prompts stringlengths 81 413 | metrics_response stringlengths 0 371 |
|---|---|
What metrics were used to measure the HGCN model in the Learn from Structural Scope: Improving Aspect-Level Sentiment Analysis with Hybrid Graph Convolutional Networks paper on the Rest14 dataset? | Acc |
What metrics were used to measure the gpt-3.5 finetuned model in the Large language models for aspect-based sentiment analysis paper on the SemEval 2014 Task 4 Subtask 1+2 dataset? | F1 |
What metrics were used to measure the InstructABSA model in the InstructABSA: Instruction Learning for Aspect Based Sentiment Analysis paper on the SemEval 2014 Task 4 Subtask 1+2 dataset? | F1 |
What metrics were used to measure the FS-ABSA model in the A Simple yet Effective Framework for Few-Shot Aspect-Based Sentiment Analysis paper on the SemEval 2014 Task 4 Subtask 1+2 dataset? | F1 |
What metrics were used to measure the GRACE model in the GRACE: Gradient Harmonized and Cascaded Labeling for Aspect-based Sentiment Analysis paper on the SemEval 2014 Task 4 Subtask 1+2 dataset? | F1 |
What metrics were used to measure the SPAN model in the Open-Domain Targeted Sentiment Analysis via Span-Based Extraction and Classification paper on the SemEval 2014 Task 4 Subtask 1+2 dataset? | F1 |
What metrics were used to measure the RACL-BERT model in the Relation-Aware Collaborative Learning for Unified Aspect-Based Sentiment Analysis paper on the SemEval 2014 Task 4 Subtask 1+2 dataset? | F1 |
What metrics were used to measure the BERT-E2E-ABSA model in the Exploiting BERT for End-to-End Aspect-based Sentiment Analysis paper on the SemEval 2014 Task 4 Subtask 1+2 dataset? | F1 |
What metrics were used to measure the DOER model in the DOER: Dual Cross-Shared RNN for Aspect Term-Polarity Co-Extraction paper on the SemEval 2014 Task 4 Subtask 1+2 dataset? | F1 |
What metrics were used to measure the IMN model in the An Interactive Multi-Task Learning Network for End-to-End Aspect-Based Sentiment Analysis paper on the SemEval 2014 Task 4 Subtask 1+2 dataset? | F1 |
What metrics were used to measure the E2E-TBSA model in the A Unified Model for Opinion Target Extraction and Target Sentiment Prediction paper on the SemEval 2014 Task 4 Subtask 1+2 dataset? | F1 |
What metrics were used to measure the MvP model in the MvP: Multi-view Prompting Improves Aspect Sentiment Tuple Prediction paper on the ACOS dataset? | F1 (Laptop), F1 (Restaurant) |
What metrics were used to measure the MvP (muilti-task) model in the MvP: Multi-view Prompting Improves Aspect Sentiment Tuple Prediction paper on the ACOS dataset? | F1 (Laptop), F1 (Restaurant) |
What metrics were used to measure the DLO model in the Improving Aspect Sentiment Quad Prediction via Template-Order Data Augmentation paper on the ACOS dataset? | F1 (Laptop), F1 (Restaurant) |
What metrics were used to measure the Paraphrase model in the Aspect Sentiment Quad Prediction as Paraphrase Generation paper on the ACOS dataset? | F1 (Laptop), F1 (Restaurant) |
What metrics were used to measure the UnifiedABSA (multi-task) model in the UnifiedABSA: A Unified ABSA Framework Based on Multi-task Instruction Tuning paper on the ACOS dataset? | F1 (Laptop), F1 (Restaurant) |
What metrics were used to measure the Extract-Classify model in the Aspect-Category-Opinion-Sentiment Quadruple Extraction with Implicit Aspects and Opinions paper on the ACOS dataset? | F1 (Laptop), F1 (Restaurant) |
What metrics were used to measure the TAS-BERT model in the Aspect Sentiment Quad Prediction as Paraphrase Generation paper on the ACOS dataset? | F1 (Laptop), F1 (Restaurant) |
What metrics were used to measure the ChatGPT (gpt-3.5-turbo, few-shot) model in the MvP: Multi-view Prompting Improves Aspect Sentiment Tuple Prediction paper on the ACOS dataset? | F1 (Laptop), F1 (Restaurant) |
What metrics were used to measure the ChatGPT (gpt-3.5-turbo, zero-shot) model in the MvP: Multi-view Prompting Improves Aspect Sentiment Tuple Prediction paper on the ACOS dataset? | F1 (Laptop), F1 (Restaurant) |
