Results for ' named entity recognition, automatic OCR correction, filtering OCR results, spaCy, JamSpell'

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  1. Quelle solution pour améliorer les performances de la reconnaissance d’entités nommées sur des données bruitées, corriger l’entrée ou filtrer la sortie?Ljudmila Koudoro-Parfait Petkovic - 2025 - Corpus 26 (26).
    This paper presents the results of a research work that aims to determine whether the upstream OCR correction can significantly improve the results of the Named Entity Recognition (NER) task. The experiments were applied to the ELTeC and Very Big Library (TGB) corpora. Our objective is to establish (i) a typology of OCR contaminations from the Kraken and Tesseract tools and (ii) a typology of errors in the automatic correction produced by the JamSpell tool. As part (...)
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  2.  23
    A System For Identifying Named Entities in Biomedical Text: How Results From Two Evaluations Reflect on Both the System and the Evaluations.Christopher Manning - unknown
    We present a maximum-entropy based system for identifying Named Entities (NEs) in biomedical abstracts and present its performance in the only two biomedical Named Entity Recognition (NER) comparative evaluations that have been held to date, namely BioCreative and Coling BioNLP. Our system obtained an exact match f-score of 83.2% in the BioCreative evaluation and 70.1% in the BioNLP evaluation. We discuss our system in detail including its rich use of local features, attention to correct boundary identification, innovative (...)
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  3.  30
    MAF-CNER : A Chinese Named Entity Recognition Model Based on Multifeature Adaptive Fusion.Xuming Han, Feng Zhou, Zhiyuan Hao, Qiaoming Liu, Yong Li & Qi Qin - 2021 - Complexity 2021:1-9.
    Named entity recognition is a subtask in natural language processing, and its accuracy greatly affects the effectiveness of downstream tasks. Aiming at the problem of insufficient expression of potential Chinese features in named entity recognition tasks, this paper proposes a multifeature adaptive fusion Chinese named entity recognition model. The model uses bidirectional long short-term memory neural network to extract stroke and radical features and adopts a weighted concatenation method to fuse two sets of features (...)
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  4.  33
    Boosting court judgment prediction and explanation using legal entities.Irene Benedetto, Alkis Koudounas, Lorenzo Vaiani, Eliana Pastor, Luca Cagliero, Francesco Tarasconi & Elena Baralis - forthcoming - Artificial Intelligence and Law:1-36.
    The automatic prediction of court case judgments using Deep Learning and Natural Language Processing is challenged by the variety of norms and regulations, the inherent complexity of the forensic language, and the length of legal judgments. Although state-of-the-art transformer-based architectures and Large Language Models (LLMs) are pre-trained on large-scale datasets, the underlying model reasoning is not transparent to the legal expert. This paper jointly addresses court judgment prediction and explanation by not only predicting the judgment but also providing legal (...)
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  5. Nested Named Entity Recognition.Christopher D. Manning - unknown
    Many named entities contain other named entities inside them. Despite this fact, the field of named entity recognition has almost entirely ignored nested named entity recognition, but due to technological, rather than ideological reasons. In this paper, we present a new technique for recognizing nested named entities, by using a discriminative constituency parser. To train the model, we transform each sentence into a tree, with constituents for each named entity (and no (...)
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  6.  27
    Combining prompt-based language models and weak supervision for labeling named entity recognition on legal documents.Vitor Oliveira, Gabriel Nogueira, Thiago Faleiros & Ricardo Marcacini - forthcoming - Artificial Intelligence and Law:1-21.
    Named entity recognition (NER) is a very relevant task for text information retrieval in natural language processing (NLP) problems. Most recent state-of-the-art NER methods require humans to annotate and provide useful data for model training. However, using human power to identify, circumscribe and label entities manually can be very expensive in terms of time, money, and effort. This paper investigates the use of prompt-based language models (OpenAI’s GPT-3) and weak supervision in the legal domain. We apply both strategies (...)
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  7.  12
    Enhancing Semantic Searching of Legal Documents Through LSTM-Based Named Entity Recognition and Semantic Classification.Varsha Naik, Rajeswari K. & Purvang Patel - 2024 - International Journal for the Semiotics of Law - Revue Internationale de Sémiotique Juridique 37 (7):2113-2130.
    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”. (...)
