Results for 'semantic search'

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  1.  55
    Semantic Search in the Remote Associates Test.Eddy J. Davelaar - 2015 - Topics in Cognitive Science 7 (3):494-512.
    Searching through semantic memory may involve the use of several retrieval cues. In a verbal fluency task, the set of available cues is limited and every candidate word is a target. Individuals exhibit clustering behavior as predicted by optimal foraging theory. In another semantic search task, the remote associates task, three cues are presented and a single target word has to be found. Whereas the task has been widely studied as a task of creativity or insight problem (...)
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  2. Enhancing Semantic Searching of Legal Documents Through LSTM-Based Named Entity Recognition and Semantic Classification.Varsha Naik, Rajeswari K. & Purvang Patel - forthcoming - International Journal for the Semiotics of Law - Revue Internationale de Sémiotique Juridique:1-18.
    In natural language processing (NLP), named entity recognition (NER) and semantic classification are essential tasks. NER is a fundamental task, that identify named entities in text such as people, organizations, and locations. In Legal domain, NER is particularly important due to the variety of named entities that appear in legal documents and are important for legal analysis whereas Semantic classification is the process of giving each sentence in a text a semantic label, such as ”fact,””arguments,” or”judgement”. Both (...)
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  3.  28
    Semantic search during divergent thinking.Richard W. Hass - 2017 - Cognition 166 (C):344-357.
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  4.  33
    Multiply-constrained semantic search in the Remote Associates Test.Kevin A. Smith, David E. Huber & Edward Vul - 2013 - Cognition 128 (1):64-75.
  5. MathWebSearch 0.4 A Semantic Search Engine for Mathematics.Michael Kohlhase - unknown
    We present a search engine for mathematical formulae. The MathWebSearch system harvests the web for content representations of formulae and indexes them with substitution tree indexing. In version 0.4 we have parallelized and distributed the search server and augmented the web interface with a new JavaScript-based visual editor for content math formulae. Furthermore, we have extended the query language by generalization, variants, unification, and text search facilities, which can also be mixed. Our experiments show that this architecture (...)
     
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  6. Peer-to-Peer Semantic Search Engine.Tomáš Havryluk & Ivan Jelínek - 2007 - Communication and Cognition: An Interdisciplinary Quarterly Journal 40 (3):215.
     
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  7. OmniSearch: a semantic search system based on the Ontology for MIcroRNA Target Gene Interaction data.Huang Jingshan, Gutierrez Fernando, J. Strachan Harrison, Dou Dejing, Huang Weili, A. Blake Judith, Barry Smith, Eilbeck Karen, A. Natale Darren & Lin Yu - 2016 - Journal of Biomedical Semantics 7 (1):1.
    In recent years, sequencing technologies have enabled the identification of a wide range of non-coding RNAs (ncRNAs). Unfortunately, annotation and integration of ncRNA data has lagged behind their identification. Given the large quantity of information being obtained in this area, there emerges an urgent need to integrate what is being discovered by a broad range of relevant communities. To this end, the Non-Coding RNA Ontology (NCRO) is being developed to provide a systematically structured and precisely defined controlled vocabulary for the (...)
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  8.  43
    The Role of Sequential Dependence in Creative Semantic Search.Kevin A. Smith & Edward Vul - 2015 - Topics in Cognitive Science 7 (3):543-546.
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  9.  20
    Semantic Memory Search and Retrieval in a Novel Cooperative Word Game: A Comparison of Associative and Distributional Semantic Models.Abhilasha A. Kumar, Mark Steyvers & David A. Balota - 2021 - Cognitive Science 45 (10):e13053.
    Considerable work during the past two decades has focused on modeling the structure of semantic memory, although the performance of these models in complex and unconstrained semantic tasks remains relatively understudied. We introduce a two‐player cooperative word game, Connector (based on the boardgame Codenames), and investigate whether similarity metrics derived from two large databases of human free association norms, the University of South Florida norms and the Small World of Words norms, and two distributional semantic models based (...)
