prompts stringlengths 81 413 | metrics_response stringlengths 0 371 |
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What metrics were used to measure the RNTN model in the Recursive Deep Models for Semantic Compositionality Over a Sentiment Treebank paper on the SST-5 Fine-grained classification dataset? | Accuracy |
What metrics were used to measure the GRU-RNN-WORD2VEC model in the All-but-the-Top: Simple and Effective Postprocessing for Word Representations paper on the SST-5 Fine-grained classification dataset? | Accuracy |
What metrics were used to measure the Joined Model Multi-tasking model in the Exploring Joint Neural Model for Sentence Level Discourse Parsing and Sentiment Analysis paper on the SST-5 Fine-grained classification dataset? | Accuracy |
What metrics were used to measure the MV-RNN model in the Recursive Deep Models for Semantic Compositionality Over a Sentiment Treebank paper on the SST-5 Fine-grained classification dataset? | Accuracy |
What metrics were used to measure the GloVe+Emo2Vec model in the Emo2Vec: Learning Generalized Emotion Representation by Multi-task Training paper on the SST-5 Fine-grained classification dataset? | Accuracy |
What metrics were used to measure the Emo2Vec model in the Emo2Vec: Learning Generalized Emotion Representation by Multi-task Training paper on the SST-5 Fine-grained classification dataset? | Accuracy |
What metrics were used to measure the MA-BERT model in the MA-BERT: Learning Representation by Incorporating Multi-Attribute Knowledge in Transformers paper on the User and product information dataset? | IMDB (Acc), Yelp 2013 (Acc), Yelp 2014 (Acc) |
What metrics were used to measure the BiLSTM+CHIM model in the Rethinking Attribute Representation and Injection for Sentiment Classification paper on the User and product information dataset? | IMDB (Acc), Yelp 2013 (Acc), Yelp 2014 (Acc) |
What metrics were used to measure the HUAPA model in the Improving Review Representations with User Attention and Product Attention for Sentiment Classification paper on the User and product information dataset? | IMDB (Acc), Yelp 2013 (Acc), Yelp 2014 (Acc) |
What metrics were used to measure the HCSC model in the Cold-Start Aware User and Product Attention for Sentiment Classification paper on the User and product information dataset? | IMDB (Acc), Yelp 2013 (Acc), Yelp 2014 (Acc) |
What metrics were used to measure the CMA model in the Cascading Multiway Attentions for Document-level Sentiment Classification paper on the User and product information dataset? | IMDB (Acc), Yelp 2013 (Acc), Yelp 2014 (Acc) |
What metrics were used to measure the DUPMN model in the Dual Memory Network Model for Biased Product Review Classification paper on the User and product information dataset? | IMDB (Acc), Yelp 2013 (Acc), Yelp 2014 (Acc) |
What metrics were used to measure the NSC model in the Neural Sentiment Classification with User and Product Attention paper on the User and product information dataset? | IMDB (Acc), Yelp 2013 (Acc), Yelp 2014 (Acc) |
What metrics were used to measure the UPDMN model in the Capturing User and Product Information for Document Level Sentiment Analysis with Deep Memory Network paper on the User and product information dataset? | IMDB (Acc), Yelp 2013 (Acc), Yelp 2014 (Acc) |
What metrics were used to measure the UPNN model in the Learning Semantic Representations of Users and Products for Document Level Sentiment Classification paper on the User and product information dataset? | IMDB (Acc), Yelp 2013 (Acc), Yelp 2014 (Acc) |
What metrics were used to measure the BiLSTM + linear-basis-cust model in the Categorical Metadata Representation for Customized Text Classification paper on the User and product information dataset? | IMDB (Acc), Yelp 2013 (Acc), Yelp 2014 (Acc) |
What metrics were used to measure the AEN-BERT model in the Attentional Encoder Network for Targeted Sentiment Classification paper on the Twitter dataset? | Accuracy |
What metrics were used to measure the BERT-SPC model in the Attentional Encoder Network for Targeted Sentiment Classification paper on the Twitter dataset? | Accuracy |