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  8.  18
    Temporal Concept Drift and Alignment: An Empirical Approach to Comparing Knowledge Organization Systems Over Time.Jane Greenberg, Peter Melville Logan and & Sam Grabus - 2022 - Knowledge Organization 49 (2):69-78.
    This research explores temporal concept drift and temporal alignment in knowledge organization systems. A comparative analysis is pursued using the 1910 Library of Congress Subject Headings, 2020 FAST Topical, and automatic indexing. The use case involves a sample of 90 nineteenth-century Encyclopedia Britannica entries. The entries were indexed using two approaches: 1) full-text indexing; 2) Named Entity Recognition was performed upon the entries with Stanza, Stanford’s NLP toolkit, and entities were automatically indexed with the Helping Interdisciplinary Vocabulary (...)
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  9.  63
    A BERT-BiGRU-CRF Model for Entity Recognition of Chinese Electronic Medical Records.Qiuli Qin, Shuang Zhao & Chunmei Liu - 2021 - Complexity 2021:1-11.
    Because of difficulty processing the electronic medical record data of patients with cerebrovascular disease, there is little mature recognition technology capable of identifying the named entity of cerebrovascular disease. Excellent research results have been achieved in the field of named entity recognition, but there are several problems in the pre processing of Chinese named entities that have multiple meanings, of which neglecting the combination of contextual information is one. Therefore, to extract five categories of key (...)
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  10. ‘Holmes’and Holmes-A Millian Analysis of Names from Fiction.Stefano Predelli - 2002 - Dialectica 56 (3):261–279.
    In this paper, I defend a view of names from fiction compatible with the Millian theory of proper names. Unlike other attempts at providing a Millian analysis of names from fiction, my approach gives semantic recognition to our pre‐theoretic intuitions without postulating metaphysically dubious entities. The intuitively correct treatment of typical examples, including true negative existential statements, is obtained by appealing only to independently motivated results in the semantics for natural languages.
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  11.  32
    Named Entity Recognition with Character-Level Models.Dan Klein - unknown
    We discuss two named-entity recognition models which use characters and character n-grams either exclusively or as an important part of their data representation. The first model is a character-level HMM with minimal context information, and the second model is a maximum-entropy conditional markov model with substantially richer context features. Our best model achieves an overall F1 of 86.07% on the English test data (92.31% on the development data). This number represents a 25% error reduction over the same model (...)
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  12.  19
    Multiscale Feature Filtering Network for Image Recognition System in Unmanned Aerial Vehicle.Xianghua Ma, Zhenkun Yang & Shining Chen - 2021 - Complexity 2021:1-11.
    For unmanned aerial vehicle, object detection at different scales is an important component for the visual recognition. Recent advances in convolutional neural networks have demonstrated that attention mechanism remarkably enhances multiscale representation of CNNs. However, most existing multiscale feature representation methods simply employ several attention blocks in the attention mechanism to adaptively recalibrate the feature response, which overlooks the context information at a multiscale level. To solve this problem, a multiscale feature filtering network is proposed in this paper for (...)
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  13.  20
    A Chinese Named Entity Recognition Model of Maintenance Records for Power Primary Equipment Based on Progressive Multitype Feature Fusion.Lanfei He, Xuefei Zhang, Zhiwei Li, Peng Xiao, Ziming Wei, Xu Cheng & Shaocheng Qu - 2022 - Complexity 2022:1-11.
    Presently, the State Grid Corporation of China has accumulated a large amount of maintenance records for power primary equipment. Unfortunately, most of these records are unstructured data which lead to difficultly analyze and utilize them. The emergence of natural language processing technology and deep learning methods provide a solution for unstructured text data. This paper proposes a progressive multitype feature fusion model to recognize Chinese named entity of unstructured maintenance records for power primary equipment. Firstly, the textual characteristics (...)
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  14.  46
    ABioNER: A BERT-Based Model for Arabic Biomedical Named-Entity Recognition.Nada Boudjellal, Huaping Zhang, Asif Khan, Arshad Ahmad, Rashid Naseem, Jianyun Shang & Lin Dai - 2021 - Complexity 2021:1-6.