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  10.  74
    Foraging in Semantic Fields: How We Search Through Memory.Thomas T. Hills, Peter M. Todd & Michael N. Jones - 2015 - Topics in Cognitive Science 7 (3):513-534.
    When searching for concepts in memory—as in the verbal fluency task of naming all the animals one can think of—people appear to explore internal mental representations in much the same way that animals forage in physical space: searching locally within patches of information before transitioning globally between patches. However, the definition of the patches being searched in mental space is not well specified. Do we search by activating explicit predefined categories and recall items from within that category, or do (...)
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  11. In Search of the Semantics of Emptiness.Koji Tanaka - 2014 - In JeeLoo Liu & Douglas Berger (eds.), Nothingness in Asian Philosophy. London: Routledge. pp. 55-63.
  12.  30
    Search for syllogistic structure of semantic information.Marcin J. Schroeder - 2012 - Journal of Applied Non-Classical Logics 22 (1-2):83-103.
    The study of information based on the approach of Shannon was detached from problems of meaning. Also, it did not allow analysis of the structural characteristics of information, nor describe the way structures carry information. An outline of a different theory of information, including its semantics, was earlier proposed by the author. This theory was using closure spaces to model information. In the present paper, structures (called syllogistics) underlying syllogistic reasoning as well as ethnoscientific classifications are identified together with the (...)
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  13. The Search for the Semantic Grail.John Perry - 2003 - Philosophic Exchange 33 (1).
    One factor that has engendered skepticism about semantic content is the idea that there can be content only if there is exactly one thing that performs all the functions that have been associated with content. This paper argues that there is no such thing as content in this unified sense. Rather, what exists is a structure of related contents. Instead of a single grail, there is more of a semantic tea service.
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  14. Goldilocks searches for a conceptual semantics.Steven Horst - manuscript
    This is a relatively breezy version of an exploration of some issues about how to provide a theory of concepts and conceptual semantics. I have also written more conventional versions of some of this material (without the Three Bears motif), though those are set in a broader context.
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  15.  37
    In search for a new distraction: the efficiency of a novel attentional deployment versus semantic meaning regulation strategies.Gal Sheppes, William J. Brady & Andrea C. Samson - 2014 - Frontiers in Psychology 5.
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  16.  11
    Reductive Logic, Proof-Search, and Coalgebra: A Perspective from Resource Semantics.Alexander V. Gheorghiu, Simon Docherty & David J. Pym - 2023 - In Alessandra Palmigiano & Mehrnoosh Sadrzadeh (eds.), Samson Abramsky on Logic and Structure in Computer Science and Beyond. Springer Verlag. pp. 833-875.
    The reductive, as opposed to deductive, view of logic is the form of logic that is, perhaps, most widely employed in practical reasoning. In particular, it is the basis of logic programming. Here, building on the idea of uniform proof in reductive logic, we give a treatment of logic programming for BI, the logic of bunched implications, giving both operational and denotational semantics, together with soundness and completeness theorems, all couched in terms of the resource interpretation of BI’s semantics. We (...)
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  17.  8
    Reductive logic and proof-search: proof theory, semantics, and control.David J. Pym & Eike Ritter - 2004 - New York: Oxford University Press. Edited by Eike Ritter.
    This book is a specialized monograph on the development of the mathematical and computational metatheory of reductive logic and proof-search, areas of logic that are becoming important in computer science. A systematic foundational text on these emerging topics, it includes proof-theoretic, semantic/model-theoretic and algorithmic aspects. The scope ranges from the conceptual background to reductive logic, through its mathematical metatheory, to its modern applications in the computational sciences. Suitable for researchers and graduate students in mathematical, computational and philosophical logic, (...)
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  18.  20
    Searching for Semantic Knowledge: A Vector Space Semantic Analysis of the Feature Generation Task.Rebecca A. Cutler, Melissa C. Duff & Sean M. Polyn - 2019 - Frontiers in Human Neuroscience 13.
  19.  12
    Reductive Logic and Proof-Search: Proof Theory, Semantics, and Control.David J. Pym & Eike Ritter - 2004 - Oxford, England: Oxford University Press UK. Edited by Eike Ritter.
