prompts stringlengths 81 413 | metrics_response stringlengths 0 371 |
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What metrics were used to measure the SSC model in the Sparse Subspace Clustering: Algorithm, Theory, and Applications paper on the Hopkins155 dataset? | Classification Error |
What metrics were used to measure the FastFlowNet (Kitti) model in the Optical Flow Based Motion Detection for Autonomous Driving paper on the nuScenes dataset? | F1 (%) |
What metrics were used to measure the Raft (Kitti) model in the Optical Flow Based Motion Detection for Autonomous Driving paper on the nuScenes dataset? | F1 (%) |
What metrics were used to measure the BEIRA model in the fMRI from EEG is only Deep Learning away: the use of interpretable DL to unravel EEG-fMRI relationships paper on the CWL EEG/fMRI Dataset dataset? | Pearson Correlation |
What metrics were used to measure the MeD model in the Multi-view Self-supervised Disentanglement for General Image Denoising paper on the CBSD68 sigm75 dataset? | PSNR/SSIM |
What metrics were used to measure the EDCNN model in the EDCNN: Edge enhancement-based Densely Connected Network with Compound Loss for Low-Dose CT Denoising paper on the AAPM dataset? | PSNR, SSIM |
What metrics were used to measure the DRANet model in the Dual Residual Attention Network for Image Denoising paper on the DND dataset? | Average PSNR, SSIM (sRGB) |
What metrics were used to measure the PCNN+RL+HME model in the RH-Net: Improving Neural Relation Extraction via Reinforcement Learning and Hierarchical Relational Searching paper on the iris dataset? | Average |
What metrics were used to measure the SINDy model in the Sparse learning of stochastic dynamic equations paper on the Darmstadt Noise Dataset dataset? | PSNR |
What metrics were used to measure the Pixel-shuffling Downsampling model in the When AWGN-based Denoiser Meets Real Noises paper on the Darmstadt Noise Dataset dataset? | PSNR |
What metrics were used to measure the TWSC model in the A Trilateral Weighted Sparse Coding Scheme for Real-World Image Denoising paper on the Darmstadt Noise Dataset dataset? | PSNR |
What metrics were used to measure the CBDNet(Syn) model in the Toward Convolutional Blind Denoising of Real Photographs paper on the Darmstadt Noise Dataset dataset? | PSNR |
What metrics were used to measure the MCWNNM model in the Multi-channel Weighted Nuclear Norm Minimization for Real Color Image Denoising paper on the Darmstadt Noise Dataset dataset? | PSNR |
What metrics were used to measure the Han et al model in the k-Space Deep Learning for Accelerated MRI paper on the Darmstadt Noise Dataset dataset? | PSNR |
What metrics were used to measure the FFDNet model in the FFDNet: Toward a Fast and Flexible Solution for CNN based Image Denoising paper on the Darmstadt Noise Dataset dataset? | PSNR |
What metrics were used to measure the TNRD model in the Trainable Nonlinear Reaction Diffusion: A Flexible Framework for Fast and Effective Image Restoration paper on the Darmstadt Noise Dataset dataset? | PSNR |
What metrics were used to measure the CDnCNN-B model in the Beyond a Gaussian Denoiser: Residual Learning of Deep CNN for Image Denoising paper on the Darmstadt Noise Dataset dataset? | PSNR |
What metrics were used to measure the NLRN model in the Non-Local Recurrent Network for Image Restoration paper on the Darmstadt Noise Dataset dataset? | PSNR |
What metrics were used to measure the MS-G3D model in the Disentangling and Unifying Graph Convolutions for Skeleton-Based Action Recognition paper on the Assembly101 dataset? | Actions Top-1, Verbs Top-1, Object Top-1 |
What metrics were used to measure the ISTA-Net model in the Interactive Spatiotemporal Token Attention Network for Skeleton-based General Interactive Action Recognition paper on the Assembly101 dataset? | Actions Top-1, Verbs Top-1, Object Top-1 |
What metrics were used to measure the 2s-AGCN model in the Two-Stream Adaptive Graph Convolutional Networks for Skeleton-Based Action Recognition paper on the Assembly101 dataset? | Actions Top-1, Verbs Top-1, Object Top-1 |
What metrics were used to measure the htf model in the A System for Real-Time Interactive Analysis of Deep Learning Training paper on the 100 sleep nights of 8 caregivers dataset? | 10% |
What metrics were used to measure the ACE model in the Automated Concatenation of Embeddings for Structured Prediction paper on the CoNLL 2003 (German) dataset? | F1 |
What metrics were used to measure the Wang et al., 2020 model in the More Embeddings, Better Sequence Labelers? paper on the CoNLL 2003 (German) dataset? | F1 |