    The web is being loaded daily with a huge volume of data, mainly unstructured textual data, which increases the need for information extraction and NLP systems significantly. Named-entity recognition task is a key step towards efficiently understanding text data and saving time and effort. Being a widely used language globally, English is taking over most of the research conducted in this field, especially in the biomedical domain. Unlike other languages, Arabic suffers from lack of resources. This work presents (...)
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  15.  8
    Learning multilingual named entity recognition from Wikipedia.Joel Nothman, Nicky Ringland, Will Radford, Tara Murphy & James R. Curran - 2013 - Artificial Intelligence 194:151-175.
  16.  15
    Robust multilingual Named Entity Recognition with shallow semi-supervised features.Rodrigo Agerri & German Rigau - 2016 - Artificial Intelligence 238 (C):63-82.
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  17.  23
    Benchmark Pashto Handwritten Character Dataset and Pashto Object Character Recognition (OCR) Using Deep Neural Network with Rule Activation Function.Imran Uddin, Dzati A. Ramli, Abdullah Khan, Javed Iqbal Bangash, Nosheen Fayyaz, Asfandyar Khan & Mahwish Kundi - 2021 - Complexity 2021:1-16.
    In the area of machine learning, different techniques are used to train machines and perform different tasks like computer vision, data analysis, natural language processing, and speech recognition. Computer vision is one of the main branches where machine learning and deep learning techniques are being applied. Optical character recognition is the ability of a machine to recognize the character of a language. Pashto is one of the most ancient and historical languages of the world, spoken in Afghanistan and Pakistan. OCR (...)
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  18.  40
    An Effective Two-Stage Model for Exploiting Non-Local Dependencies in Named Entity Recognition.Christopher D. Manning - unknown
    This paper shows that a simple two-stage approach to handle non-local dependencies in Named Entity Recognition (NER) can outperform existing approaches that handle non-local dependencies, while being much more computationally efficient. NER systems typically use sequence models for tractable inference, but this makes them unable to capture the long distance structure present in text. We use a Conbel.
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  19.  18
    Improving the Assessment of Mild Cognitive Impairment in Advanced Age With a Novel Multi-Feature Automated Speech and Language Analysis of Verbal Fluency.Liu Chen, Meysam Asgari, Robert Gale, Katherine Wild, Hiroko Dodge & Jeffrey Kaye - 2020 - Frontiers in Psychology 11:494917.
    _Introduction:_ Clinically relevant information can go uncaptured in the conventional scoring of a verbal fluency test. We hypothesize that characterizing the temporal aspects of the response through a set of time related measures will be useful in distinguishing those with MCI from cognitively intact controls. _Methods:_ Audio recordings of an animal fluency test administered to 70 demographically matched older adults (mean age 90.4 years), 28 with mild cognitive impairment (MCI) and 42 cognitively intact (CI) were professionally transcribed and fed into (...)
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  20.  13
    Entity Linking Based on Sentence Representation.Bingjing Jia, Zhongli Wu, Pengpeng Zhou & Bin Wu - 2021 - Complexity 2021:1-9.
    Entity linking involves mapping ambiguous mentions in documents to the correct entities in a given knowledge base. Most existing methods failed to link when a mention appears multiple times in a document, since the conflict of its contexts in different locations may lead to difficult linking. Sentence representation, which has been studied based on deep learning approaches recently, can be used to resolve the above issue. In this paper, an effective entity linking model is proposed to capture the (...)
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  21. The Method of In-between in the Grotesque and the Works of Leif Lage.Henrik Lübker - 2012 - Continent 2 (3):170-181.
    “Artworks are not being but a process of becoming” —Theodor W. Adorno, Aesthetic Theory In the everyday use of the concept, saying that something is grotesque rarely implies anything other than saying that something is a bit outside of the normal structure of language or meaning – that something is a peculiarity. But in its historical use the concept has often had more far reaching connotations. In different phases of history the grotesque has manifested its forms as a means of (...)
     
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  22. Beyond avatars and arrows: Testing the mentalizing and submentalizing hypotheses with a novel entity paradigm.Evan Westra, Brandon F. Terrizzi, Simon T. van Baal, Jonathan S. Beier & John Michael - forthcoming - Quarterly Journal of Experimental Psychology.
