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All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year Sort by creator [A → Z]' creator [Z → A]' publishing year ↑ (asc)' publishing year ↓ (desc)' title [A → Z]' title [Z → A]' Simple Search Hits 1 – 13 of 13 1 Are You Talking to a Machine? Dataset and Methods for Multilingual Image Question Answering ... Gao, Haoyuan; Mao, Junhua; Zhou, Jie; Huang, Zhiheng; Wang, Lei; Xu, Wei. - : arXiv, 2015 Abstract: In this paper, we present the mQA model, which is able to answer questions about the content of an image. The answer can be a sentence, a phrase or a single word. Our model contains four components: a Long Short-Term Memory (LSTM) to extract the question representation, a Convolutional Neural Network (CNN) to extract the visual representation, an LSTM for storing the linguistic context in an answer, and a fusing component to combine the information from the first three components and generate the answer. We construct a Freestyle Multilingual Image Question Answering (FM-IQA) dataset to train and evaluate our mQA model. It contains over 150,000 images and 310,000 freestyle Chinese question-answer pairs and their English translations. The quality of the generated answers of our mQA model on this dataset is evaluated by human judges through a Turing Test. Specifically, we mix the answers provided by humans and our model. The human judges need to distinguish our model from the human. They will also provide a ... : Dataset released on the project page, see http://idl.baidu.com/FM-IQA.html ; NIPS 2015 camera ready version ... Keyword: Computation and Language cs.CL; Computer Vision and Pattern Recognition cs.CV; FOS Computer and information sciences; I.2.6; I.2.7; I.2.10; Machine Learning cs.LG URL: https://arxiv.org/abs/1505.05612 https://dx.doi.org/10.48550/arxiv.1505.05612 BASE Hide details 2 Learning like a Child: Fast Novel Visual Concept Learning from Sentence Descriptions of Images ... Mao, Junhua; Xu, Wei; Yang, Yi. - : arXiv, 2015 BASE Show details 3 Translation Memory Retrieval Methods ... Bloodgood, Michael; Strauss, Benjamin. - : arXiv, 2015 BASE Show details 4 The Influence of Context on Dialogue Act Recognition ... Ribeiro, Eugénio; Ribeiro, Ricardo; de Matos, David Martins. - : arXiv, 2015 BASE Show details 5 Statistical modality tagging from rule-based annotations and crowdsourcing ... Prabhakaran, Vinodkumar; Bloodgood, Michael; Diab, Mona. - : arXiv, 2015 BASE Show details 6 Replication and Generalization of PRECISE ... Minock, Michael; Everling, Nils. - : arXiv, 2015 BASE Show details 7 Reasoning about Entailment with Neural Attention ... Rocktäschel, Tim; Grefenstette, Edward; Hermann, Karl Moritz. - : arXiv, 2015 BASE Show details 8 Named Entity Recognition with Bidirectional LSTM-CNNs ... Chiu, Jason P. C.; Nichols, Eric. - : arXiv, 2015 BASE Show details 9 Use of Modality and Negation in Semantically-Informed Syntactic MT ... Baker, Kathryn; Bloodgood, Michael; Dorr, Bonnie J.. - : arXiv, 2015 BASE Show details 10 Unknown Words Analysis in POS tagging of Sinhala Language ... Jayaweera, A. J. P. M. P.; Dias, N. G. J.. - : arXiv, 2015 BASE Show details 11 Towards Using Machine Translation Techniques to Induce Multilingual Lexica of Discourse Markers ... Lopes, António; de Matos, David Martins; Cabarrão, Vera. - : arXiv, 2015 BASE Show details 12 Exploring Lexical, Syntactic, and Semantic Features for Chinese Textual Entailment in NTCIR RITE Evaluation Tasks ... Huang, Wei-Jie; Liu, Chao-Lin. - : arXiv, 2015 BASE Show details 13 Annotating Cognates and Etymological Origin in Turkic Languages ... Mericli, Benjamin S.; Bloodgood, Michael. - : arXiv, 2015 BASE Show details

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