What metrics were used to measure the BERT-IL Finetuned model in the Does BERT Understand Sentiment? Leveraging Comparisons Between Contextual and Non-Contextual Embeddings to Improve Aspect-Based Sentiment Models paper on the SemEval-2016 Task 5 Subtask 1 dataset? | Restaurant (Acc) |
What metrics were used to measure the HAABSA model in the A Hybrid Approach for Aspect-Based Sentiment Analysis Using a Lexicalized Domain Ontology and Attentional Neural Models paper on the SemEval-2016 Task 5 Subtask 1 dataset? | Restaurant (Acc) |
What metrics were used to measure the HAABSA++ model in the A Hybrid Approach for Aspect-Based Sentiment Analysis Using Deep Contextual Word Embeddings and Hierarchical Attention paper on the SemEval-2016 Task 5 Subtask 1 dataset? | Restaurant (Acc) |
What metrics were used to measure the RGAT+ model in the Investigating Typed Syntactic Dependencies for Targeted Sentiment Classification Using Graph Attention Neural Network paper on the MAMS dataset? | Acc, Macro-F1 |
What metrics were used to measure the TGCN + BERT model in the Aspect-based Sentiment Analysis with Type-aware Graph Convolutional Networks and Layer Ensemble paper on the MAMS dataset? | Acc, Macro-F1 |
What metrics were used to measure the CapsNet-BERT model in the A Challenge Dataset and Effective Models for Aspect-Based Sentiment Analysis paper on the MAMS dataset? | Acc, Macro-F1 |
What metrics were used to measure the CapsNet-BERT-DR model in the A Challenge Dataset and Effective Models for Aspect-Based Sentiment Analysis paper on the MAMS dataset? | Acc, Macro-F1 |
What metrics were used to measure the HGCN model in the Learn from Structural Scope: Improving Aspect-Level Sentiment Analysis with Hybrid Graph Convolutional Networks paper on the Lap14 dataset? | Acc |
What metrics were used to measure the HAABSA++ model in the A Hybrid Approach for Aspect-Based Sentiment Analysis Using Deep Contextual Word Embeddings and Hierarchical Attention paper on the SemEval 2015 Task 12 dataset? | Restaurant (Acc) |
What metrics were used to measure the InstructABSA model in the InstructABSA: Instruction Learning for Aspect Based Sentiment Analysis paper on the SemEval 2014 Task 4 Laptop dataset? | F1 |
What metrics were used to measure the FS-ABSA model in the A Simple yet Effective Framework for Few-Shot Aspect-Based Sentiment Analysis paper on the SemEval 2014 Task 4 Laptop dataset? | F1 |
What metrics were used to measure the SPAN model in the Open-Domain Targeted Sentiment Analysis via Span-Based Extraction and Classification paper on the SemEval 2014 Task 4 Laptop dataset? | F1 |
What metrics were used to measure the RACL-BERT model in the Relation-Aware Collaborative Learning for Unified Aspect-Based Sentiment Analysis paper on the SemEval 2014 Task 4 Laptop dataset? | F1 |
What metrics were used to measure the BERT-E2E-ABSA model in the Exploiting BERT for End-to-End Aspect-based Sentiment Analysis paper on the SemEval 2014 Task 4 Laptop dataset? | F1 |
What metrics were used to measure the DOER model in the DOER: Dual Cross-Shared RNN for Aspect Term-Polarity Co-Extraction paper on the SemEval 2014 Task 4 Laptop dataset? | F1 |
What metrics were used to measure the IMN model in the An Interactive Multi-Task Learning Network for End-to-End Aspect-Based Sentiment Analysis paper on the SemEval 2014 Task 4 Laptop dataset? | F1 |
What metrics were used to measure the E2E-TBSA model in the A Unified Model for Opinion Target Extraction and Target Sentiment Prediction paper on the SemEval 2014 Task 4 Laptop dataset? | F1 |
What metrics were used to measure the Double-propagation model in the paper on the SemEval 2014 Task 4 Laptop dataset? | F1 |
What metrics were used to measure the MvP (multi-task) model in the MvP: Multi-view Prompting Improves Aspect Sentiment Tuple Prediction paper on the ASTE dataset? | F1 (L14), F1(R14), F1 (R15), F1 (R16) |
What metrics were used to measure the Seq2Path model in the Seq2Path: Generating Sentiment Tuples as Paths of a Tree paper on the ASTE dataset? | F1 (L14), F1(R14), F1 (R15), F1 (R16) |
