Results 21 to 30 of about 1,479,226 (281)
Do You See What I Mean? Visual Resolution of Linguistic Ambiguities [PDF]
, 2015 Understanding language goes hand in hand with the ability to integrate complex contextual information obtained via perception. In this work, we present a novel task for grounded language understanding: disambiguating a sentence given a visual scene which
Barbu, Andrei +4 more
core +4 more sources
Making a Difficult Language Skill Easy
Armenian Folia Anglistika, 2016 One of the main reasons why writing is a difficult language skill according to Roger and Robinson is that “the connection between the mind and the verbal system, by which mental processes are made apparent (visible or audible) to oneself and to others ...
Vicky Tchaparian
doaj +1 more source
Semantic and Syntactic Processing During Comprehension: ERP Evidence From Chinese QING Structure
Frontiers in Human Neuroscience, 2021 Previous studies used BA and BEI structures as stimuli to infer that syntax-first models seemed not applicable in Chinese. However, there were inconsistent results of both within same structures and between different structures. Since sentence structures
Siqin Yang +3 more
doaj +1 more source
A Hypothesis in Simplicity for the Mechanism that Generates Equations in the Brain [PDF]
Journal of Interdisciplinary Sciences, 2021 Numbers and equations are a product of the mind. They are not the outside world, but are a model of it because both systems, internal and external, are independently generated according to the same principles, even the same mechanisms. Using arguments,
William L. Abler
doaj
Inovacije u Nastavi, 2020 The aim of the research was to evaluate phonological awareness of the first grade pupils (N = 143) and to determine whether the start of systematic literacy instruction significantly enhanced this ability. The research is of comparative nature and it was
Želimir Ž. Dragić +1 more
doaj
Multimodal Convolutional Neural Networks for Matching Image and Sentence
, 2015 In this paper, we propose multimodal convolutional neural networks (m-CNNs) for matching image and sentence. Our m-CNN provides an end-to-end framework with convolutional architectures to exploit image representation, word composition, and the matching ...
Li, Hang +3 more
core +1 more source
Graph-based Neural Multi-Document Summarization
, 2017 We propose a neural multi-document summarization (MDS) system that incorporates sentence relation graphs. We employ a Graph Convolutional Network (GCN) on the relation graphs, with sentence embeddings obtained from Recurrent Neural Networks as input node
Meelu, Kshitijh +5 more
core +1 more source
La phrase : entité insaisissable au lycée ?
Lidil, 2016 Sentence remains an essential entity in French grammar and it is taught early, but it it must be noted that when they enter high school, it happens that students don’t produce correct sentences.
Béatrice Gerlaud
doaj +1 more source
Exploiting Sentence Embedding for Medical Question Answering
, 2018 Despite the great success of word embedding, sentence embedding remains a not-well-solved problem. In this paper, we present a supervised learning framework to exploit sentence embedding for the medical question answering task.
Hao, Yu, Liu, Xien, Lv, Ping, Wu, Ji
core +1 more source