prompts stringlengths 81 413 | metrics_response stringlengths 0 371 |
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What metrics were used to measure the CCCapsNet model in the Compositional Coding Capsule Network with K-Means Routing for Text Classification paper on the DBpedia dataset? | Error |
What metrics were used to measure the VDCN model in the Very Deep Convolutional Networks for Text Classification paper on the DBpedia dataset? | Error |
What metrics were used to measure the FastText model in the Bag of Tricks for Efficient Text Classification paper on the DBpedia dataset? | Error |
What metrics were used to measure the SWEM-concat model in the Baseline Needs More Love: On Simple Word-Embedding-Based Models and Associated Pooling Mechanisms paper on the DBpedia dataset? | Error |
What metrics were used to measure the Char-level CNN model in the Character-level Convolutional Networks for Text Classification paper on the DBpedia dataset? | Error |
What metrics were used to measure the Seq2CNN(50) model in the Abstractive Text Classification Using Sequence-to-convolution Neural Networks paper on the DBpedia dataset? | Error |
What metrics were used to measure the ERNIE 2.0 model in the Transformers are Short Text Classifiers: A Study of Inductive Short Text Classifiers on Benchmarks and Real-world Datasets paper on the STOPS-2 dataset? | STOPS-2 |
What metrics were used to measure the Our proposed method Model Averaging(D + E + F) model in the A Unified System for Aggression Identification in English Code-Mixed and Uni-Lingual Texts paper on the Facebook Media dataset? | F1 (Hidden Test Set) |
What metrics were used to measure the LinearSVM+TFIDF model in the A Comparison of SVM against Pre-trained Language Models (PLMs) for Text Classification Tasks paper on the 20NEWS dataset? | Accuracy, F-measure, Precision, Recall |
What metrics were used to measure the RoBERTaGCN model in the BertGCN: Transductive Text Classification by Combining GCN and BERT paper on the 20NEWS dataset? | Accuracy, F-measure, Precision, Recall |
What metrics were used to measure the SSGC model in the Simple Spectral Graph Convolution paper on the 20NEWS dataset? | Accuracy, F-measure, Precision, Recall |
What metrics were used to measure the SGC model in the Simplifying Graph Convolutional Networks paper on the 20NEWS dataset? | Accuracy, F-measure, Precision, Recall |
What metrics were used to measure the SGCN model in the Simplifying Graph Convolutional Networks paper on the 20NEWS dataset? | Accuracy, F-measure, Precision, Recall |
What metrics were used to measure the RMDL (15 RDLs) model in the RMDL: Random Multimodel Deep Learning for Classification paper on the 20NEWS dataset? | Accuracy, F-measure, Precision, Recall |
What metrics were used to measure the Sparse Tensor Classifier model in the An Explainable Probabilistic Classifier for Categorical Data Inspired to Quantum Physics paper on the 20NEWS dataset? | Accuracy, F-measure, Precision, Recall |
What metrics were used to measure the GraphStar model in the Graph Star Net for Generalized Multi-Task Learning paper on the 20NEWS dataset? | Accuracy, F-measure, Precision, Recall |
What metrics were used to measure the NABoE-full model in the Neural Attentive Bag-of-Entities Model for Text Classification paper on the 20NEWS dataset? | Accuracy, F-measure, Precision, Recall |
What metrics were used to measure the Text GCN model in the Graph Convolutional Networks for Text Classification paper on the 20NEWS dataset? | Accuracy, F-measure, Precision, Recall |
What metrics were used to measure the SCDV-MS model in the Improving Document Classification with Multi-Sense Embeddings paper on the 20NEWS dataset? | Accuracy, F-measure, Precision, Recall |
What metrics were used to measure the TextEnt-full model in the Representation Learning of Entities and Documents from Knowledge Base Descriptions paper on the 20NEWS dataset? | Accuracy, F-measure, Precision, Recall |