What metrics were used to measure the AEN-GloVe model in the Attentional Encoder Network for Targeted Sentiment Classification paper on the Twitter dataset? | Accuracy |
What metrics were used to measure the SVM model in the Arabic Multi-Dialect Segmentation: bi-LSTM-CRF vs. SVM paper on the DynaSent dataset? | 10 fold Cross validation |
What metrics were used to measure the xlmindic-base-uniscript model in the Does Transliteration Help Multilingual Language Modeling? paper on the IITP Movie Reviews Sentiment dataset? | Accuracy |
What metrics were used to measure the xlmindic-base-multiscript model in the Does Transliteration Help Multilingual Language Modeling? paper on the IITP Movie Reviews Sentiment dataset? | Accuracy |
What metrics were used to measure the IndicBERT Base model in the IndicNLPSuite: Monolingual Corpora, Evaluation Benchmarks and Pre-trained Multilingual Language Models for Indian Languages paper on the IITP Movie Reviews Sentiment dataset? | Accuracy |
What metrics were used to measure the T5-11B model in the Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer paper on the SST-2 Binary classification dataset? | Accuracy, Dev Accuracy |
What metrics were used to measure the MT-DNN-SMART model in the SMART: Robust and Efficient Fine-Tuning for Pre-trained Natural Language Models through Principled Regularized Optimization paper on the SST-2 Binary classification dataset? | Accuracy, Dev Accuracy |
What metrics were used to measure the T5-3B model in the Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer paper on the SST-2 Binary classification dataset? | Accuracy, Dev Accuracy |
What metrics were used to measure the MUPPET Roberta Large model in the Muppet: Massive Multi-task Representations with Pre-Finetuning paper on the SST-2 Binary classification dataset? | Accuracy, Dev Accuracy |
What metrics were used to measure the ALBERT model in the ALBERT: A Lite BERT for Self-supervised Learning of Language Representations paper on the SST-2 Binary classification dataset? | Accuracy, Dev Accuracy |
What metrics were used to measure the StructBERTRoBERTa ensemble model in the StructBERT: Incorporating Language Structures into Pre-training for Deep Language Understanding paper on the SST-2 Binary classification dataset? | Accuracy, Dev Accuracy |
What metrics were used to measure the XLNet (single model) model in the XLNet: Generalized Autoregressive Pretraining for Language Understanding paper on the SST-2 Binary classification dataset? | Accuracy, Dev Accuracy |
What metrics were used to measure the ELECTRA model in the ELECTRA: Pre-training Text Encoders as Discriminators Rather Than Generators paper on the SST-2 Binary classification dataset? | Accuracy, Dev Accuracy |
What metrics were used to measure the EFL model in the Entailment as Few-Shot Learner paper on the SST-2 Binary classification dataset? | Accuracy, Dev Accuracy |
What metrics were used to measure the XLNet-Large (ensemble) model in the XLNet: Generalized Autoregressive Pretraining for Language Understanding paper on the SST-2 Binary classification dataset? | Accuracy, Dev Accuracy |
What metrics were used to measure the RoBERTa model in the RoBERTa: A Robustly Optimized BERT Pretraining Approach paper on the SST-2 Binary classification dataset? | Accuracy, Dev Accuracy |
What metrics were used to measure the FLOATER-large model in the Learning to Encode Position for Transformer with Continuous Dynamical Model paper on the SST-2 Binary classification dataset? | Accuracy, Dev Accuracy |
What metrics were used to measure the MUPPET Roberta base model in the Muppet: Massive Multi-task Representations with Pre-Finetuning paper on the SST-2 Binary classification dataset? | Accuracy, Dev Accuracy |
What metrics were used to measure the DeBERTa (large) model in the DeBERTa: Decoding-enhanced BERT with Disentangled Attention paper on the SST-2 Binary classification dataset? | Accuracy, Dev Accuracy |
What metrics were used to measure the MT-DNN-ensemble model in the Improving Multi-Task Deep Neural Networks via Knowledge Distillation for Natural Language Understanding paper on the SST-2 Binary classification dataset? | Accuracy, Dev Accuracy |