    In recent years, there has been a heated debate about how to interpret findings that seem to show that humans rapidly and automatically calculate the visual perspectives of others. In the current study, we investigated the question of whether automatic interference effects found in the dot-perspective task (Samson, Apperly, Braithwaite, Andrews, & Bodley Scott, 2010) are the product of domain-specific perspective-taking processes or of domain-general “submentalizing” processes (Heyes, 2014). Previous attempts to address this question have done so by implementing (...)
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  23. The Gravity of Pure Forces.Nico Jenkins - 2011 - Continent 1 (1):60-67.
    continent. 1.1 (2011): 60-67. At the beginning of Martin Heidegger’s lecture “Time and Being,” presented to the University of Freiburg in 1962, he cautions against, it would seem, the requirement that philosophy make sense, or be necessarily responsible (Stambaugh, 1972). At that time Heidegger's project focused on thinking as thinking and in order to elucidate his ideas he drew comparisons between his project and two paintings by Paul Klee as well with a poem by Georg Trakl. In front of Klee's (...)
     
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  24.  53
    English Grammar Error Correction Algorithm Based on Classification Model.Shanchun Zhou & Wei Liu - 2021 - Complexity 2021:1-11.
    English grammar error correction algorithm refers to the use of computer programming technology to automatically recognize and correct the grammar errors contained in English text written by nonnative language learners. Classification model is the core of machine learning and data mining, which can be applied to extracting information from English text data and constructing a reliable grammar correction method. On the basis of summarizing and analyzing previous research works, this paper expounded the research status and significance of English grammar error (...)
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  25.  16
    LASSO-Based Pattern Recognition for Replenished Items With Graded Responses in Multidimensional Computerized Adaptive Testing.Jianan Sun, Ziwen Ye, Lu Ren & Jingwen Li - 2022 - Frontiers in Psychology 13.
    As a branch of statistical latent variable modeling, multidimensional item response theory plays an important role in psychometrics. Multidimensional graded response model is a key model for the development of multidimensional computerized adaptive testing with graded-response data and multiple traits. This paper explores how to automatically identify the item-trait patterns of replenished items based on the MGRM in MCAT. The problem is solved by developing an exploratory pattern recognition method for graded-response items based on the least absolute shrinkage and selection (...)
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  26.  18
    A faster and less aggressive algorithm for correcting conservativity violations in ontology alignments.Cauã Roca Antunes, Alexandre Rademaker & Mara Abel - 2021 - Applied ontology 16 (3):277-296.
    Ontologies are computational artifacts that model consensual aspects of reality. In distributed contexts, applications often need to utilize information from several distinct ontologies. In order to integrate multiple ontologies, entities modeled in each ontology must be matched through an ontology alignment. However, imperfect alignments may introduce inconsistencies. One kind of inconsistency, which is often introduced, is the violation of the conservativity principle, that states that the alignment should not introduce new subsumption relations between entities from the same source ontology. We (...)
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  27.  10
    Exploiting Context for Biomedical Entity Recognition: From Syntax to the Web.Christopher Manning - unknown
    We describe a machine learning system for the recognition of names in biomedical texts. The system makes extensive use of local and syntactic features within the text, as well as external resources including the web and gazetteers. It achieves an F- score of 70% on the Coling 2004 NLPBA/BioNLP shared task of identifying five biomedical named entities in the GENIA corpus.
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  28.  13
    Dichotic spectral integration range for consonant recognition in listeners with normal hearing.Yang-Soo Yoon & Dani Morgan - 2022 - Frontiers in Psychology 13.
    Dichotic spectral integration range, or DSIR, was measured for consonant recognition with normal-hearing listeners. DSIR is defined as a frequency range needed from 0 to 8,000 Hz band in one ear for consonant recognition when low-frequency information of the same consonant was presented to the opposite ear. DSIR was measured under the three signal processing conditions: unprocessed, target: intensified target spectro-temporal regions by 6 dB responsible for consonant recognition, and target minus conflicting: intensified target regions minus spectro-temporal regions that increase (...)
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  29.  6
    Business Brand Research Based on Multi-Feature Fusion Emotion Analysis.Boxuan Li - 2022 - Frontiers in Psychology 13.
    With the deepening of globalization, brand plays an important role in determining the competitiveness of enterprises. It is worth thinking about how to quantify the brand value reasonably to achieve the purpose of improving the competitiveness of enterprises. The research of commercial brands based on emotion analysis extracts the views of consumers on the evaluation data of brand attributes, analyzes the emotional tendency of consumers' views, and then helps enterprises adjust their production strategies. The purpose of emotion analysis is to (...)