    This book is a specialized monograph on the development of the mathematical and computational metatheory of reductive logic and proof-search, areas of logic that are becoming important in computer science. A systematic foundational text on these emerging topics, it includes proof-theoretic, semantic/model-theoretic and algorithmic aspects. The scope ranges from the conceptual background to reductive logic, through its mathematical metatheory, to its modern applications in the computational sciences. Suitable for researchers and graduate students in mathematical, computational and philosophical logic, (...)
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  20.  30
    Reductive logic and proof-search: proof theory, semantics, and control.David J. Pym - 2004 - New York: Oxford University Press. Edited by Eike Ritter.
    This book is a specialized monograph on the development of the mathematical and computational metatheory of reductive logic and proof-search including proof-theoretic, semantic/model-theoretic and algorithmic aspects. The scope ranges from the conceptual background to reductive logic, through its mathematical metatheory, to its modern applications in the computational sciences.
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  21.  20
    Neural Processing of Repeated Search Targets Depends Upon the Stimuli: Real World Stimuli Engage Semantic Processing and Recognition Memory.Trafton Drew, Lauren H. Williams, Christopher Michael Jones & Roy Luria - 2018 - Frontiers in Human Neuroscience 12.
  22.  17
    When Stronger Knowledge Slows You Down: Semantic Relatedness Predicts Children's Co‐Activation of Related Items in a Visual Search Paradigm.Catarina Vales & Anna V. Fisher - 2019 - Cognitive Science 43 (6):e12746.
    A large literature suggests that the organization of words in semantic memory, reflecting meaningful relations among words and the concepts to which they refer, supports many cognitive processes, including memory encoding and retrieval, word learning, and inferential reasoning. The co‐activation of related items has been proposed as a mechanism by which semantic knowledge influences cognition, and contemporary accounts of semantic knowledge propose that this co‐activation is graded—that it depends on how strongly related the items are in (...) memory. Prior research with adults yielded evidence supporting this prediction; however, there is currently no evidence of graded co‐activation early in development. This study provides the first evidence that in children the co‐activation of related items depends on their relational strength in semantic memory. Participants (N = 84, age range: 3–9 years) were asked to identify a target (e.g., bone) amid distractors. Children's responses were slowed down by the presence of a related distractor (e.g., puppy) relative to unrelated distractors (e.g., flower)—suggesting that children co‐activated related items upon hearing the name of the target. Importantly, the degree of this co‐activation was predicted by the strength of the target–distractor relation, such that distractors more strongly related to the targets slowed down children to a larger extent. These findings have important implications for understanding how organized semantic knowledge affects other cognitive processes across development. (shrink)
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  23.  26
    Effects of orthographic and semantic distractors on visual search for single words.Laure Léger, Jean-François Rouet, Christine Ros & Nicolas Vibert - 2008 - In B. C. Love, K. McRae & V. M. Sloutsky (eds.), Proceedings of the 30th Annual Conference of the Cognitive Science Society. Cognitive Science Society.
  24.  11
    Interactive Dynamic Presentation (IDP) and Semantic Faceted Search and Browsing (SFB) of the Wittgenstein Nachlass.Alois Pichler - 2023 - Wittgenstein-Studien 14 (1):131-151.
    In 2000 the Wittgenstein Archives at the University of Bergen (WAB) published the CD-ROM edition of Wittgenstein’s Nachlass: The Bergen Electronic Edition (BEE). Moreover, since then WAB has worked towards complementing the static CD-ROM edition with an interactive web platform that additionally allows more user-specific and more user-tailored utilizations of WAB’s Nachlass resources. The paper describes two specific web service tools of this platform: Interactive Dynamic Presentation (IDP) of the Wittgenstein Nachlass and Semantic Faceted Search and Browsing (SFB) (...)
