prompts stringlengths 81 413 | metrics_response stringlengths 0 371 |
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What metrics were used to measure the Mia model in the MIA-Prognosis: A Deep Learning Framework to Predict Therapy Response paper on the 20000 utterances dataset? | 10-keyword Speech Commands dataset |
What metrics were used to measure the TDBU_Net model in the Monocular 3D Multi-Person Pose Estimation by Integrating Top-Down and Bottom-Up Networks paper on the MuPoTS-3D dataset? | 3DPCK, MPJPE, AUC |
What metrics were used to measure the Dual network model in the Dual networks based 3D Multi-Person Pose Estimation from Monocular Video paper on the MuPoTS-3D dataset? | 3DPCK, MPJPE, AUC |
What metrics were used to measure the GnTCN model in the Graph and Temporal Convolutional Networks for 3D Multi-person Pose Estimation in Monocular Videos paper on the MuPoTS-3D dataset? | 3DPCK, MPJPE, AUC |
What metrics were used to measure the PIRN model in the Permutation-Invariant Relational Network for Multi-person 3D Pose Estimation paper on the MuPoTS-3D dataset? | 3DPCK, MPJPE, AUC |
What metrics were used to measure the Temporal Smoothing model in the Temporal Smoothing for 3D Human Pose Estimation and Localization for Occluded People paper on the MuPoTS-3D dataset? | 3DPCK, MPJPE, AUC |
What metrics were used to measure the GR-M3D model in the Dynamic Graph Reasoning for Multi-person 3D Pose Estimation paper on the MuPoTS-3D dataset? | 3DPCK, MPJPE, AUC |
What metrics were used to measure the HDNet model in the HDNet: Human Depth Estimation for Multi-Person Camera-Space Localization paper on the MuPoTS-3D dataset? | 3DPCK, MPJPE, AUC |
What metrics were used to measure the POTR-3D model in the Towards Robust and Smooth 3D Multi-Person Pose Estimation from Monocular Videos in the Wild paper on the MuPoTS-3D dataset? | 3DPCK, MPJPE, AUC |
What metrics were used to measure the Cascaded Dimension-Lifting model in the Deep Monocular 3D Human Pose Estimation via Cascaded Dimension-Lifting paper on the MuPoTS-3D dataset? | 3DPCK, MPJPE, AUC |
What metrics were used to measure the WDSPose model in the Multi-Person Absolute 3D Human Pose Estimation with Weak Depth Supervision paper on the MuPoTS-3D dataset? | 3DPCK, MPJPE, AUC |
What metrics were used to measure the DAS model in the Distribution-Aware Single-Stage Models for Multi-Person 3D Pose Estimation paper on the MuPoTS-3D dataset? | 3DPCK, MPJPE, AUC |
What metrics were used to measure the PI-Net model in the PI-Net: Pose Interacting Network for Multi-Person Monocular 3D Pose Estimation paper on the MuPoTS-3D dataset? | 3DPCK, MPJPE, AUC |
What metrics were used to measure the HMOR model in the HMOR: Hierarchical Multi-Person Ordinal Relations for Monocular Multi-Person 3D Pose Estimation paper on the MuPoTS-3D dataset? | 3DPCK, MPJPE, AUC |
What metrics were used to measure the 3DMPPE_POSENET model in the Camera Distance-aware Top-down Approach for 3D Multi-person Pose Estimation from a Single RGB Image paper on the MuPoTS-3D dataset? | 3DPCK, MPJPE, AUC |
What metrics were used to measure the Liu et al. model in the Explicit Occlusion Reasoning for Multi-person 3D Human Pose Estimation paper on the MuPoTS-3D dataset? | 3DPCK, MPJPE, AUC |
What metrics were used to measure the SMAP model in the SMAP: Single-Shot Multi-Person Absolute 3D Pose Estimation paper on the MuPoTS-3D dataset? | 3DPCK, MPJPE, AUC |
What metrics were used to measure the Single-Shot Multi-Person model in the Single-Shot Multi-Person 3D Pose Estimation From Monocular RGB paper on the MuPoTS-3D dataset? | 3DPCK, MPJPE, AUC |
What metrics were used to measure the Depth Prediction Network model in the Absolute Human Pose Estimation with Depth Prediction Network paper on the MuPoTS-3D dataset? | 3DPCK, MPJPE, AUC |
What metrics were used to measure the Mehta et al. model in the Single-Shot Multi-Person 3D Pose Estimation From Monocular RGB paper on the MuPoTS-3D dataset? | 3DPCK, MPJPE, AUC |
What metrics were used to measure the LCR-Net model in the LCR-Net: Localization-Classification-Regression for Human Pose paper on the MuPoTS-3D dataset? | 3DPCK, MPJPE, AUC |
What metrics were used to measure the DREEAM model in the DREEAM: Guiding Attention with Evidence for Improving Document-Level Relation Extraction paper on the ReDocRED dataset? | F1, Ign F1 |