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  30.  33
    Mild Cognitive Impairment: What's in a Name?Steven R. Sabat - 2006 - Philosophy, Psychiatry, and Psychology 13 (1):13-20.
    In lieu of an abstract, here is a brief excerpt of the content:Mild Cognitive Impairment:What's in a Name?Steven R. Sabat (bio)Keywordslabeling, mild cognitive impairment, recall memory, selfhood, stereotype threatCorner and Bond (2006) raise a number of important conceptual issues related to the problems involved in defining mild cognitive impairment (MCI), differentiating it from normal aging, the definition of normal aging itself, and ethical issues surrounding the possible adverse effects of a diagnosis of MCI on the individuals thus described. It would (...)
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  31.  34
    BisNet: Web ブラウザのブックマーク機能を利用した情報共有システム.Sayama Hiroki Sano Koji - 2005 - Transactions of the Japanese Society for Artificial Intelligence 20:281-288.
    We propose a new information sharing system, named ``BisNet'', which automatically gathers information about the bookmarks stored in users' web browsers and helps the users exchange URIs of possibly interesting web pages with others who have similar interest with them. Being different from other typical agent services that gather and provide information according to pre-registered user profiles, BisNet is expected to share more relevant information because of its use of web browser bookmarks that are actively selected and ordered by (...)
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  32. Automatic Decision-Making Style Recognition Method Using Kinect Technology.Yu Guo, Xiaoqian Liu, Xiaoyang Wang, Tingshao Zhu & Wei Zhan - 2022 - Frontiers in Psychology 13.
    In recent years, somatosensory interaction technology, represented by Microsoft’s Kinect hardware platform, has been widely used in various fields, such as entertainment, education, and medicine. Kinect technology can easily capture and record behavioral data, which provides new opportunities for behavioral and psychological correlation analysis research. In this paper, an automatic decision-style recognition method is proposed. Experiments involving 240 subjects were conducted to obtain face data and individual decision-making style score. The face data was obtained using the Kinect camera, and (...)
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  33.  17
    Data Filtering for Automatic Classification of Rocks from Reflectance Spectra.Jonathan Moody, Ricardo Silva, Joseph Vanderwaart & Clark Glymour - unknown
    The ability to identify the mineral composition of rocks and softs is an important tool for the exploration of geological sites. For instance, NASA intends to design robots that are sufficiently autonomous to perform this task on planetary missions. Spectrometer readings provide one important source of data for identifying sites with minerals of interest. Reflectance spectrometers measure intensities of light reflected from surfaces over a range of wavelengths. Spectral intensity patterns may in some cases be sufficiently distinctive for proper identification (...)
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  34.  87
    Using Proper Names as Intermediaries Between Labelled Entity Representations.Hans Kamp - 2015 - Erkenntnis 80 (2):263-312.
    This paper studies the uses of proper names within a communication-theoretic setting, looking at both the conditions that govern the use of a name by a speaker and those involved in the correct interpretation of the name by her audience. The setting in which these conditions are investigated is provided by an extension of Discourse Representation Theory, MSDRT, in which mental states are represented as combinations of propositional attitudes and entity representations . The first half of the paper presents (...)
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  35. The Attending Mind.Jesse Prinz - 2022 - Philosophical Review 131 (3):390-393.
    Over the last decade, attention has crawled from out of the shadows into the philosophical limelight with several important books and widely read articles. Carolyn Dicey Jennings has been a key player in the attention revolution, actively publishing in the area and promoting awareness. This book was much anticipated by insiders and does not disappoint. It is in no way redundant with respect to other recent monographs, covering both a different range of material and developing novel positions throughout. The book (...)
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  36.  31
    How Native Prosody Affects Pitch Processing during Word Learning in Limburgian and Dutch Toddlers and Adults.Stefanie Ramachers, Susanne Brouwer & Paula Fikkert - 2017 - Frontiers in Psychology 8:290015.