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  25. A semantic approach for knowledge capture of microRNA-target gene interactions.Jingshan Huang, Fernando Gutierrez, Dejing Dou, Judith A. Blake, Karen Eilbeck, Darren A. Natale, Barry Smith, Yu Lin, Xiaowei Wang & Zixing Liu - 2015 - In Jingshan Huang, Fernando Gutierrez, Dejing Dou, Judith A. Blake, Karen Eilbeck, Darren A. Natale, Barry Smith, Yu Lin, Xiaowei Wang & Zixing Liu (eds.), IEEE International Conference on Bioinformatics and Biomedicine (IEEE BIBM 2015),. pp. 975-982.
    Research has indicated that microRNAs (miRNAs), a special class of non-coding RNAs (ncRNAs), can perform important roles in different biological and pathological processes. miRNAs’ functions are realized by regulating their respective target genes (targets). It is thus critical to identify and analyze miRNA-target interactions for a better understanding and delineation of miRNAs’ functions. However, conventional knowledge discovery and acquisition methods have many limitations. Fortunately, semantic technologies that are based on domain ontologies can render great assistance in this regard. In (...)
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  26.  59
    The interplay of episodic and semantic memory in guiding repeated search in scenes.Melissa L.-H. Võ & Jeremy M. Wolfe - 2013 - Cognition 126 (2):198-212.
  27.  17
    Modeling law search as prediction.Faraz Dadgostari, Mauricio Guim, Peter A. Beling, Michael A. Livermore & Daniel N. Rockmore - 2020 - Artificial Intelligence and Law 29 (1):3-34.
    Law search is fundamental to legal reasoning and its articulation is an important challenge and open problem in the ongoing efforts to investigate legal reasoning as a formal process. This Article formulates a mathematical model that frames the behavioral and cognitive framework of law search as a sequential decision process. The model has two components: first, a model of the legal corpus as a search space and second, a model of the search process that is compatible (...)
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  28.  13
    The Semantics of Eating in Afrikaans and Northern Sotho: Cross-linguistic Variation in Metaphor.Elsabé Taljard & Nerina Bosman - 2014 - Metaphor and Symbol 29 (3):224-245.
    The abundant and systematic presence of metaphor in language has in particular been explored by departing from the embodied nature of many metaphors. In the current research we investigate the manner in which the concept EATING in two nonrelated languages, namely Afrikaans (a Germanic language) and Northern Sotho (a Bantu language) gives rise to metaphorical expressions in these two languages. The two notions of cultural model and metaphor form the cornerstones of our research. The basic question guiding our research is (...)
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  29.  14
    Moral search in multicultural communication.I. A. Donnikova - 2018 - Anthropological Measurements of Philosophical Research 14:30-41.
    Purpose of the work is to identify and justify the moral priorities in multicultural communication. Theoretical basis is the works of foreign and Ukrainian authors, revealing the main approaches to the problem of multiculturalism; studies on ethics and philosophical anthropology that define the problem field in the anthropo-logy of morality. The work uses: the conceptual provisions of phenomenology – for the disclosure of the semantic uncertainty of human existence as a prerequisite of moral search; existential philosophy – to (...)
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  30.  60
    Relational semantics and a relational proof system for full Lambek calculus.Wendy MacCaull - 1998 - Journal of Symbolic Logic 63 (2):623-637.
    In this paper we give relational semantics and an accompanying relational proof theory for full Lambek calculus (a sequent calculus which we denote by FL). We start with the Kripke semantics for FL as discussed in [11] and develop a second Kripke-style semantics, RelKripke semantics, as a bridge to relational semantics. The RelKripke semantics consists of a set with two distinguished elements, two ternary relations and a list of conditions on the relations. It is accompanied by a Kripke-style valuation system (...)
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  31.  13
    Adolescents’ Developing Sensitivity to Orthographic and Semantic Cues During Visual Search for Words.Nicolas Vibert, Jason L. G. Braasch, Daniel Darles, Anna Potocki, Christine Ros, Nematollah Jaafari & Jean-François Rouet - 2019 - Frontiers in Psychology 10.
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  32.  9
    Towards the Semantic Web: Ontology-driven Knowledge Management.John Davies, Dieter Fensel & Frank van Harmelen - 2003 - Wiley.