What metrics were used to measure the MvP model in the MvP: Multi-view Prompting Improves Aspect Sentiment Tuple Prediction paper on the ASTE dataset? | F1 (L14), F1(R14), F1 (R15), F1 (R16) |
What metrics were used to measure the UIE model in the Unified Structure Generation for Universal Information Extraction paper on the ASTE dataset? | F1 (L14), F1(R14), F1 (R15), F1 (R16) |
What metrics were used to measure the AugABSA model in the Generative Data Augmentation for Aspect Sentiment Quad Prediction paper on the ASTE dataset? | F1 (L14), F1(R14), F1 (R15), F1 (R16) |
What metrics were used to measure the LEGO-ABSA (multi-task) model in the LEGO-ABSA: A Prompt-based Task Assemblable Unified Generative Framework for Multi-task Aspect-based Sentiment Analysis paper on the ASTE dataset? | F1 (L14), F1(R14), F1 (R15), F1 (R16) |
What metrics were used to measure the DLO model in the Improving Aspect Sentiment Quad Prediction via Template-Order Data Augmentation paper on the ASTE dataset? | F1 (L14), F1(R14), F1 (R15), F1 (R16) |
What metrics were used to measure the Paraphrase model in the Aspect Sentiment Quad Prediction as Paraphrase Generation paper on the ASTE dataset? | F1 (L14), F1(R14), F1 (R15), F1 (R16) |
What metrics were used to measure the GAS model in the Towards Generative Aspect-Based Sentiment Analysis paper on the ASTE dataset? | F1 (L14), F1(R14), F1 (R15), F1 (R16) |
What metrics were used to measure the ChatGPT (gpt-3.5-turbo, few-shot) model in the MvP: Multi-view Prompting Improves Aspect Sentiment Tuple Prediction paper on the ASTE dataset? | F1 (L14), F1(R14), F1 (R15), F1 (R16) |
What metrics were used to measure the ChatGPT (gpt-3.5-turbo, zero-shot) model in the MvP: Multi-view Prompting Improves Aspect Sentiment Tuple Prediction paper on the ASTE dataset? | F1 (L14), F1(R14), F1 (R15), F1 (R16) |
What metrics were used to measure the MvP (multi-task) model in the MvP: Multi-view Prompting Improves Aspect Sentiment Tuple Prediction paper on the TASD dataset? | F1 (R15), F1 (R16) |
What metrics were used to measure the MvP model in the MvP: Multi-view Prompting Improves Aspect Sentiment Tuple Prediction paper on the TASD dataset? | F1 (R15), F1 (R16) |
What metrics were used to measure the Paraphrase model in the Aspect Sentiment Quad Prediction as Paraphrase Generation paper on the TASD dataset? | F1 (R15), F1 (R16) |
What metrics were used to measure the DLO model in the Improving Aspect Sentiment Quad Prediction via Template-Order Data Augmentation paper on the TASD dataset? | F1 (R15), F1 (R16) |
What metrics were used to measure the LEGO-ABSA (multi-task) model in the LEGO-ABSA: A Prompt-based Task Assemblable Unified Generative Framework for Multi-task Aspect-based Sentiment Analysis paper on the TASD dataset? | F1 (R15), F1 (R16) |
What metrics were used to measure the GAS model in the Towards Generative Aspect-Based Sentiment Analysis paper on the TASD dataset? | F1 (R15), F1 (R16) |
What metrics were used to measure the TAS-BERT model in the Aspect Sentiment Quad Prediction as Paraphrase Generation paper on the TASD dataset? | F1 (R15), F1 (R16) |
What metrics were used to measure the ChatGPT (gpt-3.5-turbo, few-shot) model in the MvP: Multi-view Prompting Improves Aspect Sentiment Tuple Prediction paper on the TASD dataset? | F1 (R15), F1 (R16) |
What metrics were used to measure the ChatGPT (gpt-3.5-turbo, zero-shot) model in the MvP: Multi-view Prompting Improves Aspect Sentiment Tuple Prediction paper on the TASD dataset? | F1 (R15), F1 (R16) |
What metrics were used to measure the HAABSA model in the A Hybrid Approach for Aspect-Based Sentiment Analysis Using a Lexicalized Domain Ontology and Attentional Neural Models paper on the SemEval 2015 Task 12 dataset? | Restaurant (Acc) |
What metrics were used to measure the InstructABSA model in the InstructABSA: Instruction Learning for Aspect Based Sentiment Analysis paper on the SemEval 2014 Task 4 Sub Task 1 dataset? | Laptop (F1), Restaurant (F1) |