What metrics were used to measure the Vector-wise model in the LLM.int8(): 8-bit Matrix Multiplication for Transformers at Scale paper on the SST-2 Binary classification dataset? | Accuracy, Dev Accuracy |
What metrics were used to measure the T5-Large model in the Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer paper on the SST-2 Binary classification dataset? | Accuracy, Dev Accuracy |
What metrics were used to measure the ASA + RoBERTa model in the Adversarial Self-Attention for Language Understanding paper on the SST-2 Binary classification dataset? | Accuracy, Dev Accuracy |
What metrics were used to measure the Snorkel MeTaL(ensemble) model in the Training Complex Models with Multi-Task Weak Supervision paper on the SST-2 Binary classification dataset? | Accuracy, Dev Accuracy |
What metrics were used to measure the Heinsen Routing + RoBERTa-large model in the An Algorithm for Routing Vectors in Sequences paper on the SST-2 Binary classification dataset? | Accuracy, Dev Accuracy |
What metrics were used to measure the MT-DNN model in the Multi-Task Deep Neural Networks for Natural Language Understanding paper on the SST-2 Binary classification dataset? | Accuracy, Dev Accuracy |
What metrics were used to measure the Heinsen Routing + GPT-2 model in the An Algorithm for Routing Capsules in All Domains paper on the SST-2 Binary classification dataset? | Accuracy, Dev Accuracy |
What metrics were used to measure the T5-Base model in the Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer paper on the SST-2 Binary classification dataset? | Accuracy, Dev Accuracy |
What metrics were used to measure the ERNIE 2.0 Base model in the ERNIE 2.0: A Continual Pre-training Framework for Language Understanding paper on the SST-2 Binary classification dataset? | Accuracy, Dev Accuracy |
What metrics were used to measure the RoBERTa+DualCL model in the Dual Contrastive Learning: Text Classification via Label-Aware Data Augmentation paper on the SST-2 Binary classification dataset? | Accuracy, Dev Accuracy |
What metrics were used to measure the BERT-LARGE model in the BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding paper on the SST-2 Binary classification dataset? | Accuracy, Dev Accuracy |
What metrics were used to measure the SpanBERT model in the SpanBERT: Improving Pre-training by Representing and Predicting Spans paper on the SST-2 Binary classification dataset? | Accuracy, Dev Accuracy |
What metrics were used to measure the gMLP-large model in the Pay Attention to MLPs paper on the SST-2 Binary classification dataset? | Accuracy, Dev Accuracy |
What metrics were used to measure the CNN Large model in the Cloze-driven Pretraining of Self-attention Networks paper on the SST-2 Binary classification dataset? | Accuracy, Dev Accuracy |
What metrics were used to measure the BigBird model in the Big Bird: Transformers for Longer Sequences paper on the SST-2 Binary classification dataset? | Accuracy, Dev Accuracy |
What metrics were used to measure the MLM+ del-word+ reorder model in the CLEAR: Contrastive Learning for Sentence Representation paper on the SST-2 Binary classification dataset? | Accuracy, Dev Accuracy |
What metrics were used to measure the ASA + BERT-base model in the Adversarial Self-Attention for Language Understanding paper on the SST-2 Binary classification dataset? | Accuracy, Dev Accuracy |
What metrics were used to measure the RealFormer model in the RealFormer: Transformer Likes Residual Attention paper on the SST-2 Binary classification dataset? | Accuracy, Dev Accuracy |
What metrics were used to measure the FNet-Large model in the FNet: Mixing Tokens with Fourier Transforms paper on the SST-2 Binary classification dataset? | Accuracy, Dev Accuracy |
What metrics were used to measure the MT-DNN model in the SMART: Robust and Efficient Fine-Tuning for Pre-trained Natural Language Models through Principled Regularized Optimization paper on the SST-2 Binary classification dataset? | Accuracy, Dev Accuracy |
What metrics were used to measure the ERNIE model in the ERNIE: Enhanced Language Representation with Informative Entities paper on the SST-2 Binary classification dataset? | Accuracy, Dev Accuracy |
