzzles and confusions in the Metathesaurus and its literature pertaining to (...)
    Download  
     
    Export citation  
     
    Bookmark   3 citations  
  • The uncertain reasoner: Bayes, logic, and rationality.Mike Oaksford & Nick Chater - 2009 - Behavioral and Brain Sciences 32 (1):105-120.
    Human cognition requires coping with a complex and uncertain world. This suggests that dealing with uncertainty may be the central challenge for human reasoning. In Bayesian Rationality we argue that probability theory, the calculus of uncertainty, is the right framework in which to understand everyday reasoning. We also argue that probability theory explains behavior, even on experimental tasks that have been designed to probe people's logical reasoning abilities. Most commentators agree on the centrality of uncertainty; some suggest that there is (...)
    Download  
     
    Export citation  
     
    Bookmark   14 citations  
  • Nietzsche's Three Metamorphoses and Their Relevance to Artificial Intelligence Development.Beni Beeri Issembert - unknown
    This opinion paper delves into the philosophical underpinnings and implications of artificial intelligence (AI) development through the lens of Friedrich Nietzsche's "Three Metamorphoses," exploring the stages from the camel, through the lion, to the envisioned child phase within the AI context. Amidst growing concerns over AI's ethical ramifications, including job displacement, biased decision-making, and misuse potential, this analysis seeks to provide a comprehensive framework for understanding AI's evolution and its socio-technical effects on society. The discourse begins by contextualizing AI within (...)
    Download  
     
    Export citation  
     
    Bookmark  
  • Why Machines Will Never Rule the World: Artificial Intelligence without Fear.Jobst Landgrebe & Barry Smith - 2022 - Abingdon, England: Routledge.
    The book’s core argument is that an artificial intelligence that could equal or exceed human intelligence—sometimes called artificial general intelligence (AGI)—is for mathematical reasons impossible. It offers two specific reasons for this claim: Human intelligence is a capability of a complex dynamic system—the human brain and central nervous system. Systems of this sort cannot be modelled mathematically in a way that allows them to operate inside a computer. In supporting their claim, the authors, Jobst Landgrebe and Barry Smith, marshal evidence (...)
    Download  
     
    Export citation  
     
    Bookmark   4 citations  
  • A Defense of Meaning Eliminativism: A Connectionist Approach.Tolgahan Toy - 2022 - Dissertation, Middle East Technical University
    The standard approach to model how human beings understand natural languages is the symbolic, compositional approach according to which the meaning of a complex expression is a function of the meanings of its constituents. In other words, meaning plays a fundamental role in the model. In this work, because of the polysemous, flexible, dynamic, and contextual structure of natural languages, this approach is rejected. Instead, a connectionist model which eliminates the concept of meaning is proposed.
    Download  
     
    Export citation  
     
    Bookmark  
  • A qualitative analysis of sarcasm, irony and related #hashtags on Twitter.Thomas W. Jackson, Suzanne Elayan & Martin Sykora - 2020 - Big Data and Society 7 (2).
    As the use of automated social media analysis tools surges, concerns over accuracy of analytics have increased. Some tentative evidence suggests that sarcasm alone could account for as much as a 50% drop in accuracy when automatically detecting sentiment. This paper assesses and outlines the prevalence of sarcastic and ironic language within social media posts. Several past studies proposed models for automatic sarcasm and irony detection for sentiment analysis; however, these approaches result in models trained on training data of highly (...)
    Download  
     
    Export citation  
     
    Bookmark  
  • Close encounters of the conceptual kind: Disambiguating social structure from text.Timothy Hannigan - 2015 - Big Data and Society 2 (2).
    Despite its empirical prominence, there is very little extant organizational research on Big Data. However, there is reason to believe this is changing as organizational theory scholars are beginning to embrace new methods and data sources. In this essay, I present a view that suggests there are several latent opportunities, many of which have been simmering unattended for some time. This research approach is not without its challenges, as the ontological terrain of Big Data is untested and potentially disruptive. However, (...)
    Download  
     
    Export citation  
     
    Bookmark  
  • Why Can Computers Understand Natural Language?Juan Luis Gastaldi - 2020 - Philosophy and Technology 34 (1):149-214.
    The present paper intends to draw the conception of language implied in the technique of word embeddings that supported the recent development of deep neural network models in computational linguistics. After a preliminary presentation of the basic functioning of elementary artificial neural networks, we introduce the motivations and capabilities of word embeddings through one of its pioneering models, word2vec. To assess the remarkable results of the latter, we inspect the nature of its underlying mechanisms, which have been characterized as the (...)
    Download  
     