What metrics were used to measure the BERT-PT model in the BERT Post-Training for Review Reading Comprehension and Aspect-based Sentiment Analysis paper on the SemEval 2014 Task 4 Sub Task 1 dataset? | Laptop (F1), Restaurant (F1) |
What metrics were used to measure the SyMux model in the Inheriting the Wisdom of Predecessors: A Multiplex Cascade Framework for Unified Aspect-based Sentiment Analysis paper on the SemEval 2014 Task 4 Sub Task 1 dataset? | Laptop (F1), Restaurant (F1) |
What metrics were used to measure the RNCRF model in the Recursive Neural Conditional Random Fields for Aspect-based Sentiment Analysis paper on the SemEval 2014 Task 4 Sub Task 1 dataset? | Laptop (F1), Restaurant (F1) |
What metrics were used to measure the BERT-pair-QA-B model in the Utilizing BERT for Aspect-Based Sentiment Analysis via Constructing Auxiliary Sentence paper on the SemEval 2014 Task 4 Subtask 4 dataset? | Accuracy (3-way), Accuracy (4-way), Binary Accuracy |
What metrics were used to measure the ATLX model in the SemEval-2014 Task 4: Aspect Based Sentiment Analysis paper on the SemEval 2014 Task 4 Subtask 4 dataset? | Accuracy (3-way), Accuracy (4-way), Binary Accuracy |
What metrics were used to measure the HGCN model in the Learn from Structural Scope: Improving Aspect-Level Sentiment Analysis with Hybrid Graph Convolutional Networks paper on the Rest15 dataset? | Acc |
What metrics were used to measure the BERT-pair-QA-B model in the Utilizing BERT for Aspect-Based Sentiment Analysis via Constructing Auxiliary Sentence paper on the Sentihood dataset? | Aspect, Sentiment |
What metrics were used to measure the BERT-pair-QA-M model in the Utilizing BERT for Aspect-Based Sentiment Analysis via Constructing Auxiliary Sentence paper on the Sentihood dataset? | Aspect, Sentiment |
What metrics were used to measure the Liu et al. model in the Recurrent Entity Networks with Delayed Memory Update for Targeted Aspect-based Sentiment Analysis paper on the Sentihood dataset? | Aspect, Sentiment |
What metrics were used to measure the Sentic LSTM + TA + SA model in the Targeted Aspect-Based Sentiment Analysis via Embedding Commonsense Knowledge into an Attentive LSTM paper on the Sentihood dataset? | Aspect, Sentiment |
What metrics were used to measure the LSTM-LOC model in the SentiHood: Targeted Aspect Based Sentiment Analysis Dataset for Urban Neighbourhoods paper on the Sentihood dataset? | Aspect, Sentiment |
What metrics were used to measure the FACTOR model in the Detecting Deepfakes Without Seeing Any paper on the FakeAVCeleb dataset? | ROC AUC, AP, Accuracy (%) |
What metrics were used to measure the RealForensics model in the Leveraging Real Talking Faces via Self-Supervision for Robust Forgery Detection paper on the FakeAVCeleb dataset? | ROC AUC, AP, Accuracy (%) |
What metrics were used to measure the AVAD model in the Self-Supervised Video Forensics by Audio-Visual Anomaly Detection paper on the FakeAVCeleb dataset? | ROC AUC, AP, Accuracy (%) |
What metrics were used to measure the FTCN model in the Exploring Temporal Coherence for More General Video Face Forgery Detection paper on the FakeAVCeleb dataset? | ROC AUC, AP, Accuracy (%) |
What metrics were used to measure the LipForensics model in the Lips Don't Lie: A Generalisable and Robust Approach to Face Forgery Detection paper on the FakeAVCeleb dataset? | ROC AUC, AP, Accuracy (%) |
What metrics were used to measure the AD DFD model in the Joint Audio-Visual Deepfake Detection paper on the FakeAVCeleb dataset? | ROC AUC, AP, Accuracy (%) |
What metrics were used to measure the Xception model in the FaceForensics++: Learning to Detect Manipulated Facial Images paper on the FakeAVCeleb dataset? | ROC AUC, AP, Accuracy (%) |
What metrics were used to measure the AVBYOL model in the Leveraging Real Talking Faces via Self-Supervision for Robust Forgery Detection paper on the FakeAVCeleb dataset? | ROC AUC, AP, Accuracy (%) |
What metrics were used to measure the VQGAN model in the Taming Transformers for High-Resolution Image Synthesis paper on the FakeAVCeleb dataset? | ROC AUC, AP, Accuracy (%) |
