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Date Name Thumbnail Size User Description Versions
22:03, 9 May 2019 1992 ASimpleRulebasedPOSTagger Fig1.png (file) 26 KB Omoreira Brill 1992 1
23:55, 5 May 2019 2006 SquiggleASemanticSearchEnginefo Fig1.png (file) 74 KB Omoreira '''Fig. 1.''' The architecture of <code>Squiggle</code> framework. In: Celino et al. (2006) 1
23:01, 5 May 2019 2006 EKOSSAKnowledgeUserCenteredAppr Fig2.png (file) 197 KB Omoreira B>Fig. 2.</B> the four level architecture for knowledge sharing, discovery and integration proposed by the authors. In:Kraines et al.(2006) 1
17:39, 3 May 2019 2005 ATemporalAggregatesOntologyinOW Fig1.png (file) 26 KB Omoreira Figure 1: Subclass hierarchy of temporal concepts. In: Pan (2005) 1
21:06, 28 April 2019 2017 DeepFixFixingCommonCLanguageErr Fig2.png (file) 40 KB Omoreira Figure 2: The iterative repair strategy of DeepFix. <P> Copyright: Gupta et al. (2017) 1
05:03, 28 April 2019 2018 BERTPreTrainingofDeepBidirectio Fig1.png (file) 85 KB Omoreira <B>Figure 1:</B> Differences in pre-training model architectures. BERT uses a bidirectional Transformer. OpenAI GPT uses a left-to-right Transformer. ELMo uses the concatenation of independently trained left-to-right and rig... 1
04:05, 28 April 2019 2019 MultiTaskDeepNeuralNetworksfor Fig1.png (file) 74 KB Omoreira <B>Figure 1:</B> Architecture of the MT-DNN model for representation learning. The lower layers are shared across all tasks while the top layers are task-specific. The input <math>X</math> (either a sentence... 1
23:45, 25 April 2019 2018 SemEHRAGeneralPurposeSemanticSe Fig2.png (file) 102 KB Omoreira <B>Figure 2.</B> The architecture of SemEHR is composed of 3 subsystems: (1) the producing subsystem (upper part of the figure), creation of SemEHR semantic index by harmonizing, natural language processing, and indexing [[E... 1
10:20, 31 March 2019 2008 BARTAModularToolkitforCoreferen Fig2.png (file) 45 KB Omoreira Figure 2: Example system configuration. In: Versley et al. (2008) 1
00:11, 25 March 2019 2011 NaturalLanguageProcessingAlmost Fig2.png (file) 101 KB Omoreira   2
00:08, 25 March 2019 2011 NaturalLanguageProcessingAlmost Fig1.png (file) 42 KB Omoreira Figure 1: Window approach network. In: Collobert et al. (2011) 1
20:59, 13 March 2019 2001 AMachineLearningApproachtoCoref Fig1.png (file) 45 KB Omoreira <B>Figure 1</b> System architecture of natural language processing pipeline. In: Soon et al., (2001) 1
19:27, 3 March 2019 2017 UnsupervisedPretrainingforSeque Fig1.png (file) 36 KB Omoreira Figure 1: Pretrained sequence to sequence model. The red parameters are the encoder and the blue parameters are the decoder. All parameters in a shaded box are pretrained, either from the source side (light... 1
18:50, 3 March 2019 2015 ANeuralConversationalModel Fig1.png (file) 20 KB Omoreira Figure 1. Using the seq2seq framework for modeling conversations. In: Vinyals & Le (2015). 1
22:46, 27 February 2019 2018 DeepSequenceLearningwithAuxilia Fig4.png (file) 16 KB Omoreira <B>Figure 4:</B> Seq2Seq: The Sequence to Sequence model predicts future traffic speed <math>\{\tilde{v}_{t+1},\tilde{v}_{t+2}, \cdots ,\tilde{v}_{t+t'} \}</math>, given the previous traffic speed <math>{v_1,v_2, ...v_t }</math>. In:[[2... 1
23:59, 10 February 2019 2003 TowardsaTheoryofNaturalLanguage Fig4.png (file) 57 KB Omoreira Figure4: PRECISE System Architecture.In: Popescu et al. (2003). 1
23:19, 10 February 2019 2005 NaLIXAnInteractiveNaturalLangua Fig1.png (file) 84 KB Omoreira Figure 1: Architecture of NaLIX. In: Li et al. (2005). 1