What metrics were used to measure the SSR-PU model in the A Unified Positive-Unlabeled Learning Framework for Document-Level Relation Extraction with Different Levels of Labeling paper on the ReDocRED dataset? | F1, Ign F1 |
What metrics were used to measure the KD-DocRE model in the Document-Level Relation Extraction with Adaptive Focal Loss and Knowledge Distillation paper on the ReDocRED dataset? | F1, Ign F1 |
What metrics were used to measure the DocuNET model in the Document-level Relation Extraction as Semantic Segmentation paper on the ReDocRED dataset? | F1, Ign F1 |
What metrics were used to measure the ATLOP model in the Document-Level Relation Extraction with Adaptive Thresholding and Localized Context Pooling paper on the ReDocRED dataset? | F1, Ign F1 |
What metrics were used to measure the JEREX model in the An End-to-end Model for Entity-level Relation Extraction using Multi-instance Learning paper on the ReDocRED dataset? | F1, Ign F1 |
What metrics were used to measure the RELA model in the Sequence Generation with Label Augmentation for Relation Extraction paper on the Google RE dataset? | F1 |
What metrics were used to measure the DistilBERT model in the Comparison of biomedical relationship extraction methods and models for knowledge graph creation paper on the Dataset: Relationship extraction for knowledge graph creation from biomedical literature (Gene-Disease relationships) n dataset? | F1 |
What metrics were used to measure the ReRe model in the Revisiting the Negative Data of Distantly Supervised Relation Extraction paper on the NYT10-HRL dataset? | F1 |
What metrics were used to measure the ReRe (exact) model in the Revisiting the Negative Data of Distantly Supervised Relation Extraction paper on the NYT10-HRL dataset? | F1 |
What metrics were used to measure the TPLinker model in the TPLinker: Single-stage Joint Extraction of Entities and Relations Through Token Pair Linking paper on the NYT10-HRL dataset? | F1 |
What metrics were used to measure the TPLinker Wang et al. (2020)* model in the Revisiting the Negative Data of Distantly Supervised Relation Extraction paper on the NYT10-HRL dataset? | F1 |
What metrics were used to measure the TPLinker model in the TPLinker: Single-stage Joint Extraction of Entities and Relations Through Token Pair Linking paper on the NYT10-HRL dataset? | F1 |
What metrics were used to measure the TPLinker Wang et al. (2020)*(exact) model in the Revisiting the Negative Data of Distantly Supervised Relation Extraction paper on the NYT10-HRL dataset? | F1 |
What metrics were used to measure the CasRel (exact) model in the A Novel Cascade Binary Tagging Framework for Relational Triple Extraction paper on the NYT10-HRL dataset? | F1 |
What metrics were used to measure the CasRel (exact) model in the Revisiting the Negative Data of Distantly Supervised Relation Extraction paper on the NYT10-HRL dataset? | F1 |
What metrics were used to measure the HRL model in the A Hierarchical Framework for Relation Extraction with Reinforcement Learning paper on the NYT10-HRL dataset? | F1 |
What metrics were used to measure the HRL Takanobu et al. (2019) model in the Revisiting the Negative Data of Distantly Supervised Relation Extraction paper on the NYT10-HRL dataset? | F1 |
What metrics were used to measure the DistilBERT model in the Comparison of biomedical relationship extraction methods and models for knowledge graph creation paper on the Dataset: Relationship extraction for knowledge graph creation from biomedical literature (Gene-Disease relationships) dataset? | F1 |
What metrics were used to measure the T5 model in the Comparison of biomedical relationship extraction methods and models for knowledge graph creation paper on the Dataset: Relationship extraction for knowledge graph creation from biomedical literature (Gene-Disease relationships) dataset? | F1 |
What metrics were used to measure the SpanRel model in the Generalizing Natural Language Analysis through Span-relation Representations paper on the WLPC dataset? | F1 |
What metrics were used to measure the DyGIE model in the A General Framework for Information Extraction using Dynamic Span Graphs paper on the WLPC dataset? | F1 |
What metrics were used to measure the WDec model in the Effective Modeling of Encoder-Decoder Architecture for Joint Entity and Relation Extraction paper on the NYT29 dataset? | F1 |
What metrics were used to measure the PNDec model in the Effective Modeling of Encoder-Decoder Architecture for Joint Entity and Relation Extraction paper on the NYT29 dataset? | F1 |
