prompts stringlengths 81 413 | metrics_response stringlengths 0 371 |
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What metrics were used to measure the SA-BERT+HCL model in the Dialogue Response Selection with Hierarchical Curriculum Learning paper on the E-commerce dataset? | R10@1, R10@2, R10@5 |
What metrics were used to measure the SA-BERT model in the Speaker-Aware BERT for Multi-Turn Response Selection in Retrieval-Based Chatbots paper on the E-commerce dataset? | R10@1, R10@2, R10@5 |
What metrics were used to measure the IMN model in the Interactive Matching Network for Multi-Turn Response Selection in Retrieval-Based Chatbots paper on the E-commerce dataset? | R10@1, R10@2, R10@5 |
What metrics were used to measure the U2U-IMN model in the Utterance-to-Utterance Interactive Matching Network for Multi-Turn Response Selection in Retrieval-Based Chatbots paper on the E-commerce dataset? | R10@1, R10@2, R10@5 |
What metrics were used to measure the G-MSN model in the The World is Not Binary: Learning to Rank with Grayscale Data for Dialogue Response Selection paper on the E-commerce dataset? | R10@1, R10@2, R10@5 |
What metrics were used to measure the MSN model in the Multi-hop Selector Network for Multi-turn Response Selection in Retrieval-based Chatbots paper on the E-commerce dataset? | R10@1, R10@2, R10@5 |
What metrics were used to measure the IOI model in the One Time of Interaction May Not Be Enough: Go Deep with an Interaction-over-Interaction Network for Response Selection in Dialogues paper on the E-commerce dataset? | R10@1, R10@2, R10@5 |
What metrics were used to measure the DUA model in the Modeling Multi-turn Conversation with Deep Utterance Aggregation paper on the E-commerce dataset? | R10@1, R10@2, R10@5 |
What metrics were used to measure the SMN model in the Sequential Matching Network: A New Architecture for Multi-turn Response Selection in Retrieval-based Chatbots paper on the E-commerce dataset? | R10@1, R10@2, R10@5 |
What metrics were used to measure the Uni-Enc+BERT-FP model in the Uni-Encoder: A Fast and Accurate Response Selection Paradigm for Generation-Based Dialogue Systems paper on the Ubuntu Dialogue (v1, Ranking) dataset? | R10@1, R10@2, R10@5, R2@1 |
What metrics were used to measure the BERT-FP model in the Fine-grained Post-training for Improving Retrieval-based Dialogue Systems paper on the Ubuntu Dialogue (v1, Ranking) dataset? | R10@1, R10@2, R10@5, R2@1 |
What metrics were used to measure the BERT-UMS+FGC model in the Small Changes Make Big Differences: Improving Multi-turn Response Selection in Dialogue Systems via Fine-Grained Contrastive Learning paper on the Ubuntu Dialogue (v1, Ranking) dataset? | R10@1, R10@2, R10@5, R2@1 |
What metrics were used to measure the Uni-Encoder model in the Uni-Encoder: A Fast and Accurate Response Selection Paradigm for Generation-Based Dialogue Systems paper on the Ubuntu Dialogue (v1, Ranking) dataset? | R10@1, R10@2, R10@5, R2@1 |
What metrics were used to measure the BERT-SL model in the Learning an Effective Context-Response Matching Model with Self-Supervised Tasks for Retrieval-based Dialogues paper on the Ubuntu Dialogue (v1, Ranking) dataset? | R10@1, R10@2, R10@5, R2@1 |
What metrics were used to measure the Poly-encoder model in the Poly-encoders: Transformer Architectures and Pre-training Strategies for Fast and Accurate Multi-sentence Scoring paper on the Ubuntu Dialogue (v1, Ranking) dataset? | R10@1, R10@2, R10@5, R2@1 |
What metrics were used to measure the UMS_BERT+ model in the Do Response Selection Models Really Know What's Next? Utterance Manipulation Strategies for Multi-turn Response Selection paper on the Ubuntu Dialogue (v1, Ranking) dataset? | R10@1, R10@2, R10@5, R2@1 |
What metrics were used to measure the BERT-VFT model in the An Effective Domain Adaptive Post-Training Method for BERT in Response Selection paper on the Ubuntu Dialogue (v1, Ranking) dataset? | R10@1, R10@2, R10@5, R2@1 |
What metrics were used to measure the SA-BERT model in the Speaker-Aware BERT for Multi-Turn Response Selection in Retrieval-Based Chatbots paper on the Ubuntu Dialogue (v1, Ranking) dataset? | R10@1, R10@2, R10@5, R2@1 |
