Results 21 to 30 of about 526,193 (325)
Applied Sciences, 2022 The main purpose of the joint entity and relation extraction is to extract entities from unstructured texts and extract the relation between labeled entities at the same time. At present, most existing joint entity and relation extraction networks ignore
Huiyan Wu, Jun Huang
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Visual re-ranking with natural language understanding for text spotting [PDF]
, 2018 The final publication is available at link.springer.comMany scene text recognition approaches are based on purely visual information and ignore the semantic relation between scene and text.
Moreno-Noguer, Francesc +2 more
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Relation Extraction Based on Multidimensional Semantic Mapping [PDF]
Jisuanji kexue, 2022 Relation extraction aims to identify relation types between entities from texts.In the field of relation extraction,most of existing methods use deep learning methods,but they do not have in-depth discussion of word vectors in the input layer.To further ...
CHENG Hua-ling, CHEN Yan-ping, YANG Wei-zhe, QIN Yong-bin, HUANG Rui-zhang
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Analogical priming via semantic relations [PDF]
Memory & Cognition, 2001 Research on semantic memory has often tacitly treated semantic relations as simple conduits for spreading activation between associated object concepts, rather than as integral components of semantic organization. Yet conceptual relations, and the role bindings they impose on the objects they relate, are central to such cognitive tasks as discourse ...
B A, Spellman +2 more
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A Relation-Based Page Rank Algorithm for Semantic Web Search Engines [PDF]
, 2009 With the tremendous growth of information available to end users through the Web, search engines come to play ever a more critical role. Nevertheless, because of their general-purpose approach, it is always less uncommon that obtained result sets provide
Demartini, Claudio Giovanni +2 more
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GRAMMATICAL COHESION IN STUDENTS' WRITING: A CASE AT UNIVERSITAS TEKNOKRAT INDONESIA
Leksema: Jurnal Bahasa dan Sastra, 2017 This research aims at investigating the type of cohesive devices in students’ writing as a part of discourse analysis. Thus, it explores sentence correlation and meaning as a whole discourse and figures out inappropriate use of the devices.This research ...
Afrianto Afrianto
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Similarity of Semantic Relations [PDF]
Computational Linguistics, 2006 There are at least two kinds of similarity. Relational similarity is correspondence between relations, in contrast with attributional similarity, which is correspondence between attributes. When two words have a high degree of attributional similarity, we call them synonyms.
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Co-induction in relational semantics [PDF]
Theoretical Computer Science, 1991 The purpose of this paper is to present the use of non-well-founded sets in the study of programming languages semantics. The authors show how co- induction may be used for proving properties of non-well-founded sets (objects), in a similar way how induction is used for classical well- founded sets.
Milner, Robin, Tofte, Mads
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Hemispheric specialization in selective attention and short-term memory: a fine-coarse model of left- and right-ear disadvantages. [PDF]
, 2013 Serial short-term memory is impaired by irrelevant sound, particularly when the sound changes acoustically. This acoustic effect is larger when the sound is presented to the left compared to the right ear (a left-ear disadvantage).
John E. Marsh +4 more
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N400-like potentials and reaction times index semantic relations between highly repeated individual words [PDF]
, 2009 The N400 ERP is an electrophysiological index of semantic processing. Its amplitude varies with the semantic category of words, their concreteness, or whether their meaning matches that of a preceding context.
Debruille, J. Bruno, Renoult, Louis
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