What metrics were used to measure the AIN model in the AIN: Fast and Accurate Sequence Labeling with Approximate Inference Network paper on the CoNLL 2003 (German) dataset? | F1 |
What metrics were used to measure the ACE model in the Automated Concatenation of Embeddings for Structured Prediction paper on the Penn Treebank dataset? | F1 score |
What metrics were used to measure the Flair embeddings model in the Contextual String Embeddings for Sequence Labeling paper on the Penn Treebank dataset? | F1 score |
What metrics were used to measure the JMT model in the A Joint Many-Task Model: Growing a Neural Network for Multiple NLP Tasks paper on the Penn Treebank dataset? | F1 score |
What metrics were used to measure the Low supervision model in the Deep multi-task learning with low level tasks supervised at lower layers paper on the Penn Treebank dataset? | F1 score |
What metrics were used to measure the IntNet + BiLSTM-CRF model in the Learning Better Internal Structure of Words for Sequence Labeling paper on the Penn Treebank dataset? | F1 score |
What metrics were used to measure the Suzuki and Isozaki model in the paper on the Penn Treebank dataset? | F1 score |
What metrics were used to measure the NCRF++ model in the NCRF++: An Open-source Neural Sequence Labeling Toolkit paper on the Penn Treebank dataset? | F1 score |
What metrics were used to measure the BI-LSTM-CRF (Senna) (ours) model in the Bidirectional LSTM-CRF Models for Sequence Tagging paper on the Penn Treebank dataset? | F1 score |
What metrics were used to measure the ACE model in the Automated Concatenation of Embeddings for Structured Prediction paper on the CoNLL 2003 (English) dataset? | F1 |
What metrics were used to measure the Wang et al., 2020 model in the More Embeddings, Better Sequence Labelers? paper on the CoNLL 2003 (English) dataset? | F1 |
What metrics were used to measure the AIN model in the AIN: Fast and Accurate Sequence Labeling with Approximate Inference Network paper on the CoNLL 2003 (English) dataset? | F1 |
What metrics were used to measure the ACE model in the Automated Concatenation of Embeddings for Structured Prediction paper on the CoNLL 2000 dataset? | Exact Span F1 |
What metrics were used to measure the BERT-CRF (Replicated in AdaSeq) model in the Improving Named Entity Recognition by External Context Retrieving and Cooperative Learning paper on the CoNLL 2000 dataset? | Exact Span F1 |
What metrics were used to measure the ELMo + MAT + Multi-Task model in the Enhance Robustness of Sequence Labelling with Masked Adversarial Training paper on the CoNLL 2000 dataset? | Exact Span F1 |
What metrics were used to measure the CVT+Multi-Task+Large model in the Cross-View Training for Semi-Supervised Learning paper on the CoNLL 2000 dataset? | Exact Span F1 |
What metrics were used to measure the ELMo + Multi-Task model in the Cross-View Training for Semi-Supervised Learning paper on the CoNLL 2000 dataset? | Exact Span F1 |
What metrics were used to measure the Flair model in the Contextual String Embeddings for Sequence Labeling paper on the CoNLL 2000 dataset? | Exact Span F1 |
What metrics were used to measure the SeqVAT model in the SeqVAT: Virtual Adversarial Training for Semi-Supervised Sequence Labeling paper on the CoNLL 2000 dataset? | Exact Span F1 |
What metrics were used to measure the Adversarial Training model in the Robust Multilingual Part-of-Speech Tagging via Adversarial Training paper on the CoNLL 2000 dataset? | Exact Span F1 |
What metrics were used to measure the BiLSTM-CRF model in the Robust Multilingual Part-of-Speech Tagging via Adversarial Training paper on the CoNLL 2000 dataset? | Exact Span F1 |
What metrics were used to measure the Sequence-to-Graph Transduction model in the AMR Parsing as Sequence-to-Graph Transduction paper on the LDC2014T12: dataset? | F1 Newswire, F1 Full |
What metrics were used to measure the Transition-based+improved aligner+ensemble model in the An AMR Aligner Tuned by Transition-based Parser paper on the LDC2014T12: dataset? | F1 Newswire, F1 Full |
What metrics were used to measure the Incremental joint model model in the AMR Parsing with an Incremental Joint Model paper on the LDC2014T12: dataset? | F1 Newswire, F1 Full |
What metrics were used to measure the Transition-based transducer model in the paper on the LDC2014T12: dataset? | F1 Newswire, F1 Full |
What metrics were used to measure the Imitation learning model in the Noise reduction and targeted exploration in imitation learning for Abstract Meaning Representation parsing paper on the LDC2014T12: dataset? | F1 Newswire, F1 Full |