    In this study, Limburgian and Dutch 2.5- to 4-year-olds and adults took part in a word learning experiment. Following the procedure employed by Quam and Swingley (2010) and Singh et al. (2014), participants learned two novel word-object mappings. After training, word recognition was tested in correct pronunciation (CP) trials and mispronunciation (MP) trials featuring a pitch change. Since Limburgian is considered a restricted tone language, we expected that the pitch change would hinder word recognition in Limburgian, but not in non-tonal (...)
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  37.  62
    The digital computer as red Herring.Drew McDermott - 2001 - Psycoloquy 12 (54).
    Stevan Harnad correctly perceives a deep problem in computationalism, the hypothesis that cognition is computation, namely, that the symbols manipulated by a computational entity do not automatically mean anything. Perhaps, he proposes, transducers and neural nets will not have this problem. His analysis goes wrong from the start, because computationalism is not as rigid a set of theories as he thinks. Transducers and neural nets are just two kinds of computational system, among many, and any solution to the semantic (...)
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  38.  17
    MyOcrTool: Visualization System for Generating Associative Images of Chinese Characters in Smart Devices.Laxmisha Rai & Hong Li - 2021 - Complexity 2021:1-14.
    Majority of Chinese characters are pictographic characters with strong associative ability and when a character appears for Chinese readers, they usually associate with the objects, or actions related to the character immediately. Having this background, we propose a system to visualize the simplified Chinese characters, so that developing any skills of either reading or writing Chinese characters is not necessary. Considering the extensive use and application of mobile devices, automatic identification of Chinese characters and display of associative images are (...)
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  39.  8
    Automatic recognition method of installation errors of metallurgical machinery parts based on neural network.Bo Zhan & Hailong Cui - 2022 - Journal of Intelligent Systems 31 (1):321-331.
    The installation error of metallurgical machinery parts is one of the common sources of errors in mechanical equipment. Because the installation error of different parts has different influences on different mechanical equipment, a simple linear formula cannot be used to identify the installation error. In the past, the manual recognition method and the touch recognition method lack of error information analysis, which leads to inaccurate recognition results. To improve the problem, an automatic recognition method based on the neural network (...)
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  40. A Philosophical Study Of The Transition From The Caloric Theory Of Heat To Thermodynamics: Resisting the pessimistic meta-induction.Stathis Psillos - 1994 - Studies in History and Philosophy of Science Part A 25 (2):159-190.
    I began this study with Laudan's argument from the pessimistic induction and I promised to show that the caloric theory of heat cannot be used to support the premisses of the meta-induction on past scientific theories. I tried to show that the laws of experimental calorimetry, adiabatic change and Carnot's theory of the motive power of heat were independent of the assumption that heat is a material substance, approximately true, deducible and accounted for within thermodynamics.I stressed that results and were (...)
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  41.  92
    Breve storia dell'etica.Sergio Cremaschi - 2012 - Roma RM, Italia: Carocci.
    The book reconstructs the history of Western ethics. The approach chosen focuses the endless dialectic of moral codes, or different kinds of ethos, moral doctrines that are preached in order to bring about a reform of existing ethos, and ethical theories that have taken shape in the context of controversies about the ethos and moral doctrines as means of justifying or reforming moral doctrines. Such dialectic is what is meant here by the phrase ‘moral traditions’, taken as a name for (...)
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  42.  22
    A novel MRC framework for evidence extracts in judgment documents.Yulin Zhou, Lijuan Liu, Yanping Chen, Ruizhang Huang, Yongbin Qin & Chuan Lin - 2024 - Artificial Intelligence and Law 32 (1):147-163.
    Evidences are important proofs to support judicial trials. Automatically extracting evidences from judgement documents can be used to assess the trial quality and support “Intelligent Court”. Current evidence extraction is primarily depended on sequence labelling models. Despite their success, they can only assign a label to a token, which is difficult to recognize nested evidence entities in judgment documents, where a token may belong to several evidences at the same time. In this paper, we present a novel evidence extraction architecture (...)
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  43.  77
    The Elementary Forms Of The Religious Life: Translated From The French By Joseph Ward Swain, M.A.Emile Durkheim - 2021 - Allen & Unwin.
    The Elementary Forms Of The Religious Life: Translated From The French By Joseph Ward Swain, M.A. This book is a result of an effort made by us towards making a contribution to the preservation and repair of original classic literature. In an attempt to preserve, improve and recreate the original content, we have worked towards: 1. Type-setting & Reformatting: The complete work has been re-designed via professional layout, formatting and type-setting tools to re-create the same edition with rich typography, graphics, (...)