What metrics were used to measure the AV-Lip-Sync Model model in the Lip Sync Matters: A Novel Multimodal Forgery Detector paper on the FakeAVCeleb dataset? | ROC AUC, AP, Accuracy (%) |
What metrics were used to measure the Multimodal Ensemble Model model in the Lip Sync Matters: A Novel Multimodal Forgery Detector paper on the FakeAVCeleb dataset? | ROC AUC, AP, Accuracy (%) |
What metrics were used to measure the Cross Efficient Vision Transformer model in the Combining EfficientNet and Vision Transformers for Video Deepfake Detection paper on the DFDC dataset? | AUC, LogLoss |
What metrics were used to measure the Efficient Vision Transformer model in the Combining EfficientNet and Vision Transformers for Video Deepfake Detection paper on the DFDC dataset? | AUC, LogLoss |
What metrics were used to measure the EfficientNetB4 + EfficientNetB4ST + B4Att model in the Video Face Manipulation Detection Through Ensemble of CNNs paper on the DFDC dataset? | AUC, LogLoss |
What metrics were used to measure the EfficientNetB4 + EfficientNetB4ST + B4Att + B4AttST model in the Video Face Manipulation Detection Through Ensemble of CNNs paper on the FaceForensics++ dataset? | AUC, LogLoss |
What metrics were used to measure the MARLIN (ViT-L) model in the MARLIN: Masked Autoencoder for facial video Representation LearnINg paper on the FaceForensics++ dataset? | AUC, LogLoss |
What metrics were used to measure the MARLIN (ViT-B) model in the MARLIN: Masked Autoencoder for facial video Representation LearnINg paper on the FaceForensics++ dataset? | AUC, LogLoss |
What metrics were used to measure the MARLIN (ViT-S) model in the MARLIN: Masked Autoencoder for facial video Representation LearnINg paper on the FaceForensics++ dataset? | AUC, LogLoss |
What metrics were used to measure the EfficientNetB4 + EfficientNetB4ST + B4AttST model in the Video Face Manipulation Detection Through Ensemble of CNNs paper on the FaceForensics++ dataset? | AUC, LogLoss |
What metrics were used to measure the BA-TFD model in the Do You Really Mean That? Content Driven Audio-Visual Deepfake Dataset and Multimodal Method for Temporal Forgery Localization paper on the LAV-DF dataset? | AUC |
What metrics were used to measure the XceptionNet model in the FaceForensics++: Learning to Detect Manipulated Facial Images paper on the FaceForensics dataset? | DF, FS, FSF, NT, Real, Total Accuracy |
What metrics were used to measure the ClaSP model in the ClaSP - Time Series Segmentation paper on the TSSB dataset? | Relative Change Point Distance, Covering |
What metrics were used to measure the BOCD model in the Bayesian Online Changepoint Detection paper on the TSSB dataset? | Relative Change Point Distance, Covering |
What metrics were used to measure the Parameter-free ClaSP model in the ClaSP -- Parameter-free Time Series Segmentation paper on the TSSB dataset? | Relative Change Point Distance, Covering |
What metrics were used to measure the ESPRESSO model in the ESPRESSO: Entropy and ShaPe awaRe timE-Series SegmentatiOn for processing heterogeneous sensor data paper on the TSSB dataset? | Relative Change Point Distance, Covering |
What metrics were used to measure the OptEnsemble CPDE algorithm (Min+MinMax/Rank) model in the Unsupervised Offline Changepoint Detection Ensembles paper on the TEP dataset? | NAB (standard), NAB (lowFP), NAB (LowFN) |
What metrics were used to measure the BinSegEnsemble CPDE algorithm (Min+MinMax/Rank) model in the Unsupervised Offline Changepoint Detection Ensembles paper on the TEP dataset? | NAB (standard), NAB (lowFP), NAB (LowFN) |
What metrics were used to measure the BinSeg CPD algorithm (Mahalanobis metric) model in the Unsupervised Offline Changepoint Detection Ensembles paper on the TEP dataset? | NAB (standard), NAB (lowFP), NAB (LowFN) |
What metrics were used to measure the Opt CPD algorithm (Mahalanobis metric) model in the Unsupervised Offline Changepoint Detection Ensembles paper on the TEP dataset? | NAB (standard), NAB (lowFP), NAB (LowFN) |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.