What metrics were used to measure the APT (IBM) model in the AMR Parsing with Action-Pointer Transformer paper on the LDC2014T12 dataset? | F1 Full, F1 Newswire |
What metrics were used to measure the stack-Transformer + self-learning (IBM) model in the Pushing the Limits of AMR Parsing with Self-Learning paper on the LDC2014T12 dataset? | F1 Full, F1 Newswire |
What metrics were used to measure the AMR Parsing via Graph-Sequence Iterative Inference model in the AMR Parsing via Graph-Sequence Iterative Inference paper on the LDC2014T12 dataset? | F1 Full, F1 Newswire |
What metrics were used to measure the Broad-Coverage Semantic Parsing as Transduction model in the Broad-Coverage Semantic Parsing as Transduction paper on the LDC2014T12 dataset? | F1 Full, F1 Newswire |
What metrics were used to measure the Two-stage Sequence-to-Graph Transducer model in the AMR Parsing as Sequence-to-Graph Transduction paper on the LDC2014T12 dataset? | F1 Full, F1 Newswire |
What metrics were used to measure the Transition-based+improved aligner+ensemble model in the An AMR Aligner Tuned by Transition-based Parser paper on the LDC2014T12 dataset? | F1 Full, F1 Newswire |
What metrics were used to measure the Improved CAMR model in the Getting the Most out of AMR Parsing paper on the LDC2014T12 dataset? | F1 Full, F1 Newswire |
What metrics were used to measure the Incremental joint model model in the AMR Parsing with an Incremental Joint Model paper on the LDC2014T12 dataset? | F1 Full, F1 Newswire |
What metrics were used to measure the Transition-based transducer model in the Boosting Transition-based AMR Parsing with Refined Actions and Auxiliary Analyzers paper on the LDC2014T12 dataset? | F1 Full, F1 Newswire |
What metrics were used to measure the MT-Based model in the Parsing English into Abstract Meaning Representation Using Syntax-Based Machine Translation paper on the LDC2014T12 dataset? | F1 Full, F1 Newswire |
What metrics were used to measure the Transition-based parser-Stack-LSTM model in the AMR Parsing using Stack-LSTMs paper on the LDC2014T12 dataset? | F1 Full, F1 Newswire |
What metrics were used to measure the Imitation learning model in the Noise reduction and targeted exploration in imitation learning for Abstract Meaning Representation parsing paper on the LDC2014T12 dataset? | F1 Full, F1 Newswire |
What metrics were used to measure the Graphene Smatch (MBSE paper) (IBM) model in the Maximum Bayes Smatch Ensemble Distillation for AMR Parsing paper on the LDC2020T02 dataset? | Smatch |
What metrics were used to measure the Graphene Smatch (IBM) model in the Ensembling Graph Predictions for AMR Parsing paper on the LDC2020T02 dataset? | Smatch |
What metrics were used to measure the LeakDistill model in the Incorporating Graph Information in Transformer-based AMR Parsing paper on the LDC2020T02 dataset? | Smatch |
What metrics were used to measure the Graphene Support (IBM) model in the Ensembling Graph Predictions for AMR Parsing paper on the LDC2020T02 dataset? | Smatch |
What metrics were used to measure the StructBART + MBSE (IBM) model in the Maximum Bayes Smatch Ensemble Distillation for AMR Parsing paper on the LDC2020T02 dataset? | Smatch |
What metrics were used to measure the AMRBART large model in the Graph Pre-training for AMR Parsing and Generation paper on the LDC2020T02 dataset? | Smatch |
What metrics were used to measure the ATP-SRL model in the ATP: AMRize Then Parse! Enhancing AMR Parsing with PseudoAMRs paper on the LDC2020T02 dataset? | Smatch |
What metrics were used to measure the BiBL model in the BiBL: AMR Parsing and Generation with Bidirectional Bayesian Learning paper on the LDC2020T02 dataset? | Smatch |
What metrics were used to measure the BiBL+Silver model in the BiBL: AMR Parsing and Generation with Bidirectional Bayesian Learning paper on the LDC2020T02 dataset? | Smatch |
What metrics were used to measure the LeakDistill (base) model in the Incorporating Graph Information in Transformer-based AMR Parsing paper on the LDC2020T02 dataset? | Smatch |
What metrics were used to measure the SPRING DFS model in the One SPRING to Rule Them Both: Symmetric AMR Semantic Parsing and Generation without a Complex Pipeline paper on the LDC2020T02 dataset? | Smatch |
What metrics were used to measure the SPRING DFS + silver model in the One SPRING to Rule Them Both: Symmetric AMR Semantic Parsing and Generation without a Complex Pipeline paper on the LDC2020T02 dataset? | Smatch |
