prompts stringlengths 81 413 | metrics_response stringlengths 0 371 |
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What metrics were used to measure the pucpr/biobertpt-clin model in the BioBERTpt - A Portuguese Neural Language Model for Clinical Named Entity Recognition paper on the SemClinBr dataset? | Micro F1 |
What metrics were used to measure the pucpr/biobertpt-bio model in the BioBERTpt - A Portuguese Neural Language Model for Clinical Named Entity Recognition paper on the SemClinBr dataset? | Micro F1 |
What metrics were used to measure the pucpr/biobertpt-all model in the BioBERTpt - A Portuguese Neural Language Model for Clinical Named Entity Recognition paper on the SemClinBr dataset? | Micro F1 |
What metrics were used to measure the TPP (LayoutLMv3) model in the Reading Order Matters: Information Extraction from Visually-rich Documents by Token Path Prediction paper on the FUNSD-r dataset? | F1 |
What metrics were used to measure the LayoutLMv3 model in the LayoutLMv3: Pre-training for Document AI with Unified Text and Image Masking paper on the FUNSD-r dataset? | F1 |
What metrics were used to measure the TPP (LayoutMask) model in the Reading Order Matters: Information Extraction from Visually-rich Documents by Token Path Prediction paper on the FUNSD-r dataset? | F1 |
What metrics were used to measure the LayoutMask model in the LayoutMask: Enhance Text-Layout Interaction in Multi-modal Pre-training for Document Understanding paper on the FUNSD-r dataset? | F1 |
What metrics were used to measure the cfilt/HiNER-collapsed-xlm-roberta-large model in the HiNER: A Large Hindi Named Entity Recognition Dataset paper on the HiNER-collapsed dataset? | F1-score (Weighted) |
What metrics were used to measure the cfilt/HiNER-collapsed-muril-base-cased model in the HiNER: A Large Hindi Named Entity Recognition Dataset paper on the HiNER-collapsed dataset? | F1-score (Weighted) |
What metrics were used to measure the HGN model in the Hero-Gang Neural Model For Named Entity Recognition paper on the WNUT 2016 dataset? | F1 |
What metrics were used to measure the CL-KL model in the Improving Named Entity Recognition by External Context Retrieving and Cooperative Learning paper on the WNUT 2016 dataset? | F1 |
What metrics were used to measure the AESINER model in the Improving Named Entity Recognition with Attentive Ensemble of Syntactic Information paper on the WNUT 2016 dataset? | F1 |
What metrics were used to measure the SA-NER model in the Named Entity Recognition for Social Media Texts with Semantic Augmentation paper on the WNUT 2016 dataset? | F1 |
What metrics were used to measure the InferNER model in the InferNER: an attentive model leveraging the sentence-level information for Named Entity Recognition in Microblogs paper on the WNUT 2016 dataset? | F1 |
What metrics were used to measure the CambridgeLTL model in the Bidirectional LSTM for Named Entity Recognition in Twitter Messages paper on the WNUT 2016 dataset? | F1 |
What metrics were used to measure the BERTweet model in the BERTweet: A pre-trained language model for English Tweets paper on the WNUT 2016 dataset? | F1 |
What metrics were used to measure the AlephBERT-base model in the AlephBERT:A Hebrew Large Pre-Trained Language Model to Start-off your Hebrew NLP Application With paper on the NEMO-Corpus (token,test) dataset? | F1 |
What metrics were used to measure the LSTM-CharLSTM-CRF token-multi model in the Neural Modeling for Named Entities and Morphology (NEMO^2) paper on the NEMO-Corpus (token,test) dataset? | F1 |
What metrics were used to measure the BioKMNER + BioBERT model in the Improving Biomedical Named Entity Recognition with Syntactic Information paper on the Species-800 dataset? | F1 |
What metrics were used to measure the SciFive-Base model in the SciFive: a text-to-text transformer model for biomedical literature paper on the Species-800 dataset? | F1 |
What metrics were used to measure the BioFLAIR model in the BioFLAIR: Pretrained Pooled Contextualized Embeddings for Biomedical Sequence Labeling Tasks paper on the Species-800 dataset? | F1 |
What metrics were used to measure the Spark NLP model in the Biomedical Named Entity Recognition at Scale paper on the Species-800 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 Few-NERD (SUP) dataset? | F1-Measure, Precision, Recall |
What metrics were used to measure the PIQN model in the Parallel Instance Query Network for Named Entity Recognition paper on the Few-NERD (SUP) dataset? | F1-Measure, Precision, Recall |
What metrics were used to measure the Sequence-to-Set model in the Parallel Instance Query Network for Named Entity Recognition paper on the Few-NERD (SUP) dataset? | F1-Measure, Precision, Recall |
What metrics were used to measure the Locate and Label model in the Parallel Instance Query Network for Named Entity Recognition paper on the Few-NERD (SUP) dataset? | F1-Measure, Precision, Recall |
What metrics were used to measure the BERT-Tagger model in the Few-NERD: A Few-Shot Named Entity Recognition Dataset paper on the Few-NERD (SUP) dataset? | F1-Measure, Precision, Recall |
What metrics were used to measure the HME (word + BPE + char) model in the Hierarchical Meta-Embeddings for Code-Switching Named Entity Recognition paper on the Code-Switching English-Spanish NER dataset? | 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 2004 dataset? | F1, Multi-Task Supervision |
What metrics were used to measure the PIQN model in the Parallel Instance Query Network for Named Entity Recognition paper on the ACE 2004 dataset? | F1, Multi-Task Supervision |