08:06, 10 February 2019 2008 NaturalLanguageDatabaseInterfac Fig1.png (file) 64 KB Omoreira Figure 1: Architectural Design of NLDBI-CBMS. In: Garcia et al. (2008) 1
06:48, 10 February 2019 2014 ConstructingAnInteractiveNatura Fig2.png (file) 42 KB Omoreira Figure 2: System Architecture. In: Li & Jagadish (2014). 1
23:42, 20 January 2019 2016 ScalingMemoryAugmentedNeuralNet Fig5.png (file) 49 KB Omoreira Figure 5: A schematic of the memory efficient backpropagation through time. Each circle represents an instance of the SAM core at a given time step. The grey box marks the dense memory. Each core holds a reference to the single [[instan... 1
20:57, 20 January 2019 2016 DynamicNeuralTuringMachinewithS Fig1.png (file) 57 KB Omoreira Figure 1: A graphical illustration of the proposed dynamic neural Turing machine with the recurrent-controller. The controller receives the fact as a continuous vector encoded by a recurrent neural network, computes the [[re... 1
23:43, 13 January 2019 2014 NeuralTuringMachines Fig1.png (file) 26 KB Omoreira '''Figure 1: Neural Turing Machine Architecture.''' During each update cycle, the controller network receives inputs from an external environment and emits outputs in response. It also reads to and writes fr... 1
07:22, 13 January 2019 2009 LearningClassifierSystemsACompl Fig1.png (file) 52 KB Omoreira Figure 1: Field tree—foundations of the LCS community. In: Urbanowicz & Moore, (2009) 1
14:46, 6 January 2019 2018 RethinkingMachineLearningDevelo Fig2.png (file) 44 KB Omoreira <i>Figure 2: Proposed ML development and deployment approach. The shaded blocks are vendor-specific parts</i> In: Lai & Suda, (2018) 1
14:41, 6 January 2019 2018 RethinkingMachineLearningDevelo Fig1.png (file) 46 KB Omoreira <i>Figure 1: Current ML development and deployment approach. The shaded blocks are vendor-specific parts.</i> In: Lai & Suda, (2018) 1
00:21, 31 December 2018 2015 TeachingMachinestoReadandCompre Fig1.png (file) 77 KB Omoreira Figure 1: Document and query embedding models. In: Hermann et al., (2015). 1
23:04, 30 December 2018 2016 LSTMbasedDeepLearningModelsforN Fig3.png (file) 30 KB Omoreira Figure 3: QA-LSTM with attention. In: Tan et al., (2016) 1
22:46, 30 December 2018 2016 LSTMbasedDeepLearningModelsforN Fig2.png (file) 29 KB Omoreira Figure 2: QA-LSTM/CNN.In: Tan et al., 2016 1
22:01, 30 December 2018 2016 LSTMbasedDeepLearningModelsforN Fig1.png (file) 22 KB Omoreira Figure 1: Basic Model: QA-LSTM. In: Tan et al., 2016 1
08:49, 30 December 2018 2015 DeepQuestionAnsweringforProtein Fig2.png (file) 119 KB Omoreira Figure 2.</B> Deep QA. In standard QA, answers are extracted from some retrieved documents. In Deep QA, curated data are exploited to build a supervised classification model, which is then used to generate answers. In:[[... 1
23:28, 29 December 2018 2015 DeepQuestionAnsweringforProtein Fig3.png (file) 190 KB Omoreira <B>Figure 3.</B> Overall workflow of the EAGLi platform. The input is a question formulated in natural language, the output is a set of candidate answers extracted from a set of retrieved MEDLINE abstracts. In: [[2015_De... 1
17:55, 16 December 2018 2016 EIEEfficientInferenceEngineonCo Fig1.png (file) 48 KB Omoreira Figure 1. Efficient inference engine that works on the compressed deep neural network model for machine learning applications. In: Han et al. (2016) 1
16:50, 16 December 2018 2016 DeepCompressionCompressingDeepN Fig1.png (file) 74 KB Omoreira Figure 1: The three stage compression pipeline: pruning, quantization and Huffman coding. Pruning reduces the number of... 1
