Results 71 to 80 of about 5,552 (299)
CTP Ontology: A Semantic Model for Structuring Cultural Thematic Paths
Journal of the Association for Information Science and Technology, EarlyView.Abstract A thematic path enhances the appreciation of cultural heritage by connecting diverse cultural objects through shared themes. This study introduces the Cultural Thematic Path (CTP) Ontology, designed to support the creation, organization, description, publication, and management of thematic paths within the GLAM (Galleries, Libraries, Archives,
Tiziana Pasciuto +2 more
wiley +1 more source
Parser lexicalisation through self-learning
, 2014 We describe a new self-learning framework for parser lexicalisation that requires only a plain-text corpus of in-domain text. The method first creates augmented versions of dependency graphs by applying a series of modifications designed to directly capture higherorder lexical path dependencies.
Rei, M, Briscoe, T
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Autism Research, EarlyView.ABSTRACT There is a critical need to understand the early vocabulary of young children with autism who have limited language, defined in this study as producing fewer than 20 different spontaneous and functional spoken or augmented words, to better inform educational targets and vocabulary selection for spoken as well as augmentative and alternative ...
Eunji Kong +7 more
wiley +1 more source
Co się ukrywa za nazwami emocji?
Poznańskie Studia Slawistyczne, 2015 The article is devoted to the semantic motivations of the names of feelings. Its aim is to prove that when one researches semantic motivations one discovers the original associations connected with referents, in this case, feelings.
Mariola Jakubowicz
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Autism Research, EarlyView.ABSTRACT Autism spectrum disorder (ASD) is a neurodevelopmental condition characterized by persistent differences in social communication and interaction, as well as restricted and repetitive patterns of behavior, interests, or activities. Language difficulties are common in autism and can affect multiple domains, including phonology, morphology ...
Dilber Kaçar Kütükçü +2 more
wiley +1 more source
Natural Language Generation enhances human decision-making with uncertain information
, 2016 Decision-making is often dependent on uncertain data, e.g. data associated with confidence scores or probabilities. We present a comparison of different information presentations for uncertain data and, for the first time, measure their effects on human ...
Gkatzia, Dimitra +2 more
core +1 more source
Autism Research, EarlyView.ABSTRACT A recent “hierarchical” reinterpretation of the neurological basis of autism suggests that in autism with early language delay, perceptual processing may be favored over the integration of transmodal information. This model is largely based on neuroimaging findings relating to visual processing, but predicts a corresponding reorganization in ...
Luodi Yu +3 more
wiley +1 more source
Rosewater, wheel of fortune: Compounding and lexicalisation in seventeenth-century scientific texts
NJES: Nordic Journal of English studies, 2011 This paper investigates the question of compounding as a productive word-formation process in Scientific English by exploring the concepts of collocation and lexicalisation.
Begoña Crespo
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Automatic acquisition of Spanish LFG resources from the Cast3LB treebank [PDF]
, 2005 In this paper, we describe the automatic annotation of the Cast3LB Treebank with LFG f-structures for the subsequent extraction of Spanish probabilistic grammar and lexical resources. We adapt the approach and methodology of Cahill et al.
Cahill, Aoife +3 more
core
Three generative, lexicalised models for statistical parsing [PDF]
Proceedings of the eighth conference on European chapter of the Association for Computational Linguistics -, 1997 In this paper we first propose a new statistical parsing model, which is a generative model of lexicalised context-free grammar. We then extend the model to include a probabilistic treatment of both subcategorisation and wh-movement. Results on Wall Street Journal text show that the parser performs at 88.1/87.5% constituent precision/recall, an average
openaire +3 more sources