    Export citation  
     
    Bookmark   3 citations  
  • Communication and content.Prashant Parikh - 2019 - Berlin, Germany: Language Science Press.
    Communication and content presents a comprehensive and foundational account of meaning based on new versions of situation theory and game theory. The literal and implied meanings of an utterance are derived from first principles assuming little more than the partial rationality of interacting agents. New analyses of a number of diverse phenomena – a wide notion of ambiguity and content encompassing phonetics, syntax, semantics, pragmatics, and beyond, vagueness, convention and conventional meaning, indeterminacy, universality, the role of truth in communication, semantic (...)
    Download  
     
    Export citation  
     
    Bookmark   2 citations  
  • There is no general AI.Jobst Landgrebe & Barry Smith - 2020 - arXiv.
    The goal of creating Artificial General Intelligence (AGI) – or in other words of creating Turing machines (modern computers) that can behave in a way that mimics human intelligence – has occupied AI researchers ever since the idea of AI was first proposed. One common theme in these discussions is the thesis that the ability of a machine to conduct convincing dialogues with human beings can serve as at least a sufficient criterion of AGI. We argue that this very ability (...)
    Download  
     
    Export citation  
     
    Bookmark  
  • Word meaning.Luca Gasparri & Diego Marconi - 2015 - Stanford Encyclopedia of Philosophy.
    Download  
     
    Export citation  
     
    Bookmark   3 citations  
  • Reasoning with vectors: A continuous model for fast robust inference.Dominic Widdows & Trevor Cohen - 2015 - Logic Journal of the IGPL 23 (2):141-173.
    This article describes the use of continuous vector space models for reasoning with a formal knowledge base. The practical significance of these models is that they support fast, approximate but robust inference and hypothesis generation, which is complementary to the slow, exact, but sometimes brittle behaviour of more traditional deduction engines such as theorem provers.The article explains the way logical connectives can be used in semantic vector models, and summarizes the development of Predication-based Semantic Indexing, which involves the use of (...)
    Download  
     
    Export citation  
     
    Bookmark   1 citation  
  • The language faculty that wasn't: a usage-based account of natural language recursion.Morten H. Christiansen & Nick Chater - 2015 - Frontiers in Psychology 6:150920.
    In the generative tradition, the language faculty has been shrinking—perhaps to include only the mechanism of recursion. This paper argues that even this view of the language faculty is too expansive. We first argue that a language faculty is difficult to reconcile with evolutionary considerations. We then focus on recursion as a detailed case study, arguing that our ability to process recursive structure does not rely on recursion as a property of the grammar, but instead emerges gradually by piggybacking on (...)
    Download  
     
    Export citation  
     
    Bookmark   13 citations  
  • Artificial Intelligence and Cognition. Proceedings of the First International Workshop AIC 2013.Antonio Lieto & Marco Cruciani (eds.) - 2013 - CEUR Workshop Proceedings.
    Proceedings of the Workshop on AI and Cognition.
    Download  
     
    Export citation  
     
    Bookmark  
  • Automatic Extraction of Property Norm‐Like Data From Large Text Corpora.Colin Kelly, Barry Devereux & Anna Korhonen - 2014 - Cognitive Science 38 (4):638-682.
    Traditional methods for deriving property-based representations of concepts from text have focused on either extracting only a subset of possible relation types, such as hyponymy/hypernymy (e.g., car is-a vehicle) or meronymy/metonymy (e.g., car has wheels), or unspecified relations (e.g., car—petrol). We propose a system for the challenging task of automatic, large-scale acquisition of unconstrained, human-like property norms from large text corpora, and discuss the theoretical implications of such a system. We employ syntactic, semantic, and encyclopedic information to guide our extraction, (...)
    Download  
     
    Export citation  
     
    Bookmark  
  • From Exemplar to Grammar: A Probabilistic Analogy‐Based Model of Language Learning.Rens Bod - 2009 - Cognitive Science 33 (5):752-793.
    While rules and exemplars are usually viewed as opposites, this paper argues that they form end points of the same distribution. By representing both rules and exemplars as (partial) trees, we can take into account the fluid middle ground between the two extremes. This insight is the starting point for a new theory of language learning that is based on the following idea: If a language learner does not know which phrase‐structure trees should be assigned to initial sentences, s/he allows (...)
    Download  
     
