[PDF] Top 20 Image Pivoting for Learning Multilingual Multimodal Representations
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Image Pivoting for Learning Multilingual Multimodal Representations
... text-based image retrieval, im- age description and visual question ...large image descrip- tion datasets has become available (Hodosh et ...the image description task as a generation problem ... See full document
7
Learning Multilingual Word Embeddings Using Image Text Data
... in learning multilingual word embeddings – in which semantically similar words across lan- guages have similar ...of multilingual embeddings learned from weakly-supervised image-text ...for ... See full document
10
Bridge Correlational Neural Networks for Multilingual Multimodal Representation Learning
... We evaluate our approach using two downstream applications. First, we employ our model to facil- itate transfer learning between multiple languages using English as the pivot language. For this, we do an extensive ... See full document
11
Learning Joint Multilingual Sentence Representations with Neural Machine Translation
... universal multilingual and -modal representation (see illustration in Figure ...on representations of fixed-size, independently of the length of the input (and output) ...learn multilingual sentence ... See full document
11
Investigating Multilingual NMT Representations at Scale
... the learning dynamics of different classes in an image classifier, to the best of our knowledge, we are the first to apply SVCCA to a multilin- gual NMT or multitask ... See full document
11
Findings of the Second Shared Task on Multimodal Machine Translation and Multilingual Image Description
... titask learning framework: a) produce the target sentence, and b) predict the visual feature vector of the corresponding ...an image as- sociated with a source language ...the image object classes as ... See full document
19
Learning Translations via Images with a Massively Multilingual Image Dataset
... Google Image Search to collect 100 images as- sociated with the ...Google Image Search is that it may be using a bilingual dictionary to translate queries into En- glish (or other high resource languages) ... See full document
11
Multimodal Frame Identification with Multilingual Evaluation
... textual representations only, we hypothesize that FrameId can profit from a richer understanding of the situational con- ...tual representations are still competitive with multimodal ...our ... See full document
11
Foreign Language Classroom: Multilingual and Multimodal Space?
... to learning and pedagogy, with the main focus on two “multi” - the notion of multimodality and the notion of multilingualism ...for learning were elaborated by British social semiotician Gunther ...the ... See full document
5
Multi Head Attention with Diversity for Learning Grounded Multilingual Multimodal Representations
... 2019b) leverage triplet ranking losses to align En- glish sentences and images in the joint embedding space. In VSE++ (Faghri et al., 2018), Faghri et al. improve VSE by emphasizing hard negative samples. Recent ... See full document
7
Using Sparse Semantic Embeddings Learned from Multimodal Text and Image Data to Model Human Conceptual Knowledge
... than five concepts (across the set of concepts ap- pearing in both the CSLB norms and our embed- ding models) were removed, to ensure sufficient positive and negative training cases across con- cepts. To evaluate the ... See full document
11
Exploring Multilingual Syntactic Sentence Representations
... In this work, we study methods that learn sentence-level embeddings that explicitly capture syntactic information. We focus on variations of sequence-to-sequence models (Sutskever et al., 2014), trained using a ... See full document
7
NESPOLE!’s Multilingual and Multimodal Corpus
... that multimodal interaction occurs more frequently in case of spatial location commands (Oviatt et ...designed multimodal systems can integrate complementary modalities in a manner that supports significant ... See full document
6
Mental sampling in multimodal representations
... produces the long-range slowly-decaying temporal correlations of 1/f scaling. This long-range dependence rules out any sampling algorithm that draws independent samples from the posterior distribution, such as DS, since ... See full document
11
Cross-Modal Multistep Fusion Network with Co-Attention for Visual Question Answering
... and multimodal language modeling [39], this method has been a research that focus on VQA task to get bilinear interactions for deep feature ...of learning parameters, these are numerous improved bilinear ... See full document
9
Conversing with the elderly in Latin America: a new cohort for multimodal, multilingual longitudinal studies on aging
... longitudinal, multilingual and multimodal at- tributes of our collection, as well as the registra- tion and follow up of the medical treatments taken by the participants and their demographic infor- mation, ... See full document
6
Glossa: a Multilingual, Multimodal, Configurable User Interface
... We describe a web-based corpus query system, Glossa, which combines the expressiveness of regular query languages with the user-friendliness of a graphical interface. Since corpus users are usually linguists with little ... See full document
6
Deep neural model with enhanced embeddings for pharmaceutical and chemical entities recognition in Spanish clinical text
... Deep Learning architecture for pharmaceutical and chemical Named Entity Recognition in Spanish clini- cal cases ...deep learning methods with specific domain embedding rep- resentations can outperform the ... See full document
9
Probing Multilingual Sentence Representations With X Probe
... sentence representations was encouraged by the release of the SentEval toolkit (Conneau and Kiela, 2018), which pro- vided an easy-to-use framework that sentence rep- resentations could be ‘plugged’ into, for ... See full document
13
Multilingual, Multi scale and Multi layer Visualization of Intermediate Representations
... layer representations in sequence-based architectures can be difficult to ...ing multilingual intermediate representations for sentences and tokens and the evolution of these intermediate ... See full document
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