What metrics were used to measure the APT+Silver (IBM) model in the AMR Parsing with Action-Pointer Transformer paper on the LDC2020T02 dataset? | Smatch |
What metrics were used to measure the StructBART + MBSE (IBM) model in the Maximum Bayes Smatch Ensemble Distillation for AMR Parsing paper on the Bio dataset? | Smatch |
What metrics were used to measure the AMRBART large model in the Graph Pre-training for AMR Parsing and Generation paper on the Bio dataset? | Smatch |
What metrics were used to measure the Graphene Smatch model in the Ensembling Graph Predictions for AMR Parsing paper on the Bio dataset? | Smatch |
What metrics were used to measure the SPRING DFS model in the One SPRING to Rule Them Both: Symmetric AMR Semantic Parsing and Generation without a Complex Pipeline paper on the Bio dataset? | Smatch |
What metrics were used to measure the SPRING DFS + silver model in the One SPRING to Rule Them Both: Symmetric AMR Semantic Parsing and Generation without a Complex Pipeline paper on the Bio dataset? | Smatch |
What metrics were used to measure the Joint model model in the AMR Parsing as Graph Prediction with Latent Alignment paper on the LDC2015E86 dataset? | Smatch |
What metrics were used to measure the Mul-BiLSTM model in the Abstract Meaning Representation Parsing using LSTM Recurrent Neural Networks paper on the LDC2015E86 dataset? | Smatch |
What metrics were used to measure the JAMR model in the CMU at SemEval-2016 Task 8: Graph-based AMR Parsing with Infinite Ramp Loss paper on the LDC2015E86 dataset? | Smatch |
What metrics were used to measure the CAMR model in the CAMR at SemEval-2016 Task 8: An Extended Transition-based AMR Parser paper on the LDC2015E86 dataset? | Smatch |
What metrics were used to measure the AMREager model in the An Incremental Parser for Abstract Meaning Representation paper on the LDC2015E86 dataset? | Smatch |
What metrics were used to measure the SEQ2SEQ + 20M model in the Neural AMR: Sequence-to-Sequence Models for Parsing and Generation paper on the LDC2015E86 dataset? | Smatch |
What metrics were used to measure the StructBART + MBSE (IBM) model in the Maximum Bayes Smatch Ensemble Distillation for AMR Parsing paper on the LDC2017T10 dataset? | Smatch |
What metrics were used to measure the Graphene Smatch (IBM) model in the Ensembling Graph Predictions for AMR Parsing paper on the LDC2017T10 dataset? | Smatch |
What metrics were used to measure the LeakDistill model in the Incorporating Graph Information in Transformer-based AMR Parsing paper on the LDC2017T10 dataset? | Smatch |
What metrics were used to measure the StructBART + MBSE (IBM) model in the Maximum Bayes Smatch Ensemble Distillation for AMR Parsing paper on the LDC2017T10 dataset? | Smatch |
What metrics were used to measure the Graphene Support (IBM) model in the Ensembling Graph Predictions for AMR Parsing paper on the LDC2017T10 dataset? | Smatch |
What metrics were used to measure the AMRBART large model in the Graph Pre-training for AMR Parsing and Generation paper on the LDC2017T10 dataset? | Smatch |
What metrics were used to measure the ATP-SRL (Ensemble) model in the ATP: AMRize Then Parse! Enhancing AMR Parsing with PseudoAMRs paper on the LDC2017T10 dataset? | Smatch |
What metrics were used to measure the ATP-SRL model in the ATP: AMRize Then Parse! Enhancing AMR Parsing with PseudoAMRs paper on the LDC2017T10 dataset? | Smatch |
What metrics were used to measure the StructBART-J (IBM) model in the Structure-aware Fine-tuning of Sequence-to-sequence Transformers for Transition-based AMR Parsing paper on the LDC2017T10 dataset? | Smatch |
What metrics were used to measure the LeakDistill (base) model in the Incorporating Graph Information in Transformer-based AMR Parsing paper on the LDC2017T10 dataset? | Smatch |
What metrics were used to measure the BiBL+Silver model in the BiBL: AMR Parsing and Generation with Bidirectional Bayesian Learning paper on the LDC2017T10 dataset? | Smatch |
What metrics were used to measure the BiBL model in the BiBL: AMR Parsing and Generation with Bidirectional Bayesian Learning paper on the LDC2017T10 dataset? | Smatch |
What metrics were used to measure the SPRING model in the One SPRING to Rule Them Both: Symmetric AMR Semantic Parsing and Generation without a Complex Pipeline paper on the LDC2017T10 dataset? | Smatch |
What metrics were used to measure the APT base (IBM) model in the AMR Parsing with Action-Pointer Transformer paper on the LDC2017T10 dataset? | Smatch |
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