    With the current changes driven by the expansion of the World Wide Web, this book uses a different approach from other books on the market: it applies ontologies to electronically available information to improve the quality of knowledge management in large and distributed organizations. Ontologies are formal theories supporting knowledge sharing and reuse. They can be used to explicitly represent semantics of semi-structured information. These enable sophisticated automatic support for acquiring, maintaining and accessing information. Methodology and tools are developed for (...)
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  33.  10
    The search for mind: a new foundation for cognitive science.Seán Ó Nualláin - 1995 - Portland, OR: Intellect.
    Machine generated contents note: Part 1 - The Constituent Disciplines of Cognitive Science -- Philosophical Epistemology -- Glossary -- 1.0 What is Philosophical Epistemology? -- 1.1 The reduced history of Philosophy Part I - The Classical Age -- 1.2 Mind and World - The problem of objectivity -- 1.3 The reduced history of Philosophy Part II - The twentieth century -- 1.4 The philosophy of Cognitive Science -- 1.5 Mind in Philosophy: summary -- 1.6 The Nolanian Framework (so far) -- (...)
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  34.  55
    Answering machines: how to (epistemically) evaluate a search engine.Jessie Munton - forthcoming - Inquiry: An Interdisciplinary Journal of Philosophy.
    We commonly evaluate search engines and the results they return, but what grounds those evaluations? One straightforward way of evaluating search engines appeals to their ability to satisfy the goals of the user. Are there, in addition, user-independent norms, that allow us to evaluate search engines in ways that may come apart from their ability to satisfy the individuals who use them? One way of grounding such norms appeals to moral or political considerations. I argue that in (...)
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  35.  2
    In search of (non)sense.Elżbieta Chrzanowska-Kluczewska & Grzegorz Szpila (eds.) - 2009 - Newcastle upon Tyne, UK: Cambridge Scholars Press.
    [...] it would seem natural to assume that the disciplines of literary studies and linguistics should by rights converge regularly to exchange views as each pursues its own goals. Is such a convergence possible on the question of sense and nonsense? James W. Underhill (this volume) The contributors to the present volume have focused their attention on two sets of problems that are leitmotifs in all the articles gathered. Firstly, should literary semantics - the linguistic study of texts/discourses marked with (...)
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  36.  25
    Semantic focus and sentence comprehension.Anne Cutler & Jerry A. Fodor - 1979 - Cognition 7 (1):49-59.
    Reaction time to detect a phoneme target in a sentence was found to be faster when the word in which the target occurred formed part of the semantic focus of the sentence. Focus was determined by asking a question before the sentence; that part of the sentence which comprised the answer to the sentence was assumed to be focussed. This procedure made it possible to vary position of focus within the sentence while holding all acoustic aspects of the sentence (...)
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  37.  40
    Integrated access to legal literature through automated semantic classification.E. Francesconi & G. Peruginelli - 2009 - Artificial Intelligence and Law 17 (1):31-49.
    Access to legal information and, in particular, to legal literature is examined for the creation of a search and retrieval system for Italian legal literature. The design and implementation of services such as integrated access to a wide range of resources are described, with a particular focus on the importance of exploiting metadata assigned to disparate legal material. The integration of structured repositories and Web documents is the main purpose of the system: it is constructed on the basis of (...)
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  38. The Search for the "Essence of Human Language" in Wittgenstein and Davidson.Jason Bridges - forthcoming - In Claudine Verheggen (ed.), Wittgenstein and Davidson on Language, Thought and Action. cambridge, UK: Cambridge University Press. pp. 139-158.
    This paper offers an interpretation of the later Wittgenstein's handling of the idea of an "essence of human language", and examines in particular his treatment of the 'Augustinean' vision of reference as constituting this "essence". A central theme of the interpretation is the perennial philosophical desire to impose upon linguistic meaning conceptual templates drawn from outside the forms of thought about meaning in which we engage when we exercise our capacity to speak and understand a language. The paper closes with (...)