    Export citation  
     
    Bookmark   15 citations  
  • Argumentation mining.Raquel Mochales & Marie-Francine Moens - 2011 - Artificial Intelligence and Law 19 (1):1-22.
    Argumentation mining aims to automatically detect, classify and structure argumentation in text. Therefore, argumentation mining is an important part of a complete argumentation analyisis, i.e. understanding the content of serial arguments, their linguistic structure, the relationship between the preceding and following arguments, recognizing the underlying conceptual beliefs, and understanding within the comprehensive coherence of the specific topic. We present different methods to aid argumentation mining, starting with plain argumentation detection and moving forward to a more structural analysis of the detected (...)
    Download  
     
    Export citation  
     
    Bookmark   29 citations  
  • An Introduction to Information Retrieval.Christopher D. Manning - unknown
    1 Boolean retrieval 1 2 The term vocabulary and postings lists 19 3 Dictionaries and tolerant retrieval 49 4 Index construction 67 5 Index compression 85 6 Scoring, term weighting and the vector space model 109 7 Computing scores in a complete search system 135 8 Evaluation in information retrieval 151 9 Relevance feedback and query expansion 177 10 XML retrieval 195 11 Probabilistic information retrieval 219 12 Language models for information retrieval 237 13 Text classification and Naive Bayes 253 (...)
    Download  
     
    Export citation  
     
    Bookmark   20 citations  
  • Working the crowd: Design principles and early lessons from the social-semantic web.Colin Allen - 2009 - Proceedings of Workshop on Web 3.0: Merging Semantic Web and Social Web 2009 (SW)^2 Turin, Italy, June 29, 2009, CEUR Workshop Proceedings, ISSN 1613-0073.
    The Indiana Philosophy Ontology (InPhO) project is presented as one of the first social-semantic web endeavors which aims to bootstrap feedback from users unskilled in ontology design into a precise representation of a specific domain. Our approach combines statistical text processing methods with expert feedback and logic programming approaches to create a dynamic semantic representation of the discipline of philosophy. We describe the basic principles and initial experimental results of our system.
    Download  
     
    Export citation  
     
    Bookmark  
  • Enriching the knowledge sources used in a maximum entropy part-of-speech tagger.Christopher Manning - manuscript
    Kristina Toutanova Christopher D. Manning Dept of Computer Science Depts of Computer Science and Linguistics Gates Bldg 4A, 353 Serra Mall Gates Bldg 4A, 353 Serra Mall Stanford, CA 94305–9040, USA Stanford, CA 94305–9040, USA [email protected] [email protected]..
    Download  
     
    Export citation  
     
    Bookmark   4 citations  
  • Towards a general model of applying science.Rens Bod - 2006 - International Studies in the Philosophy of Science 20 (1):5 – 25.
    How is scientific knowledge used, adapted, and extended in deriving phenomena and real-world systems? This paper aims at developing a general account of 'applying science' within the exemplar-based framework of Data-Oriented Processing (DOP), which is also known as Exemplar-Based Explanation (EBE). According to the exemplar-based paradigm, phenomena are explained not by deriving them all the way down from theoretical laws and boundary conditions but by modelling them on previously derived phenomena that function as exemplars. To accomplish this, DOP proposes to (...)
    Download  
     
    Export citation  
     
    Bookmark   9 citations  
  • A Rational Analysis of Rule‐Based Concept Learning.Noah D. Goodman, Joshua B. Tenenbaum, Jacob Feldman & Thomas L. Griffiths - 2008 - Cognitive Science 32 (1):108-154.
    This article proposes a new model of human concept learning that provides a rational analysis of learning feature‐based concepts. This model is built upon Bayesian inference for a grammatically structured hypothesis space—a concept language of logical rules. This article compares the model predictions to human generalization judgments in several well‐known category learning experiments, and finds good agreement for both average and individual participant generalizations. This article further investigates judgments for a broad set of 7‐feature concepts—a more natural setting in several (...)
    Download  
     
    Export citation  
     
    Bookmark   69 citations  
  • A primer on probabilistic inference.Thomas L. Griffiths & Alan Yuille - 2008 - In Nick Chater & Mike Oaksford (eds.), The Probabilistic Mind: Prospects for Bayesian Cognitive Science. Oxford University Press. pp. 33--57.
    Download  
     
    Export citation  
     
    Bookmark  
  • Two proposals for causal grammars.Thomas L. Griffiths & Joshua B. Tenenbaum - 2007 - In Alison Gopnik & Laura Schulz (eds.), Causal learning: psychology, philosophy, and computation. New York: Oxford University Press. pp. 323--345.
    Download  
     