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  44.  53
    Consciousness and cognition may be mediated by multiple independent coherent ensembles.E. Roy John, Paul Easton & Robert Isenhart - 1997 - Consciousness and Cognition 6 (1):3-39.
    Short-term or working memory provides temporary storage of information in the brain after an experience and is associated with conscious awareness. Neurons sensitive to the multiple stimulus attributes comprising an experience are distributed within many brain regions. Such distributed cell assemblies, activated by an event, are the most plausible system to represent the WM of that event. Studies with a variety of imaging technologies have implicated widespread brain regions in the mediation of WM for different categories of information. Each kind (...)
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  45. (1 other version)The Conscious Semiotic Mind.Piotr Konderak - 2017 - Studia Semiotyczne 31 (1):67-89.
    The paper discusses possible roles of consciousness in a semiotic activity of a cognitive agent. The discussion, we claim, is based on two related approaches to consciousness: on Chalmers’ theory of phenomenal and psychological consciousness and on Damasio’s neural theory, which draws a distinction between core and extended consciousness. Two stages of cognitive-semiotic processing are discussed: the moment of perception of a sign as a meaningful entity and the metasemiotic processes understood as the human capacity to reflect on signs (...)
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  46.  14
    Creative unity.Rabindranath Tagore - 1922 - New York,: The Macmillan company.
    Creative Unity This book is a result of an effort made by us towards making a contribution to the preservation and repair of original classic literature. In an attempt to preserve, improve and recreate the original content, we have worked towards: 1. Type-setting & Reformatting: The complete work has been re-designed via professional layout, formatting and type-setting tools to re-create the same edition with rich typography, graphics, high quality images, and table elements, giving our readers the feel of holding a (...)
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  47.  12
    Implicit Associations With Nature and Urban Environments: Effects of Lower-Level Processed Image Properties.Claudia Menzel & Gerhard Reese - 2021 - Frontiers in Psychology 12.
    Nature experiences usually lead to restorative effects, such as positive affective states and reduced stress. Even watching nature compared to urban images, which are known to differ in several image properties that are processed at early stages, can lead to such effects. One potential pathway explaining how the visual input alone evokes restoration is that image properties processed at early stages in the visual system evoke positive associations. To study these automatic bottom-up processes and the role of lower-level visual (...)
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  48.  26
    Strategies Used by Musicians to Identify Notes’ Pitch: Cognitive Bricks and Mental Representations.Alain Letailleur, Erica Bisesi & Pierre Legrain - 2020 - Frontiers in Psychology 11.
    To this day, the study of the substratum of thought and its implied mechanisms is rarely directly addressed. Nowadays, systemic approaches based on introspective methodologies are no longer fashionable and are often overlooked or ignored. Most frequently, reductionist approaches are followed for deciphering the neuronal circuits functionally associated with cognitive processes. However, we argue that systemic studies of individual thought may still contribute to a useful and complementary description of the multimodal nature of perception, because they can take into account (...)
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  49. Yet another attempt to salvage pristine perceptions!Monima Chadha - 2006 - Philosophy East and West 56 (2):333-342.
    In lieu of an abstract, here is a brief excerpt of the content:Yet Another Attempt to Salvage Pristine Perceptions!Monima ChadhaIn a recent debate in this journal, Arindam Chakrabarti (2004) astutely identifies a new problem space that has opened up in the debate on nirvikalpaka perceptions. He indicates that the problem space is a grid arising out of the possible answers to three distinct but interrelated controversies. In this comment I primarily concern myself with the first two of these controversies. It (...)
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  50.  26
    Profile characteristics of fake Twitter accounts.Jeanna N. Matthews, Brian R. Voter, Brian Hudson, Joshua S. White & Supraja Gurajala - 2016 - Big Data and Society 3 (2).
    In online social networks, the audience size commanded by an organization or an individual is a critical measure of that entity’s popularity and this measure has important economic and/or political implications. Such efforts to measure popularity of users or exploit knowledge about their audience are complicated by the presence of fake profiles on these networks. In this study, analysis of 62 million publicly available Twitter user profiles was conducted and a strategy to identify automatically generated fake profiles was established. (...)
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