What metrics were used to measure the Block-sparse LSTM model in the GPU Kernels for Block-Sparse Weights paper on the SST-2 Binary classification dataset? | Accuracy, Dev Accuracy |
What metrics were used to measure the LM-CPPF RoBERTa-base model in the LM-CPPF: Paraphrasing-Guided Data Augmentation for Contrastive Prompt-Based Few-Shot Fine-Tuning paper on the SST-2 Binary classification dataset? | Accuracy, Dev Accuracy |
What metrics were used to measure the BERT Large model in the Fine-grained Sentiment Classification using BERT paper on the SST-2 Binary classification dataset? | Accuracy, Dev Accuracy |
What metrics were used to measure the 24hBERT model in the How to Train BERT with an Academic Budget paper on the SST-2 Binary classification dataset? | Accuracy, Dev Accuracy |
What metrics were used to measure the SMART+BERT-BASE model in the SMART: Robust and Efficient Fine-Tuning for Pre-trained Natural Language Models through Principled Regularized Optimization paper on the SST-2 Binary classification dataset? | Accuracy, Dev Accuracy |
What metrics were used to measure the TinyBERT model in the TinyBERT: Distilling BERT for Natural Language Understanding paper on the SST-2 Binary classification dataset? | Accuracy, Dev Accuracy |
What metrics were used to measure the bmLSTM model in the Learning to Generate Reviews and Discovering Sentiment paper on the SST-2 Binary classification dataset? | Accuracy, Dev Accuracy |
What metrics were used to measure the T5-Small model in the Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer paper on the SST-2 Binary classification dataset? | Accuracy, Dev Accuracy |
What metrics were used to measure the byte mLSTM7 model in the A La Carte Embedding: Cheap but Effective Induction of Semantic Feature Vectors paper on the SST-2 Binary classification dataset? | Accuracy, Dev Accuracy |
What metrics were used to measure the PAR BERT Base model in the Pay Attention when Required paper on the SST-2 Binary classification dataset? | Accuracy, Dev Accuracy |
What metrics were used to measure the Charformer-Base model in the Charformer: Fast Character Transformers via Gradient-based Subword Tokenization paper on the SST-2 Binary classification dataset? | Accuracy, Dev Accuracy |
What metrics were used to measure the SqueezeBERT model in the SqueezeBERT: What can computer vision teach NLP about efficient neural networks? paper on the SST-2 Binary classification dataset? | Accuracy, Dev Accuracy |
What metrics were used to measure the Nyströmformer model in the Nyströmformer: A Nyström-Based Algorithm for Approximating Self-Attention paper on the SST-2 Binary classification dataset? | Accuracy, Dev Accuracy |
What metrics were used to measure the Bi-CAS-LSTM model in the Cell-aware Stacked LSTMs for Modeling Sentences paper on the SST-2 Binary classification dataset? | Accuracy, Dev Accuracy |
What metrics were used to measure the DistilBERT model in the DistilBERT, a distilled version of BERT: smaller, faster, cheaper and lighter paper on the SST-2 Binary classification dataset? | Accuracy, Dev Accuracy |
What metrics were used to measure the CNN 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 SST-2 Binary classification dataset? | Accuracy, Dev Accuracy |
What metrics were used to measure the Suffix BiLSTM model in the Improved Sentence Modeling using Suffix Bidirectional LSTM paper on the SST-2 Binary classification dataset? | Accuracy, Dev Accuracy |
What metrics were used to measure the BERT Base model in the Fine-grained Sentiment Classification using BERT paper on the SST-2 Binary classification dataset? | Accuracy, Dev Accuracy |
What metrics were used to measure the Transformer (finetune) model in the Practical Text Classification With Large Pre-Trained Language Models paper on the SST-2 Binary classification dataset? | Accuracy, Dev Accuracy |
What metrics were used to measure the Single layer bilstm distilled from BERT model in the Distilling Task-Specific Knowledge from BERT into Simple Neural Networks paper on the SST-2 Binary classification dataset? | Accuracy, Dev Accuracy |
What metrics were used to measure the BCN+Char+CoVe model in the Learned in Translation: Contextualized Word Vectors paper on the SST-2 Binary classification dataset? | Accuracy, Dev Accuracy |