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  39.  25
    Using corpus methodology for semantic and pragmatic analyses: What can corpora tell us about the linguistic expression of emotions?Ulrike Oster - 2010 - Cognitive Linguistics 21 (4):727-763.
    The aim of this paper is to explore some of the possibilities, advantages and difficulties of corpus-based analyses of semantic and pragmatic aspects of language in one particular field, namely the linguistic expression of emotion concepts. For this purpose, a methodological procedure is proposed and an exemplary analysis of the emotion concept “fear” in English is performed. The procedure combines Kövecses' lexical approach and Stefanowitsch's metaphorical pattern analysis with additional concepts from corpus linguistics such as semantic preference and (...)
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  40.  94
    The search for universal primate gestural meanings.Pritty Patel-Grosz - forthcoming - Proceedings of Sinn Und Bedeutung 27.
    This paper pursues the idea that human and non-human great apes share a common set of directive (imperative) gestures and their meanings. We investigate gestures that are multifunctional, in that they have different effects in different contexts, focusing on non-human ape gestures that communicate “Stop that” in some contexts, and “Move away” in others. What may superficially appear to be lexical ambiguity can be derived from a single abstract lexical entry, “Not X!”, concluded to be a candidate for a universal (...)
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  41.  4
    Communication: general semantics perspectives.Lee Thayer (ed.) - 1970 - New York,: Spartan Books.
    Based on the Eleventh International Conference on General Semantics--"A search for relevance, 1968".
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  42.  14
    Comparing linguistic and cultural explanations for visual search strategies.Brent Wolter, Chi Yui Leung, Shaoxin Wang, Shifa Chen & Junko Yamashita - 2022 - Cognitive Linguistics 33 (4):623-657.
    Visual search studies have shown that East Asians rely more on information gathered through their extrafoveal (i.e., peripheral) vision than do Western Caucasians, who tend to rely more on information gathered using their foveal (i.e., central) vision. However, the reasons for this remain unclear. Cognitive linguists suggest that the difference is attributable linguistic variation, while cultural psychologists contend it is due to cultural factors. The current study used eye-tracking data collected during a visual search task to compare these (...)
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  43.  50
    Cut-elimination and proof-search for bi-intuitionistic logic using nested sequents.Rajeev Goré, Linda Postniece & Alwen Tiu - 1998 - In Marcus Kracht, Maarten de Rijke, Heinrich Wansing & Michael Zakharyaschev (eds.), Advances in Modal Logic. CSLI Publications. pp. 43-66.
    We propose a new sequent calculus for bi intuitionistic logic which sits somewhere between display calculi and traditional sequent calculi by using nested sequents. Our calculus enjoys a simple (purely syntactic) cut elimination proof as do display calculi. But it has an easily derivable variant calculus which is amenable to automated proof search as are (some) traditional sequent calculi. We first present the initial calculus and its cut elimination proof. We then present the derived calculus, and then present a (...)
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  44. In search of intended meaning: investigating Barwise's equation $C_R(S, c) = P$.Varol Akman - 2003 - Barwise and Situation Semantics, a Workshop Co-Located with CONTEXT 2003 Conference, Stanford, CA.
    Here, S is a sentence—or possibly a smaller or larger unit of meaningful expression for a language—that's written by an author and c is the circumstance in which S is used. R is defined as the language conventions holding between an author and a reader (or better yet, his readership). P, probably the most important part of the equation, is the content of S or, the intended meaning of the author. We assume that the communication between an author and a (...)
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  45.  8
    Synthetic Network and Search Filter Algorithm in English Oral Duplicate Correction Map.Xiaojun Chen - 2021 - Complexity 2021:1-12.