What metrics were used to measure the WDMN model in the Response Ranking with Multi-types of Deep Interactive Representations in Retrieval-based Dialogues paper on the Ubuntu Dialogue (v1, Ranking) dataset? | R10@1, R10@2, R10@5, R2@1 |
What metrics were used to measure the MSN model in the Multi-hop Selector Network for Multi-turn Response Selection in Retrieval-based Chatbots paper on the Ubuntu Dialogue (v1, Ranking) dataset? | R10@1, R10@2, R10@5, R2@1 |
What metrics were used to measure the ESIM model in the Sequential Attention-based Network for Noetic End-to-End Response Selection paper on the Ubuntu Dialogue (v1, Ranking) dataset? | R10@1, R10@2, R10@5, R2@1 |
What metrics were used to measure the IoI-local model in the One Time of Interaction May Not Be Enough: Go Deep with an Interaction-over-Interaction Network for Response Selection in Dialogues paper on the Ubuntu Dialogue (v1, Ranking) dataset? | R10@1, R10@2, R10@5, R2@1 |
What metrics were used to measure the IMN model in the Interactive Matching Network for Multi-Turn Response Selection in Retrieval-Based Chatbots paper on the Ubuntu Dialogue (v1, Ranking) dataset? | R10@1, R10@2, R10@5, R2@1 |
What metrics were used to measure the TripleNet model in the TripleNet: Triple Attention Network for Multi-Turn Response Selection in Retrieval-based Chatbots paper on the Ubuntu Dialogue (v1, Ranking) dataset? | R10@1, R10@2, R10@5, R2@1 |
What metrics were used to measure the DAM-Semi model in the Sampling Matters! An Empirical Study of Negative Sampling Strategies for Learning of Matching Models in Retrieval-based Dialogue Systems paper on the Ubuntu Dialogue (v1, Ranking) dataset? | R10@1, R10@2, R10@5, R2@1 |
What metrics were used to measure the DAM model in the Multi-Turn Response Selection for Chatbots with Deep Attention Matching Network paper on the Ubuntu Dialogue (v1, Ranking) dataset? | R10@1, R10@2, R10@5, R2@1 |
What metrics were used to measure the DAM-MG model in the Multi-Granularity Representations of Dialog paper on the Ubuntu Dialogue (v1, Ranking) dataset? | R10@1, R10@2, R10@5, R2@1 |
What metrics were used to measure the DUA model in the Modeling Multi-turn Conversation with Deep Utterance Aggregation paper on the Ubuntu Dialogue (v1, Ranking) dataset? | R10@1, R10@2, R10@5, R2@1 |
What metrics were used to measure the SMN model in the Sequential Matching Network: A New Architecture for Multi-turn Response Selection in Retrieval-based Chatbots paper on the Ubuntu Dialogue (v1, Ranking) dataset? | R10@1, R10@2, R10@5, R2@1 |
What metrics were used to measure the Multi-View model in the Multi-view Response Selection for Human-Computer Conversation paper on the Ubuntu Dialogue (v1, Ranking) dataset? | R10@1, R10@2, R10@5, R2@1 |
What metrics were used to measure the Dual-BiLSTM model in the Improved Deep Learning Baselines for Ubuntu Corpus Dialogs paper on the Ubuntu Dialogue (v1, Ranking) dataset? | R10@1, R10@2, R10@5, R2@1 |
What metrics were used to measure the Dual-LSTM model in the The Ubuntu Dialogue Corpus: A Large Dataset for Research in Unstructured Multi-Turn Dialogue Systems paper on the Ubuntu Dialogue (v1, Ranking) dataset? | R10@1, R10@2, R10@5, R2@1 |
What metrics were used to measure the SEMSOL(W/o utterances) model in the Knowledge-aware response selection with semantics underlying multi-turn open-domain conversations paper on the Douban dataset? | MAP, MRR, P@1, R10@1, R10@2, R10@5 |
What metrics were used to measure the Uni-Enc+BERT-FP model in the Uni-Encoder: A Fast and Accurate Response Selection Paradigm for Generation-Based Dialogue Systems paper on the Douban dataset? | MAP, MRR, P@1, R10@1, R10@2, R10@5 |
What metrics were used to measure the BERT-FP model in the Fine-grained Post-training for Improving Retrieval-based Dialogue Systems paper on the Douban dataset? | MAP, MRR, P@1, R10@1, R10@2, R10@5 |
What metrics were used to measure the SEMSOL model in the Knowledge-aware response selection with semantics underlying multi-turn open-domain conversations paper on the Douban dataset? | MAP, MRR, P@1, R10@1, R10@2, R10@5 |
What metrics were used to measure the SA-BERT+HCL model in the Dialogue Response Selection with Hierarchical Curriculum Learning paper on the Douban dataset? | MAP, MRR, P@1, R10@1, R10@2, R10@5 |