What metrics were used to measure the HRLRE model in the A Hierarchical Framework for Relation Extraction with Reinforcement Learning paper on the NYT29 dataset? | F1 |
What metrics were used to measure the ReRe (exact) model in the Revisiting the Negative Data of Distantly Supervised Relation Extraction paper on the SKE dataset? | F1 |
What metrics were used to measure the CasRel (exact) model in the Revisiting the Negative Data of Distantly Supervised Relation Extraction paper on the SKE dataset? | F1 |
What metrics were used to measure the TPLinker (exact) model in the Revisiting the Negative Data of Distantly Supervised Relation Extraction paper on the SKE dataset? | F1 |
What metrics were used to measure the PL-Marker model in the Packed Levitated Marker for Entity and Relation Extraction paper on the ACE 2005 dataset? | RE Micro F1, RE+ Micro F1, NER Micro F1, Sentence Encoder, Relation classification F1, Cross Sentence, Relation F1 |
What metrics were used to measure the ASP+T5-3B model in the Autoregressive Structured Prediction with Language Models paper on the ACE 2005 dataset? | RE Micro F1, RE+ Micro F1, NER Micro F1, Sentence Encoder, Relation classification F1, Cross Sentence, Relation F1 |
What metrics were used to measure the GoLLIE model in the GoLLIE: Annotation Guidelines improve Zero-Shot Information-Extraction paper on the ACE 2005 dataset? | RE Micro F1, RE+ Micro F1, NER Micro F1, Sentence Encoder, Relation classification F1, Cross Sentence, Relation F1 |
What metrics were used to measure the Ours: cross-sentence ALB model in the A Frustratingly Easy Approach for Entity and Relation Extraction paper on the ACE 2005 dataset? | RE Micro F1, RE+ Micro F1, NER Micro F1, Sentence Encoder, Relation classification F1, Cross Sentence, Relation F1 |
What metrics were used to measure the Table-Sequence model in the Two are Better than One: Joint Entity and Relation Extraction with Table-Sequence Encoders paper on the ACE 2005 dataset? | RE Micro F1, RE+ Micro F1, NER Micro F1, Sentence Encoder, Relation classification F1, Cross Sentence, Relation F1 |
What metrics were used to measure the TriMF model in the A Trigger-Sense Memory Flow Framework for Joint Entity and Relation Extraction paper on the ACE 2005 dataset? | RE Micro F1, RE+ Micro F1, NER Micro F1, Sentence Encoder, Relation classification F1, Cross Sentence, Relation F1 |
What metrics were used to measure the TablERT model in the Named Entity Recognition and Relation Extraction using Enhanced Table Filling by Contextualized Representations paper on the ACE 2005 dataset? | RE Micro F1, RE+ Micro F1, NER Micro F1, Sentence Encoder, Relation classification F1, Cross Sentence, Relation F1 |
What metrics were used to measure the DYGIE++ model in the Entity, Relation, and Event Extraction with Contextualized Span Representations paper on the ACE 2005 dataset? | RE Micro F1, RE+ Micro F1, NER Micro F1, Sentence Encoder, Relation classification F1, Cross Sentence, Relation F1 |
What metrics were used to measure the DyGIE model in the A General Framework for Information Extraction using Dynamic Span Graphs paper on the ACE 2005 dataset? | RE Micro F1, RE+ Micro F1, NER Micro F1, Sentence Encoder, Relation classification F1, Cross Sentence, Relation F1 |
What metrics were used to measure the Hierarchical Multi-task model in the A Hierarchical Multi-task Approach for Learning Embeddings from Semantic Tasks paper on the ACE 2005 dataset? | RE Micro F1, RE+ Micro F1, NER Micro F1, Sentence Encoder, Relation classification F1, Cross Sentence, Relation F1 |
What metrics were used to measure the Attention model in the Going out on a limb: Joint Extraction of Entity Mentions and Relations without Dependency Trees paper on the ACE 2005 dataset? | RE Micro F1, RE+ Micro F1, NER Micro F1, Sentence Encoder, Relation classification F1, Cross Sentence, Relation F1 |
What metrics were used to measure the Joint w/ Global model in the Incremental Joint Extraction of Entity Mentions and Relations paper on the ACE 2005 dataset? | RE Micro F1, RE+ Micro F1, NER Micro F1, Sentence Encoder, Relation classification F1, Cross Sentence, Relation F1 |
What metrics were used to measure the MGE model in the A Multi-Gate Encoder for Joint Entity and Relation Extraction paper on the ACE 2005 dataset? | RE Micro F1, RE+ Micro F1, NER Micro F1, Sentence Encoder, Relation classification F1, Cross Sentence, Relation F1 |