What metrics were used to measure the SSNMF model in the Semi-supervised NMF Models for Topic Modeling in Learning Tasks paper on the 20NEWS dataset? | Accuracy, F-measure, Precision, Recall |
What metrics were used to measure the ApproxRepSet model in the Rep the Set: Neural Networks for Learning Set Representations paper on the 20NEWS dataset? | Accuracy, F-measure, Precision, Recall |
What metrics were used to measure the REL-RWMD k-NN model in the Speeding up Word Mover's Distance and its variants via properties of distances between embeddings paper on the 20NEWS dataset? | Accuracy, F-measure, Precision, Recall |
What metrics were used to measure the Orthogonalized Soft VSM model in the Text classification with word embedding regularization and soft similarity measure paper on the 20NEWS dataset? | Accuracy, F-measure, Precision, Recall |
What metrics were used to measure the Character-BERT+RS model in the Text Classification in the Wild: a Large-scale Long-tailed Name Normalization Dataset paper on the Lot-insts dataset? | Accuracy, Macro-F1 |
What metrics were used to measure the CD-V1 model in the Text Classification in the Wild: a Large-scale Long-tailed Name Normalization Dataset paper on the Lot-insts dataset? | Accuracy, Macro-F1 |
What metrics were used to measure the sCool model in the Text Classification in the Wild: a Large-scale Long-tailed Name Normalization Dataset paper on the Lot-insts dataset? | Accuracy, Macro-F1 |
What metrics were used to measure the FastText model in the Text Classification in the Wild: a Large-scale Long-tailed Name Normalization Dataset paper on the Lot-insts dataset? | Accuracy, Macro-F1 |
What metrics were used to measure the Naive Bayes model in the Text Classification in the Wild: a Large-scale Long-tailed Name Normalization Dataset paper on the Lot-insts dataset? | Accuracy, Macro-F1 |
What metrics were used to measure the BERT-based Ensembles model in the BERT-based Ensembles for Modeling Disclosure and Support in Conversational Social Media Text paper on the AffCon 2020 Emotion Detection dataset? | F1 score |
What metrics were used to measure the XLNet model in the XLNet: Generalized Autoregressive Pretraining for Language Understanding paper on the AG News dataset? | Error |
What metrics were used to measure the BERT-ITPT-FiT model in the How to Fine-Tune BERT for Text Classification? paper on the AG News dataset? | Error |
What metrics were used to measure the L MIXED model in the Revisiting LSTM Networks for Semi-Supervised Text Classification via Mixed Objective Function paper on the AG News dataset? | Error |
What metrics were used to measure the ULMFiT model in the Universal Language Model Fine-tuning for Text Classification paper on the AG News dataset? | Error |
What metrics were used to measure the DRNN model in the Disconnected Recurrent Neural Networks for Text Categorization paper on the AG News dataset? | Error |
What metrics were used to measure the DNC+CUW model in the Learning to Remember More with Less Memorization paper on the AG News dataset? | Error |
What metrics were used to measure the ULMFiT (Small data) model in the Sampling Bias in Deep Active Classification: An Empirical Study paper on the AG News dataset? | Error |
What metrics were used to measure the CNN model in the Supervised and Semi-Supervised Text Categorization using LSTM for Region Embeddings paper on the AG News dataset? | Error |
What metrics were used to measure the DPCNN model in the Deep Pyramid Convolutional Neural Networks for Text Categorization paper on the AG News dataset? | Error |
What metrics were used to measure the EXAM model in the Explicit Interaction Model towards Text Classification paper on the AG News dataset? | Error |
What metrics were used to measure the SWEM-concat model in the Baseline Needs More Love: On Simple Word-Embedding-Based Models and Associated Pooling Mechanisms paper on the AG News dataset? | Error |