    Combining the communicative language competence model and the perspective of multimodal research, this research proposes a research framework for oral communicative competence under the multimodal perspective. This not only truly reflects the language communicative competence but also fully embodies the various contents required for assessment in the basic attributes of spoken language. Aiming at the feature sparseness of the user evaluation matrix, this paper proposes a feature weight assignment algorithm based on the English spoken category keyword dictionary and user (...) records. The algorithm is mainly based on the self-built English oral category classification dictionary and converts the user’s query vector into a user-English-speaking type vector. Through the calculation rules proposed in this paper, the target user’s preference score for a specific type of spoken English is obtained, and this score is assigned to the unrated item of the original user’s feature matrix as the initial starting score. At the same time, in order to solve the problem of insufficient user similarity calculation accuracy, a user similarity calculation algorithm based on “Synonyms Cilin Extended Edition” and search records is proposed. The algorithm introduces “Synonyms Cilin” to calculate the correlation between the semantic items, vocabulary, and query vector in the user query record to obtain the similarity between users and finally gives a user similarity calculation that integrates user ratings and query vectors method. For the task of Chinese grammar error correction, this article uses two methods of predicting the relationship between words in the corpus, Word2Vec and GloVe, to train the word vectors of different dimensions and use the word vectors to represent the text features of the experimental samples, avoiding sentences brought by word segmentation. On the basis of word vectors, the advantages and disadvantages of CNN, LSTM, and SVM models in this shared task are analyzed through experimental data. The comparative experiment shows that the method in this paper has achieved relatively good results. (shrink)
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  46.  17
    Definite Formulae, Negation-as-Failure, and the Base-Extension Semantics of Intuitionistic Propositional Logic.Alexander V. Gheorghiu & David J. Pym - 2023 - Bulletin of the Section of Logic 52 (2):239-266.
    Proof-theoretic semantics (P-tS) is the paradigm of semantics in which meaning in logic is based on proof (as opposed to truth). A particular instance of P-tS for intuitionistic propositional logic (IPL) is its base-extension semantics (B-eS). This semantics is given by a relation called support, explaining the meaning of the logical constants, which is parameterized by systems of rules called bases that provide the semantics of atomic propositions. In this paper, we interpret bases as collections of definite formulae and use (...)
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  47.  27
    The Role of Semantic Clustering in Optimal Memory Foraging.Priscilla Montez, Graham Thompson & Christopher T. Kello - 2015 - Cognitive Science 39 (8):1925-1939.
    Recent studies of semantic memory have investigated two theories of optimal search adopted from the animal foraging literature: Lévy flights and marginal value theorem. Each theory makes different simplifying assumptions and addresses different findings in search behaviors. In this study, an experiment is conducted to test whether clustering in semantic memory may play a role in evidence for both theories. Labeled magnets and a whiteboard were used to elicit spatial representations of semantic knowledge about animals. (...)
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  48.  36
    Spatial Subsystem of Moral Metaphors: A Cognitive Semantic Study.Ning Yu, Tianfang Wang & Yingliang He - 2016 - Metaphor and Symbol 31 (4):195-211.
    Cognitive semantic studies have shown that our conceptualization of morality is at least partially metaphorical and that our moral cognition is grounded in some fundamental contrastive categories of our embodied experience in the physical environment. It is argued that our moral cognition is built on a moral metaphor system. Within the framework of conceptual metaphor theory, this study aims to examine the spatial subsystem of moral metaphors in English. We set out with five pairs of moral metaphors that involve (...)
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  49.  19
    Pym David J. and Ritter Eike. Reductive logic and proof-search—Proof theory, semantics, and control. Oxford Logic Guides, vol. 45. Oxford Science Publications, 2004, 208 pp. [REVIEW]Didier Galmiche - 2006 - Bulletin of Symbolic Logic 12 (2):302-304.
  50. Expressiveness and Complexity in Underspecified Semantics.Chris Fox & Shalom Lappin - 2010 - Linguistic Analysis 36:385--417.
    In this paper we address an important issue in the development of an adequate formal theory of underspecified semantics. The tension between expressive power and computational tractability poses an acute problem for any such theory. Generating the full set of resolved scope readings from an underspecified representation produces a combinatorial explosion that undermines the efficiency of these representations. Moreover, Ebert (2005) shows that most current theories of underspecified semantic representation suffer from expressive incompleteness. In previous work we present an (...)
     
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