What metrics were used to measure the PFN model in the A Partition Filter Network for Joint Entity and Relation Extraction paper on the ACE 2005 dataset? | RE Micro F1, RE+ Micro F1, NER Micro F1, Sentence Encoder, Relation classification F1, Cross Sentence, Relation F1 |
What metrics were used to measure the MRC4ERE++ model in the Asking Effective and Diverse Questions: A Machine Reading Comprehension based Framework for Joint Entity-Relation Extraction paper on the ACE 2005 dataset? | RE Micro F1, RE+ Micro F1, NER Micro F1, Sentence Encoder, Relation classification F1, Cross Sentence, Relation F1 |
What metrics were used to measure the Multi-turn QA model in the Entity-Relation Extraction as Multi-Turn Question Answering paper on the ACE 2005 dataset? | RE Micro F1, RE+ Micro F1, NER Micro F1, Sentence Encoder, Relation classification F1, Cross Sentence, Relation F1 |
What metrics were used to measure the MRT model in the Extracting Entities and Relations with Joint Minimum Risk Training paper on the ACE 2005 dataset? | RE Micro F1, RE+ Micro F1, NER Micro F1, Sentence Encoder, Relation classification F1, Cross Sentence, Relation F1 |
What metrics were used to measure the GCN model in the Joint Type Inference on Entities and Relations via Graph Convolutional Networks paper on the ACE 2005 dataset? | RE Micro F1, RE+ Micro F1, NER Micro F1, Sentence Encoder, Relation classification F1, Cross Sentence, Relation F1 |
What metrics were used to measure the Global model in the End-to-End Neural Relation Extraction with Global Optimization paper on the ACE 2005 dataset? | RE Micro F1, RE+ Micro F1, NER Micro F1, Sentence Encoder, Relation classification F1, Cross Sentence, Relation F1 |
What metrics were used to measure the SPTree model in the End-to-End Relation Extraction using LSTMs on Sequences and Tree Structures paper on the ACE 2005 dataset? | RE Micro F1, RE+ Micro F1, NER Micro F1, Sentence Encoder, Relation classification F1, Cross Sentence, Relation F1 |
What metrics were used to measure the Span-level model in the Span-Level Model for Relation Extraction paper on the ACE 2005 dataset? | RE Micro F1, RE+ Micro F1, NER Micro F1, Sentence Encoder, Relation classification F1, Cross Sentence, Relation F1 |
What metrics were used to measure the Dual Pointer Network(multi-head) model in the Dual Pointer Network for Fast Extraction of Multiple Relations in a Sentence paper on the ACE 2005 dataset? | RE Micro F1, RE+ Micro F1, NER Micro F1, Sentence Encoder, Relation classification F1, Cross Sentence, Relation F1 |
What metrics were used to measure the Dual Pointer Network model in the Relation Extraction among Multiple Entities Using a Dual Pointer Network with a Multi-Head Attention Mechanism paper on the ACE 2005 dataset? | RE Micro F1, RE+ Micro F1, NER Micro F1, Sentence Encoder, Relation classification F1, Cross Sentence, Relation F1 |
What metrics were used to measure the RNN+CNN model in the Combining Neural Networks and Log-linear Models to Improve Relation Extraction paper on the ACE 2005 dataset? | RE Micro F1, RE+ Micro F1, NER Micro F1, Sentence Encoder, Relation classification F1, Cross Sentence, Relation F1 |
What metrics were used to measure the Walk-based model model in the A Walk-based Model on Entity Graphs for Relation Extraction paper on the ACE 2005 dataset? | RE Micro F1, RE+ Micro F1, NER Micro F1, Sentence Encoder, Relation classification F1, Cross Sentence, Relation F1 |
What metrics were used to measure the CNN model in the Relation Extraction: Perspective from Convolutional Neural Networks paper on the ACE 2005 dataset? | RE Micro F1, RE+ Micro F1, NER Micro F1, Sentence Encoder, Relation classification F1, Cross Sentence, Relation F1 |
What metrics were used to measure the FCM model in the Improved Relation Extraction with Feature-Rich Compositional Embedding Models paper on the ACE 2005 dataset? | RE Micro F1, RE+ Micro F1, NER Micro F1, Sentence Encoder, Relation classification F1, Cross Sentence, Relation F1 |
What metrics were used to measure the HySPA (ours) w/ RoBERTa model in the HySPA: Hybrid Span Generation for Scalable Text-to-Graph Extraction paper on the ACE 2005 dataset? | RE Micro F1, RE+ Micro F1, NER Micro F1, Sentence Encoder, Relation classification F1, Cross Sentence, Relation F1 |