What metrics were used to measure the Capsule-B model in the Investigating Capsule Networks with Dynamic Routing for Text Classification paper on the AG News dataset? | Error |
What metrics were used to measure the fastText model in the Bag of Tricks for Efficient Text Classification paper on the AG News dataset? | Error |
What metrics were used to measure the LEAM model in the Joint Embedding of Words and Labels for Text Classification paper on the AG News dataset? | Error |
What metrics were used to measure the CCCapsNet model in the Compositional Coding Capsule Network with K-Means Routing for Text Classification paper on the AG News dataset? | Error |
What metrics were used to measure the Balanced+bi-leaf-RNN model in the On Tree-Based Neural Sentence Modeling paper on the AG News dataset? | Error |
What metrics were used to measure the VDCN model in the Very Deep Convolutional Networks for Text Classification paper on the AG News dataset? | Error |
What metrics were used to measure the SVDCNN model in the Squeezed Very Deep Convolutional Neural Networks for Text Classification paper on the AG News dataset? | Error |
What metrics were used to measure the Char-level CNN model in the Character-level Convolutional Networks for Text Classification paper on the AG News dataset? | Error |
What metrics were used to measure the Seq2CNN with GWS(50) model in the Abstractive Text Classification Using Sequence-to-convolution Neural Networks paper on the AG News dataset? | Error |
What metrics were used to measure the ToWE-SG model in the Task-oriented Word Embedding for Text Classification paper on the AG News dataset? | Error |
What metrics were used to measure the oh-CNN + two LSTM tv-embed. model in the Supervised and Semi-Supervised Text Categorization using LSTM for Region Embeddings paper on the RCV1 dataset? | Accuracy, Macro F1, Micro F1, P@1, P@3, P@5, nDCG@1, nDCG@3, nDCG@5 |
What metrics were used to measure the HiLAP (bow-CNN) model in the Hierarchical Text Classification with Reinforced Label Assignment paper on the RCV1 dataset? | Accuracy, Macro F1, Micro F1, P@1, P@3, P@5, nDCG@1, nDCG@3, nDCG@5 |
What metrics were used to measure the MAGNET model in the MAGNET: Multi-Label Text Classification using Attention-based Graph Neural Network paper on the RCV1 dataset? | Accuracy, Macro F1, Micro F1, P@1, P@3, P@5, nDCG@1, nDCG@3, nDCG@5 |
What metrics were used to measure the NLP-Cap model in the Towards Scalable and Reliable Capsule Networks for Challenging NLP Applications paper on the RCV1 dataset? | Accuracy, Macro F1, Micro F1, P@1, P@3, P@5, nDCG@1, nDCG@3, nDCG@5 |
What metrics were used to measure the ULMFiT (pre-trained vocab, no gradual unfreezing) model in the Inferring the source of official texts: can SVM beat ULMFiT? paper on the DODF Data dataset? | Average F1, Weighted F1 |
What metrics were used to measure the SVM + word counts (pre-trained vocab) model in the Inferring the source of official texts: can SVM beat ULMFiT? paper on the DODF Data dataset? | Average F1, Weighted F1 |
What metrics were used to measure the SVM + tf-idf (no pre-trained vocab) model in the Inferring the source of official texts: can SVM beat ULMFiT? paper on the DODF Data dataset? | Average F1, Weighted F1 |
What metrics were used to measure the ULMFiT (no pre-trained vocab) model in the Inferring the source of official texts: can SVM beat ULMFiT? paper on the DODF Data dataset? | Average F1, Weighted F1 |
What metrics were used to measure the ULMFiT (pre-trained vocab) model in the Inferring the source of official texts: can SVM beat ULMFiT? paper on the DODF Data dataset? | Average F1, Weighted F1 |
What metrics were used to measure the VLAWE model in the Vector of Locally-Aggregated Word Embeddings (VLAWE): A Novel Document-level Representation paper on the MR dataset? | Accuracy |