    Export citation  
     
    Bookmark   13 citations  
  • Intuitive theories as grammars for causal inference.Joshua B. Tenenbaum, Thomas L. Griffiths & Sourabh Niyogi - 2007 - In Alison Gopnik & Laura Schulz (eds.), Causal learning: psychology, philosophy, and computation. New York: Oxford University Press. pp. 301--322.
    Download  
     
    Export citation  
     
    Bookmark   18 citations  
  • Shifting senses in lexical semantic development.Hugh Rabagliati, Gary F. Marcus & Liina Pylkkänen - 2010 - Cognition 117 (1):17-37.
    Download  
     
    Export citation  
     
    Bookmark   5 citations  
  • The effect of word predictability on reading time is logarithmic.Nathaniel J. Smith & Roger Levy - 2013 - Cognition 128 (3):302-319.
    Download  
     
    Export citation  
     
    Bookmark   53 citations  
  • We and the plural subject.Boudewijn de Bruin - 2009 - Philosophy of the Social Sciences 39 (2):235-259.
    Margaret Gilbert's plural subject theory defines social collectives in terms of common knowledge of expressed willingness to participate in some joint action. The author critically examines Gilbert's application of this theory to linguistic phenomena involving "we," arguing that recent work in linguistics provides the tools to develop a superior account. The author indicates that, apart from its own relevance, one should care about this critique because Gilbert's claims about the first person plural pronoun play a role in the argument in (...)
    Download  
     
    Export citation  
     
    Bookmark   2 citations  
  • Innovative techniques for legal text retrieval.Marie-Francine Moens - 2001 - Artificial Intelligence and Law 9 (1):29-57.
    Legal text retrieval traditionally relies upon external knowledge sources such as thesauri and classification schemes, and an accurate indexing of the documents is often manually done. As a result not all legal documents can be effectively retrieved. However a number of current artificial intelligence techniques are promising for legal text retrieval. They sustain the acquisition of knowledge and the knowledge-rich processing of the content of document texts and information need, and of their matching. Currently, techniques for learning information needs, learning (...)
    Download  
     
    Export citation  
     
    Bookmark   3 citations  
  • evoText: A new tool for analyzing the biological sciences.Grant Ramsey & Charles H. Pence - 2016 - Studies in History and Philosophy of Science Part C: Studies in History and Philosophy of Biological and Biomedical Sciences 57:83-87.
    We introduce here evoText, a new tool for automated analysis of the literature in the biological sciences. evoText contains a database of hundreds of thousands of journal articles and an array of analysis tools for generating quantitative data on the nature and history of life science, especially ecology and evolutionary biology. This article describes the features of evoText, presents a variety of examples of the kinds of analyses that evoText can run, and offers a brief tutorial describing how to use (...)
    Download  
     
    Export citation  
     
    Bookmark   12 citations  
  • Predictive uncertainty in auditory sequence processing.Niels Chr Hansen & Marcus T. Pearce - 2014 - Frontiers in Psychology 5:88945.
    Previous studies of auditory expectation have focused on the expectedness perceived by listeners retrospectively in response to events. In contrast, this research examines predictive uncertainty —a property of listeners' prospective state of expectation prior to the onset of an event. We examine the information-theoretic concept of Shannon entropy as a model of predictive uncertainty in music cognition. This is motivated by the Statistical Learning Hypothesis, which proposes that schematic expectations reflect probabilistic relationships between sensory events learned implicitly through exposure. Using (...)
    Download  
     
    Export citation  
     
    Bookmark   15 citations  
  • Harmony in Linguistic Cognition.Paul Smolensky - 2006 - Cognitive Science 30 (5):779-801.
    In this article, I survey the integrated connectionist/symbolic (ICS) cognitive architecture in which higher cognition must be formally characterized on two levels of description. At the microlevel, parallel distributed processing (PDP) characterizes mental processing; this PDP system has special organization in virtue of which it can be characterized at the macrolevel as a kind of symbolic computational system. The symbolic system inherits certain properties from its PDP substrate; the symbolic functions computed constitute optimization of a well-formedness measure called Harmony. The (...)
    Download  
     
    Export citation  
     
    Bookmark   3 citations  
  • Explaining new phenomena in terms of previous phenomena.Rens Bod - unknown
    It has become increasingly clear that natural phenomena cannot be formally deduced from laws but that almost every phenomenon has its own particular way of being linked to higher-level generalizations, usually via approximations, normalizations and corrections. This article deals with the following problem: if there are no general principles to link laws to phenomena, and if each phenomenon has its own way of being explained, how can we -- or how can a theory -- explain any new phenomenon? I will (...)
    Download  
     