What metrics were used to measure the HySPA model in the HySPA: Hybrid Span Generation for Scalable Text-to-Graph Extraction paper on the ACE 2005 dataset? | RE Micro F1, RE+ Micro F1, NER Micro F1, Sentence Encoder, Relation classification F1, Cross Sentence, Relation F1 |
What metrics were used to measure the KGPOOL model in the KGPool: Dynamic Knowledge Graph Context Selection for Relation Extraction paper on the NYT Corpus dataset? | P@10%, P@30% |
What metrics were used to measure the RECON model in the RECON: Relation Extraction using Knowledge Graph Context in a Graph Neural Network paper on the NYT Corpus dataset? | P@10%, P@30% |
What metrics were used to measure the HRERE model in the Connecting Language and Knowledge with Heterogeneous Representations for Neural Relation Extraction paper on the NYT Corpus dataset? | P@10%, P@30% |
What metrics were used to measure the DSRE-VAE model in the Distantly Supervised Relation Extraction with Sentence Reconstruction and Knowledge Base Priors paper on the NYT Corpus dataset? | P@10%, P@30% |
What metrics were used to measure the RESIDE model in the RESIDE: Improving Distantly-Supervised Neural Relation Extraction using Side Information paper on the NYT Corpus dataset? | P@10%, P@30% |
What metrics were used to measure the PCNN+ATT model in the Neural Relation Extraction with Selective Attention over Instances paper on the NYT Corpus dataset? | P@10%, P@30% |
What metrics were used to measure the MIML-RE model in the Multi-instance Multi-label Learning for Relation Extraction paper on the NYT Corpus dataset? | P@10%, P@30% |
What metrics were used to measure the SP model in the Relation Classification as Two-way Span-Prediction paper on the SemEval-2010 Task 8 dataset? | F1 |
What metrics were used to measure the RIFRE model in the Representation Iterative Fusion based on Heterogeneous Graph Neural Network for Joint Entity and Relation Extraction paper on the SemEval-2010 Task 8 dataset? | F1 |
What metrics were used to measure the REDN model in the Downstream Model Design of Pre-trained Language Model for Relation Extraction Task paper on the SemEval-2010 Task 8 dataset? | F1 |
What metrics were used to measure the SPOT model in the SPOT: Knowledge-Enhanced Language Representations for Information Extraction paper on the SemEval-2010 Task 8 dataset? | F1 |
What metrics were used to measure the KLG model in the Reviewing Labels: Label Graph Network with Top-k Prediction Set for Relation Extraction paper on the SemEval-2010 Task 8 dataset? | F1 |
What metrics were used to measure the RELA model in the Sequence Generation with Label Augmentation for Relation Extraction paper on the SemEval-2010 Task 8 dataset? | F1 |
What metrics were used to measure the Skeleton-Aware BERT model in the Enhancing Relation Extraction Using Syntactic Indicators and Sentential Contexts paper on the SemEval-2010 Task 8 dataset? | F1 |
What metrics were used to measure the KnowPrompt model in the KnowPrompt: Knowledge-aware Prompt-tuning with Synergistic Optimization for Relation Extraction paper on the SemEval-2010 Task 8 dataset? | F1 |
What metrics were used to measure the LUKE model in the SPOT: Knowledge-Enhanced Language Representations for Information Extraction paper on the SemEval-2010 Task 8 dataset? | F1 |
What metrics were used to measure the EPGNN model in the Improving Relation Classification by Entity Pair Graph paper on the SemEval-2010 Task 8 dataset? | F1 |
What metrics were used to measure the RE-DMP + XLNet model in the Improving Relation Extraction through Syntax-induced Pre-training with Dependency Masking paper on the SemEval-2010 Task 8 dataset? | F1 |
What metrics were used to measure the A-GCN + BERT model in the Dependency-driven Relation Extraction with Attentive Graph Convolutional Networks paper on the SemEval-2010 Task 8 dataset? | F1 |
What metrics were used to measure the BERTEM+MTB model in the Matching the Blanks: Distributional Similarity for Relation Learning paper on the SemEval-2010 Task 8 dataset? | F1 |
What metrics were used to measure the BERT model in the SPOT: Knowledge-Enhanced Language Representations for Information Extraction paper on the SemEval-2010 Task 8 dataset? | F1 |
What metrics were used to measure the R-BERT model in the Enriching Pre-trained Language Model with Entity Information for Relation Classification paper on the SemEval-2010 Task 8 dataset? | F1 |
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