What metrics were used to measure the UMS_BERT+ model in the Do Response Selection Models Really Know What's Next? Utterance Manipulation Strategies for Multi-turn Response Selection paper on the Douban dataset? | MAP, MRR, P@1, R10@1, R10@2, R10@5 |
What metrics were used to measure the Uni-Encoder model in the Uni-Encoder: A Fast and Accurate Response Selection Paradigm for Generation-Based Dialogue Systems paper on the Douban dataset? | MAP, MRR, P@1, R10@1, R10@2, R10@5 |
What metrics were used to measure the SA-BERT model in the Speaker-Aware BERT for Multi-Turn Response Selection in Retrieval-Based Chatbots paper on the Douban dataset? | MAP, MRR, P@1, R10@1, R10@2, R10@5 |
What metrics were used to measure the Poly-encoder model in the Poly-encoders: Transformer Architectures and Pre-training Strategies for Fast and Accurate Multi-sentence Scoring paper on the Douban dataset? | MAP, MRR, P@1, R10@1, R10@2, R10@5 |
What metrics were used to measure the BERT model in the An Effective Domain Adaptive Post-Training Method for BERT in Response Selection paper on the Douban dataset? | MAP, MRR, P@1, R10@1, R10@2, R10@5 |
What metrics were used to measure the MSN model in the Multi-hop Selector Network for Multi-turn Response Selection in Retrieval-based Chatbots paper on the Douban dataset? | MAP, MRR, P@1, R10@1, R10@2, R10@5 |
What metrics were used to measure the IoI model in the One Time of Interaction May Not Be Enough: Go Deep with an Interaction-over-Interaction Network for Response Selection in Dialogues paper on the Douban dataset? | MAP, MRR, P@1, R10@1, R10@2, R10@5 |
What metrics were used to measure the IMN model in the Interactive Matching Network for Multi-Turn Response Selection in Retrieval-Based Chatbots paper on the Douban dataset? | MAP, MRR, P@1, R10@1, R10@2, R10@5 |
What metrics were used to measure the DUA model in the Modeling Multi-turn Conversation with Deep Utterance Aggregation paper on the Douban dataset? | MAP, MRR, P@1, R10@1, R10@2, R10@5 |
What metrics were used to measure the DAM model in the Multi-Turn Response Selection for Chatbots with Deep Attention Matching Network paper on the Douban dataset? | MAP, MRR, P@1, R10@1, R10@2, R10@5 |
What metrics were used to measure the SMN model in the Sequential Matching Network: A New Architecture for Multi-turn Response Selection in Retrieval-based Chatbots paper on the Douban dataset? | MAP, MRR, P@1, R10@1, R10@2, R10@5 |
What metrics were used to measure the Multi-context ConveRT model in the ConveRT: Efficient and Accurate Conversational Representations from Transformers paper on the DSTC7 Ubuntu dataset? | 1-of-100 Accuracy |
What metrics were used to measure the Bi-encoder (v2) model in the Poly-encoders: Transformer Architectures and Pre-training Strategies for Fast and Accurate Multi-sentence Scoring paper on the DSTC7 Ubuntu dataset? | 1-of-100 Accuracy |
What metrics were used to measure the Bi-encoder model in the Poly-encoders: Transformer Architectures and Pre-training Strategies for Fast and Accurate Multi-sentence Scoring paper on the DSTC7 Ubuntu dataset? | 1-of-100 Accuracy |
What metrics were used to measure the Sequential Attention-based Network model in the Sequential Attention-based Network for Noetic End-to-End Response Selection paper on the DSTC7 Ubuntu dataset? | 1-of-100 Accuracy |
What metrics were used to measure the Sequential Inference Models model in the Building Sequential Inference Models for End-to-End Response Selection paper on the DSTC7 Ubuntu dataset? | 1-of-100 Accuracy |
What metrics were used to measure the Uni-Encoder model in the Uni-Encoder: A Fast and Accurate Response Selection Paradigm for Generation-Based Dialogue Systems paper on the Ubuntu Dialogue (v2, Ranking) dataset? | R10@1, R10@2, R10@5 |
What metrics were used to measure the Poly-encoder model in the Poly-encoders: Transformer Architectures and Pre-training Strategies for Fast and Accurate Multi-sentence Scoring paper on the RRS Ranking Test dataset? | NDCG@3, NDCG@5 |
What metrics were used to measure the SA-BERT+BERT-FP model in the Speaker-Aware BERT for Multi-Turn Response Selection in Retrieval-Based Chatbots paper on the RRS Ranking Test dataset? | NDCG@3, NDCG@5 |