What metrics were used to measure the DeBERTa model in the Transformers are Short Text Classifiers: A Study of Inductive Short Text Classifiers on Benchmarks and Real-world Datasets paper on the MR dataset? | Accuracy |
What metrics were used to measure the RoBERTaGCN model in the BertGCN: Transductive Text Classification by Combining GCN and BERT paper on the MR dataset? | Accuracy |
What metrics were used to measure the ERNIE 2.0 (optimized) model in the Transformers are Short Text Classifiers: A Study of Inductive Short Text Classifiers on Benchmarks and Real-world Datasets paper on the MR dataset? | Accuracy |
What metrics were used to measure the RoBERTa model in the Transformers are Short Text Classifiers: A Study of Inductive Short Text Classifiers on Benchmarks and Real-world Datasets paper on the MR dataset? | Accuracy |
What metrics were used to measure the ERNIE 2.0 model in the Transformers are Short Text Classifiers: A Study of Inductive Short Text Classifiers on Benchmarks and Real-world Datasets paper on the MR dataset? | Accuracy |
What metrics were used to measure the BERT model in the Transformers are Short Text Classifiers: A Study of Inductive Short Text Classifiers on Benchmarks and Real-world Datasets paper on the MR dataset? | Accuracy |
What metrics were used to measure the ALBERTv2 model in the Transformers are Short Text Classifiers: A Study of Inductive Short Text Classifiers on Benchmarks and Real-world Datasets paper on the MR dataset? | Accuracy |
What metrics were used to measure the DistilBERT model in the Transformers are Short Text Classifiers: A Study of Inductive Short Text Classifiers on Benchmarks and Real-world Datasets paper on the MR dataset? | Accuracy |
What metrics were used to measure the SSGC model in the Simple Spectral Graph Convolution paper on the MR dataset? | Accuracy |
What metrics were used to measure the DeBERTa model in the Transformers are Short Text Classifiers: A Study of Inductive Short Text Classifiers on Benchmarks and Real-world Datasets paper on the SST-2 dataset? | Accuracy |
What metrics were used to measure the BERT model in the Transformers are Short Text Classifiers: A Study of Inductive Short Text Classifiers on Benchmarks and Real-world Datasets paper on the SST-2 dataset? | Accuracy |
What metrics were used to measure the TRANS-BLSTM model in the TRANS-BLSTM: Transformer with Bidirectional LSTM for Language Understanding paper on the GLUE STSB dataset? | Accuracy, Spearmanr |
What metrics were used to measure the BERT-FP-LBL model in the A Unified Neural Network Model for Readability Assessment with Feature Projection and Length-Balanced Loss paper on the WeeBit (Readability Assessment) dataset? | Accuracy (5-fold) |
What metrics were used to measure the BART-RF-T1 hybrid model in the Pushing on Text Readability Assessment: A Transformer Meets Handcrafted Linguistic Features paper on the WeeBit (Readability Assessment) dataset? | Accuracy (5-fold) |
What metrics were used to measure the BERT model in the Supervised and Unsupervised Neural Approaches to Text Readability paper on the WeeBit (Readability Assessment) dataset? | Accuracy (5-fold) |
What metrics were used to measure the BERT + SVM (with Handcrafted Features) model in the Linguistic Features for Readability Assessment paper on the WeeBit (Readability Assessment) dataset? | Accuracy (5-fold) |
What metrics were used to measure the SVM (Support Vector Machine) with Handcrafted Features model in the Text Readability Assessment for Second Language Learners paper on the WeeBit (Readability Assessment) dataset? | Accuracy (5-fold) |
What metrics were used to measure the RoBERTaGCN model in the BertGCN: Transductive Text Classification by Combining GCN and BERT paper on the Ohsumed dataset? | Accuracy |
What metrics were used to measure the Our Model* model in the Text Level Graph Neural Network for Text Classification paper on the Ohsumed dataset? | Accuracy |
What metrics were used to measure the SGCN model in the Simplifying Graph Convolutional Networks paper on the Ohsumed dataset? | Accuracy |