11:03, 16 December 2018 2017 MemoryEfficientImplementationof Fig3.png (file) 105 KB Omoreira Figure 3: DenseNet layer forward pass: original implementation (left) and efficient implementation (right). Solid boxes correspond to tensors all... 1
10:05, 16 December 2018 2017 DenselyConnectedConvolutionalNe Fig1.png (file) 67 KB Omoreira Figure 1: A 5-layer dense block with a growth rate of <math>\kappa = 4</math>. Each layer takes all preceding feature-maps as input. In: Huang et al. (2017) 1
16:34, 8 December 2018 2006 SoundandEfficientInferencewithP Algorithm1.png (file) 43 KB Omoreira Algorihtm 1 &copyright; Poon & Domingos, 2006 1
00:03, 26 November 2018 2018 ProvidingASimpleQuestionAnsweri Fig1.png (file) 32 KB Omoreira Figure 1: Overall data flow for our Question ⇒ Question system. In: Larson et al. (2018) 1
08:25, 25 November 2018 2002 MaximumCommonSubgraphIsomorphis Fig1b.png (file) 16 KB Omoreira <P>Figure 1. b) Maximum common edge subgraph.. In: Raymond & Willett (2002). 1
08:24, 25 November 2018 2002 MaximumCommonSubgraphIsomorphis Fig1a.png (file) 15 KB Omoreira <P>Figure 1. a) Maximum common induced subgraph. In: Raymond & Willett (2002). 1
07:33, 25 November 2018 2002 MaximumCommonSubgraphIsomorphis Fig2b.png (file) 17 KB Omoreira Figure 2. b) Disconnected MCES. In: Raymond & Willett (2002) 1
07:33, 25 November 2018 2002 MaximumCommonSubgraphIsomorphis Fig2a.png (file) 17 KB Omoreira Figure 2. a) Connected MCES. In: Raymond & Willett (2002) 1
04:29, 24 November 2018 2002 MaximumCommonSubgraphIsomorphis Fig4.png (file) 16 KB Omoreira Figure 4.</B> MCS algorithm classification. In: Raymond & Willett (2002). 1
23:56, 18 November 2018 2016 MetaLearningwithMemoryAugmented Fig1.png (file) 77 KB Omoreira '''Figure 1'''. Task structure. (a) Omniglot images (or x-values for regression), <math>x_t</math>, are presented with time-offset labels (or function values), <math>y_{t−1}</math>, to prevent the network from simp... 1
22:48, 18 November 2018 2016 HierarchicalAttentionNetworksfo Fig2.png (file) 52 KB Omoreira '''Figure 2:''' Hierarchical Attention Network. In: Yang et al., (2016) 1
05:15, 18 November 2018 2016 BidirectionalRecurrentNeuralNet Fig1.png (file) 23 KB Omoreira Figure 1: Description of the model predicting punctuation <math>y_t</math> at time step <math>t</math> for the slot before the current input word <math>x_t</math>. In: Tilk & Alumae (2016) 1
06:41, 15 November 2018 2015 BayesianMarkovBlanketEstimation Fig2.png (file) 137 KB Omoreira <i><B>Figure 2:</B> One exemplary Markov blanket <math>(p = 10, q = 90)</math> and its reconstruction by BGL and BMB. Note that the graphs only display edges between <math>p</math> query and <math>q</math> remaining variable... 1
06:09, 15 November 2018 2006 Kugala Chap4 Fig1.png (file) 40 KB Omoreira Figure 4.1: Example of Markov Blanket for node <math>X_i</math>. In: Tomasz Kulaga. (2006).[https://pdfs.semanticscholar.org/cc15/5a644386d8a86ed1124d330e3655e929fe7e.pdf "The Markov Blanket Concept in Bayesian Networks and Dynamic Baye... 1
22:31, 14 November 2018 2001 AMachLearnApprToCorefResOfNounPhrases Fig1.png (file) 48 KB Omoreira <B>Figure 1</B> System architecture of natural language processing pipeline. In: Soon et al., (2001) 1
19:57, 11 November 2018 2016 NeuralGenerativeQuestionAnsweri Fig1.png (file) 50 KB Omoreira Figure 1: System diagram of GENQA. In: Yin et al., (2016) 1
17:01, 11 November 2018 2017 AutomaticQuestionAnsweringUsing Fig4.png (file) 97 KB Omoreira '''Fig. 4.''' The block-diagram of the proposed similarity network. IN: Minaee & Liu, 2017 1
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