What metrics were used to measure the BERT model in the An Effective Domain Adaptive Post-Training Method for BERT in Response Selection paper on the RRS Ranking Test dataset? | NDCG@3, NDCG@5 |
What metrics were used to measure the BERT-FP model in the Fine-grained Post-training for Improving Retrieval-based Dialogue Systems paper on the RRS Ranking Test dataset? | NDCG@3, NDCG@5 |
What metrics were used to measure the CtxDec & -Rev model in the Sequential Attention-based Network for Noetic End-to-End Response Selection paper on the Advising Corpus dataset? | R@1, R@10, R@50 |
What metrics were used to measure the ConveRT model in the ConveRT: Efficient and Accurate Conversational Representations from Transformers paper on the PolyAI AmazonQA dataset? | 1-of-100 Accuracy |
What metrics were used to measure the PolyAI Encoder model in the A Repository of Conversational Datasets paper on the PolyAI AmazonQA dataset? | 1-of-100 Accuracy |
What metrics were used to measure the PolyAI Encoder model in the A Repository of Conversational Datasets paper on the PolyAI OpenSubtitles dataset? | 1-of-100 Accuracy |
What metrics were used to measure the ProCAN model in the ProCAN: Progressive Growing Channel Attentive Non-Local Network for Lung Nodule Classification paper on the LIDC-IDRI dataset? | Accuracy, Acc, AUC, Accuracy(10-fold) |
What metrics were used to measure the Gated-Dilated model in the Gated-Dilated Networks for Lung Nodule Classification in CT scans paper on the LIDC-IDRI dataset? | Accuracy, Acc, AUC, Accuracy(10-fold) |
What metrics were used to measure the NASLung (ours) model in the Learning Efficient, Explainable and Discriminative Representations for Pulmonary Nodules Classification paper on the LIDC-IDRI dataset? | Accuracy, Acc, AUC, Accuracy(10-fold) |
What metrics were used to measure the DeepLung model in the DeepLung: Deep 3D Dual Path Nets for Automated Pulmonary Nodule Detection and Classification paper on the LIDC-IDRI dataset? | Accuracy, Acc, AUC, Accuracy(10-fold) |
What metrics were used to measure the Local-Global model in the Lung Nodule Classification using Deep Local-Global Networks paper on the LIDC-IDRI dataset? | Accuracy, Acc, AUC, Accuracy(10-fold) |
What metrics were used to measure the I3DR-Net model in the Lung nodule detection and classification from Thorax CT-scan using RetinaNet with transfer learning paper on the LIDC-IDRI dataset? | Accuracy, Acc, AUC, Accuracy(10-fold) |
What metrics were used to measure the TwoStream-SLT model in the Two-Stream Network for Sign Language Recognition and Translation paper on the CSL-Daily dataset? | BLEU-4 |
What metrics were used to measure the MMTLB model in the A Simple Multi-Modality Transfer Learning Baseline for Sign Language Translation paper on the CSL-Daily dataset? | BLEU-4 |
What metrics were used to measure the XmDA model in the Cross-modality Data Augmentation for End-to-End Sign Language Translation paper on the CSL-Daily dataset? | BLEU-4 |
What metrics were used to measure the BN-TIN-Transf.+SignBT model in the Improving Sign Language Translation with Monolingual Data by Sign Back-Translation paper on the CSL-Daily dataset? | BLEU-4 |
What metrics were used to measure the IP-SLT model in the Sign Language Translation with Iterative Prototype paper on the CSL-Daily dataset? | BLEU-4 |
What metrics were used to measure the ConSLT model in the A Token-level Contrastive Framework for Sign Language Translation paper on the CSL-Daily dataset? | BLEU-4 |
What metrics were used to measure the BN-TIN-Transf. model in the Improving Sign Language Translation with Monolingual Data by Sign Back-Translation paper on the CSL-Daily dataset? | BLEU-4 |
What metrics were used to measure the model in the Sign Language Translation from Instructional Videos paper on the How2Sign dataset? | BLEU |
What metrics were used to measure the Keypoints-Transformer-UNLP model in the LSA-T: The first continuous Argentinian Sign Language dataset for Sign Language Translation paper on the LSA-T dataset? | Word Error Rate (WER) |