What metrics were used to measure the CNN-RNF-LSTM model in the Convolutional Neural Networks with Recurrent Neural Filters paper on the SST-2 Binary classification dataset? | Accuracy, Dev Accuracy |
What metrics were used to measure the Neural Semantic Encoder model in the Neural Semantic Encoders paper on the SST-2 Binary classification dataset? | Accuracy, Dev Accuracy |
What metrics were used to measure the BLSTM-2DCNN model in the Text Classification Improved by Integrating Bidirectional LSTM with Two-dimensional Max Pooling paper on the SST-2 Binary classification dataset? | Accuracy, Dev Accuracy |
What metrics were used to measure the CNN + Logic rules model in the Harnessing Deep Neural Networks with Logic Rules paper on the SST-2 Binary classification dataset? | Accuracy, Dev Accuracy |
What metrics were used to measure the DMN [ankit16] model in the Ask Me Anything: Dynamic Memory Networks for Natural Language Processing paper on the SST-2 Binary classification dataset? | Accuracy, Dev Accuracy |
What metrics were used to measure the CNN-MC [kim:13] model in the Convolutional Neural Networks for Sentence Classification paper on the SST-2 Binary classification dataset? | Accuracy, Dev Accuracy |
What metrics were used to measure the CT-LSTM[tai2015improved] model in the Improved Semantic Representations From Tree-Structured Long Short-Term Memory Networks paper on the SST-2 Binary classification dataset? | Accuracy, Dev Accuracy |
What metrics were used to measure the C-LSTM model in the A C-LSTM Neural Network for Text Classification paper on the SST-2 Binary classification dataset? | Accuracy, Dev Accuracy |
What metrics were used to measure the MPAD-path model in the Message Passing Attention Networks for Document Understanding paper on the SST-2 Binary classification dataset? | Accuracy, Dev Accuracy |
What metrics were used to measure the Standard DR-AGG model in the Information Aggregation via Dynamic Routing for Sequence Encoding paper on the SST-2 Binary classification dataset? | Accuracy, Dev Accuracy |
What metrics were used to measure the USE_T+CNN (lrn w.e.) model in the Universal Sentence Encoder paper on the SST-2 Binary classification dataset? | Accuracy, Dev Accuracy |
What metrics were used to measure the Reverse DR-AGG model in the Information Aggregation via Dynamic Routing for Sequence Encoding paper on the SST-2 Binary classification dataset? | Accuracy, Dev Accuracy |
What metrics were used to measure the DC-MCNN model in the A Helping Hand: Transfer Learning for Deep Sentiment Analysis paper on the SST-2 Binary classification dataset? | Accuracy, Dev Accuracy |
What metrics were used to measure the STM+TSED+PT+2L model in the The Pupil Has Become the Master: Teacher-Student Model-Based Word Embedding Distillation with Ensemble Learning paper on the SST-2 Binary classification dataset? | Accuracy, Dev Accuracy |
What metrics were used to measure the Capsule-B model in the Investigating Capsule Networks with Dynamic Routing for Text Classification paper on the SST-2 Binary classification dataset? | Accuracy, Dev Accuracy |
What metrics were used to measure the 2-layer LSTM[tai2015improved] model in the Improved Semantic Representations From Tree-Structured Long Short-Term Memory Networks paper on the SST-2 Binary classification dataset? | Accuracy, Dev Accuracy |
What metrics were used to measure the RNTN model in the Recursive Deep Models for Semantic Compositionality Over a Sentiment Treebank paper on the SST-2 Binary classification dataset? | Accuracy, Dev Accuracy |
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 SST-2 Binary classification dataset? | Accuracy, Dev Accuracy |
What metrics were used to measure the MV-RNN model in the Recursive Deep Models for Semantic Compositionality Over a Sentiment Treebank paper on the SST-2 Binary classification dataset? | Accuracy, Dev Accuracy |
What metrics were used to measure the GloVe+Emo2Vec model in the Emo2Vec: Learning Generalized Emotion Representation by Multi-task Training paper on the SST-2 Binary classification dataset? | Accuracy, Dev Accuracy |
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