    Export citation  
     
    Bookmark  
  • A data-driven computational semiotics: The semantic vector space of Magritte’s artworks.Jean-François Chartier, Davide Pulizzotto, Louis Chartrand & Jean-Guy Meunier - 2019 - Semiotica 2019 (230):19-69.
    The rise of big digital data is changing the framework within which linguists, sociologists, anthropologists, and other researchers are working. Semiotics is not spared by this paradigm shift. A data-driven computational semiotics is the study with an intensive use of computational methods of patterns in human-created contents related to semiotic phenomena. One of the most promising frameworks in this research program is the Semantic Vector Space (SVS) models and their methods. The objective of this article is to contribute to the (...)
    Download  
     
    Export citation  
     
    Bookmark   1 citation  
  • Multilevel Exemplar Theory.Michael Walsh, Bernd Möbius, Travis Wade & Hinrich Schütze - 2010 - Cognitive Science 34 (4):537-582.
    Download  
     
    Export citation  
     
    Bookmark   7 citations  
  • A cross-cultural study of English and Chinese online platform reviews: A genre-based view.Ruochen Jiang, Laikun Ma & Yunxia Zhu - 2019 - Discourse and Communication 13 (3):342-365.
    Regardless of the increasing research attention paid to peer-to-peer accommodation worldwide, our understanding of consumer experiences across different languages and cultures is limited. Extant research tends to support the view that consumer experiences are homogeneous, while overlooking possible cultural divergence across cultures. To fill this gap, this study uses a cross-cultural perspective based on genre analysis and cross-cultural rhetoric study to compare English and Chinese reviews about users’ peer-to-peer accommodation experiences in two popular platforms in China, Airbnb and Xiaozhu. Through (...)
    Download  
     
    Export citation  
     
    Bookmark  
  • A Probabilistic Model of Meter Perception: Simulating Enculturation.Bastiaan van der Weij, Marcus T. Pearce & Henkjan Honing - 2017 - Frontiers in Psychology 8:238583.
    Enculturation is known to shape the perception of meter in music but this is not explicitly accounted for by current cognitive models of meter perception. We hypothesize that meter perception is a strategy for increasing the predictability of rhythmic patterns and that the way in which it is shaped by the cultural environment can be understood in terms of probabilistic predictive coding. Based on this hypothesis, we present a probabilistic model of meter perception that uses statistical properties of the relation (...)
    Download  
     
    Export citation  
     
    Bookmark   3 citations  
  • Minimal Semantics and Word Sense Disambiguation.Luca Gasparri - 2014 - Disputatio 6 (39):147-171.
    Emma Borg has defined semantic minimalism as the thesis that the literal content of well-formed declarative sentences is truth-evaluable, fully determined by their lexico-syntactic features, and recoverable by language users with no need to access non-linguistic information. The task of this article is threefold. First, I shall raise a criticism to Borg’s minimalism based on how speakers disambiguate homonymy. Second, I will explore some ways Borg might respond to my argument and maintain that none of them offers a conclusive reply (...)
    Download  
     
    Export citation  
     
    Bookmark   1 citation  
  • Learning grammatical categories from distributional cues: Flexible frames for language acquisition.Michelle C. St Clair, Padraic Monaghan & Morten H. Christiansen - 2010 - Cognition 116 (3):341-360.
    Download  
     
    Export citation  
     
    Bookmark   12 citations  
  • Part-of-Speech Tagging from 97% to 100%: Is It Time for Some Linguistics?Christopher D. Manning - unknown
    I examine what would be necessary to move part-of-speech tagging performance from its current level of about 97.3% token accuracy (56% sentence accuracy) to close to 100% accuracy. I suggest that it must still be possible to greatly increase tagging performance and examine some useful improvements that have recently been made to the Stanford Part-of-Speech Tagger. However, an error analysis of some of the remaining errors suggests that there is limited further mileage to be had either from better machine learning (...)
    Download  
     
    Export citation  
     
    Bookmark   2 citations  
  • In times of crisis: a corpus approach to the construction of the global financial crisis in annual reports.Alon Lischinsky - 2011 - Critical Discourse Studies 8 (3):153-168.
    Although both academics and policy-makers still debate its exact causes and the extent of its consequences, the ongoing financial crisis is doubtlessly the most distinctive economic event of the late 2000s. But despite the importance of such large-scale economic phenomena, there has been little research on their discursive construction. This paper presents some empirical data to show how the crisis is identified and its boundaries construed in corporate communication, seeking to understand how economic actors selectively shape public perceptions of critical (...)
    Download  
     
    Export citation  
     
    Bookmark   4 citations