What metrics were used to measure the Transformer Ens. model in the Better Sign Language Translation with STMC-Transformer paper on the ASLG-PC12 dataset? | BLEU-4 |
What metrics were used to measure the TwoStream-SLT model in the Two-Stream Network for Sign Language Recognition and Translation paper on the RWTH-PHOENIX-Weather 2014 T dataset? | BLEU-4 |
What metrics were used to measure the SignBERT+ model in the SignBERT+: Hand-model-aware Self-supervised Pre-training for Sign Language Understanding paper on the RWTH-PHOENIX-Weather 2014 T dataset? | BLEU-4 |
What metrics were used to measure the S2T Stochastic Transformer (Ens) model in the Stochastic Transformer Networks with Linear Competing Units: Application to end-to-end SL Translation paper on the RWTH-PHOENIX-Weather 2014 T dataset? | BLEU-4 |
What metrics were used to measure the STMC+Transformer (Ens) model in the Better Sign Language Translation with STMC-Transformer paper on the RWTH-PHOENIX-Weather 2014 T dataset? | BLEU-4 |
What metrics were used to measure the BN-TIN-Transf.+SignBT model in the Improving Sign Language Translation with Monolingual Data by Sign Back-Translation paper on the RWTH-PHOENIX-Weather 2014 T dataset? | BLEU-4 |
What metrics were used to measure the BERT2RND model in the Frozen Pretrained Transformers for Neural Sign Language Translation paper on the RWTH-PHOENIX-Weather 2014 T dataset? | BLEU-4 |
What metrics were used to measure the BN-TIN-Transf. model in the Improving Sign Language Translation with Monolingual Data by Sign Back-Translation paper on the RWTH-PHOENIX-Weather 2014 T dataset? | BLEU-4 |
What metrics were used to measure the BERT2BERT model in the Frozen Pretrained Transformers for Neural Sign Language Translation paper on the RWTH-PHOENIX-Weather 2014 T dataset? | BLEU-4 |
What metrics were used to measure the Sign2Gloss2Text model in the Neural Sign Language Translation paper on the RWTH-PHOENIX-Weather 2014 T dataset? | BLEU-4 |
What metrics were used to measure the GIT model in the Git: Clustering Based on Graph of Intensity Topology paper on the Olivetti face dataset? | F1-score, ARI, NMI |
What metrics were used to measure the QuickShiftPP model in the Git: Clustering Based on Graph of Intensity Topology paper on the Olivetti face dataset? | F1-score, ARI, NMI |
What metrics were used to measure the k-Means++ model in the Git: Clustering Based on Graph of Intensity Topology paper on the Olivetti face dataset? | F1-score, ARI, NMI |
What metrics were used to measure the Spectral Clustering model in the Git: Clustering Based on Graph of Intensity Topology paper on the Olivetti face dataset? | F1-score, ARI, NMI |
What metrics were used to measure the SpectACI model in the Git: Clustering Based on Graph of Intensity Topology paper on the Olivetti face dataset? | F1-score, ARI, NMI |
What metrics were used to measure the AE+GIT model in the Git: Clustering Based on Graph of Intensity Topology paper on the Fashion-MNIST dataset? | ARI, F1-score, NMI |
What metrics were used to measure the k-Means++ model in the Git: Clustering Based on Graph of Intensity Topology paper on the Fashion-MNIST dataset? | ARI, F1-score, NMI |
What metrics were used to measure the Spectral Clustering model in the Git: Clustering Based on Graph of Intensity Topology paper on the Fashion-MNIST dataset? | ARI, F1-score, NMI |
What metrics were used to measure the GIT model in the Git: Clustering Based on Graph of Intensity Topology paper on the Fashion-MNIST dataset? | ARI, F1-score, NMI |
What metrics were used to measure the SpectACI model in the Git: Clustering Based on Graph of Intensity Topology paper on the Fashion-MNIST dataset? | ARI, F1-score, NMI |
What metrics were used to measure the QuickShiftPP model in the Git: Clustering Based on Graph of Intensity Topology paper on the Fashion-MNIST dataset? | ARI, F1-score, NMI |
What metrics were used to measure the CVDD model in the An Internal Validity Index Based on Density-Involved Distance paper on the pixraw10P dataset? | Purity |
What metrics were used to measure the CVDD model in the An Internal Validity Index Based on Density-Involved Distance paper on the pathbased dataset? | Purity |
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