What metrics were used to measure the SGC model in the Simplifying Graph Convolutional Networks paper on the Ohsumed dataset? | Accuracy |
What metrics were used to measure the SSGC model in the Simple Spectral Graph Convolution paper on the Ohsumed dataset? | Accuracy |
What metrics were used to measure the Text GCN model in the Graph Convolutional Networks for Text Classification paper on the Ohsumed dataset? | Accuracy |
What metrics were used to measure the GraphStar model in the Graph Star Net for Generalized Multi-Task Learning paper on the Ohsumed dataset? | Accuracy |
What metrics were used to measure the ApproxRepSet model in the Rep the Set: Neural Networks for Learning Set Representations paper on the Ohsumed dataset? | Accuracy |
What metrics were used to measure the REL-RWMD k-NN model in the Speeding up Word Mover's Distance and its variants via properties of distances between embeddings paper on the Ohsumed dataset? | Accuracy |
What metrics were used to measure the CNN+Lowercased model in the On the Role of Text Preprocessing in Neural Network Architectures: An Evaluation Study on Text Categorization and Sentiment Analysis paper on the Ohsumed dataset? | Accuracy |
What metrics were used to measure the Our proposed method Model Averaging(D + E + F) model in the A Unified System for Aggression Identification in English Code-Mixed and Uni-Lingual Texts paper on the Twitter-US dataset? | F1 (Hidden Test Set) |
What metrics were used to measure the DeBERTa model in the Transformers are Short Text Classifiers: A Study of Inductive Short Text Classifiers on Benchmarks and Real-world Datasets paper on the R8 dataset? | Accuracy, F-measure |
What metrics were used to measure the C-BERT (ESGNN + BERT) model in the Transformers are Short Text Classifiers: A Study of Inductive Short Text Classifiers on Benchmarks and Real-world Datasets paper on the R8 dataset? | Accuracy, F-measure |
What metrics were used to measure the ESGNN model in the Transformers are Short Text Classifiers: A Study of Inductive Short Text Classifiers on Benchmarks and Real-world Datasets paper on the R8 dataset? | Accuracy, F-measure |
What metrics were used to measure the RoBERTaGCN model in the BertGCN: Transductive Text Classification by Combining GCN and BERT paper on the R8 dataset? | Accuracy, F-measure |
What metrics were used to measure the BERT model in the Transformers are Short Text Classifiers: A Study of Inductive Short Text Classifiers on Benchmarks and Real-world Datasets paper on the R8 dataset? | Accuracy, F-measure |
What metrics were used to measure the SGNN model in the Transformers are Short Text Classifiers: A Study of Inductive Short Text Classifiers on Benchmarks and Real-world Datasets paper on the R8 dataset? | Accuracy, F-measure |
What metrics were used to measure the ERNIE 2.0 model in the Transformers are Short Text Classifiers: A Study of Inductive Short Text Classifiers on Benchmarks and Real-world Datasets paper on the R8 dataset? | Accuracy, F-measure |
What metrics were used to measure the DistilBERT model in the Transformers are Short Text Classifiers: A Study of Inductive Short Text Classifiers on Benchmarks and Real-world Datasets paper on the R8 dataset? | Accuracy, F-measure |
What metrics were used to measure the Our Model* model in the Text Level Graph Neural Network for Text Classification paper on the R8 dataset? | Accuracy, F-measure |
What metrics were used to measure the ALBERTv2 model in the Transformers are Short Text Classifiers: A Study of Inductive Short Text Classifiers on Benchmarks and Real-world Datasets paper on the R8 dataset? | Accuracy, F-measure |
What metrics were used to measure the TM-Glove model in the Enhancing Interpretable Clauses Semantically using Pretrained Word Representation paper on the R8 dataset? | Accuracy, F-measure |
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