What metrics were used to measure the Biaffine-NER model in the Named Entity Recognition as Dependency Parsing paper on the ACE 2004 dataset? | F1, Multi-Task Supervision |
What metrics were used to measure the BoningKnife model in the BoningKnife: Joint Entity Mention Detection and Typing for Nested NER via prior Boundary Knowledge paper on the ACE 2004 dataset? | F1, Multi-Task Supervision |
What metrics were used to measure the Second-best learning and decoding model in the Nested Named Entity Recognition via Second-best Sequence Learning and Decoding paper on the ACE 2004 dataset? | F1, Multi-Task Supervision |
What metrics were used to measure the seq2seq+BERT+Flair model in the Neural Architectures for Nested NER through Linearization paper on the ACE 2004 dataset? | F1, Multi-Task Supervision |
What metrics were used to measure the MGNER model in the Multi-Grained Named Entity Recognition paper on the ACE 2004 dataset? | F1, Multi-Task Supervision |
What metrics were used to measure the Neural segmental hypergraphs model in the Neural Segmental Hypergraphs for Overlapping Mention Recognition paper on the ACE 2004 dataset? | F1, Multi-Task Supervision |
What metrics were used to measure the Neural transition-based model model in the A Neural Transition-based Model for Nested Mention Recognition paper on the ACE 2004 dataset? | F1, Multi-Task Supervision |
What metrics were used to measure the UNER XML-R model in the Universal NER: A Gold-Standard Multilingual Named Entity Recognition Benchmark paper on the UNER v1 (Chinese) dataset? | F1 (micro) |
What metrics were used to measure the BERT-MRC+DSC model in the Dice Loss for Data-imbalanced NLP Tasks paper on the Ontonotes v5 (English) dataset? | F1, Precision, Recall |
What metrics were used to measure the PL-Marker model in the Packed Levitated Marker for Entity and Relation Extraction paper on the Ontonotes v5 (English) dataset? | F1, Precision, Recall |
What metrics were used to measure the Baseline + BS model in the Boundary Smoothing for Named Entity Recognition paper on the Ontonotes v5 (English) dataset? | F1, Precision, Recall |
What metrics were used to measure the Biaffine-NER model in the Named Entity Recognition as Dependency Parsing paper on the Ontonotes v5 (English) dataset? | F1, Precision, Recall |
What metrics were used to measure the BERT-MRC model in the A Unified MRC Framework for Named Entity Recognition paper on the Ontonotes v5 (English) dataset? | F1, Precision, Recall |
What metrics were used to measure the PIQN model in the Parallel Instance Query Network for Named Entity Recognition paper on the Ontonotes v5 (English) dataset? | F1, Precision, Recall |
What metrics were used to measure the HGN model in the Hero-Gang Neural Model For Named Entity Recognition paper on the Ontonotes v5 (English) dataset? | F1, Precision, Recall |
What metrics were used to measure the Syn-LSTM + BERT (wo doc-context) model in the Better Feature Integration for Named Entity Recognition paper on the Ontonotes v5 (English) dataset? | F1, Precision, Recall |
What metrics were used to measure the DiffusionNER model in the DiffusionNER: Boundary Diffusion for Named Entity Recognition paper on the Ontonotes v5 (English) dataset? | F1, Precision, Recall |
What metrics were used to measure the W2NER model in the Unified Named Entity Recognition as Word-Word Relation Classification paper on the Ontonotes v5 (English) dataset? | F1, Precision, Recall |
What metrics were used to measure the BARTNER model in the A Unified Generative Framework for Various NER Subtasks paper on the Ontonotes v5 (English) dataset? | F1, Precision, Recall |
What metrics were used to measure the AESINER model in the Improving Named Entity Recognition with Attentive Ensemble of Syntactic Information paper on the Ontonotes v5 (English) dataset? | F1, Precision, Recall |
What metrics were used to measure the Hierarchical + BERT model in the Hierarchical Contextualized Representation for Named Entity Recognition paper on the Ontonotes v5 (English) dataset? | F1, Precision, Recall |
What metrics were used to measure the HSCRF + softdict model in the Towards Improving Neural Named Entity Recognition with Gazetteers paper on the Ontonotes v5 (English) dataset? | F1, Precision, Recall |
What metrics were used to measure the DGLSTM-CRF + ELMo model in the Dependency-Guided LSTM-CRF for Named Entity Recognition paper on the Ontonotes v5 (English) dataset? | F1, Precision, Recall |
What metrics were used to measure the Syn-LSTM (wo doc-context) model in the Better Feature Integration for Named Entity Recognition paper on the Ontonotes v5 (English) dataset? | F1, Precision, Recall |
What metrics were used to measure the CVT + Multi-Task + Large model in the Semi-Supervised Sequence Modeling with Cross-View Training paper on the Ontonotes v5 (English) dataset? | F1, Precision, Recall |
What metrics were used to measure the DGLSTM-CRF (L=2) model in the Dependency-Guided LSTM-CRF for Named Entity Recognition paper on the Ontonotes v5 (English) dataset? | F1, Precision, Recall |
What metrics were used to measure the Att-BiLSTM-CNN model in the Why Attention? Analyze BiLSTM Deficiency and Its Remedies in the Case of NER paper on the Ontonotes v5 (English) dataset? | F1, Precision, Recall |
What metrics were used to measure the BiLSTM-LAN model in the Hierarchically-Refined Label Attention Network for Sequence Labeling paper on the Ontonotes v5 (English) dataset? | F1, Precision, Recall |
What metrics were used to measure the Hierarchical model in the Hierarchical Contextualized Representation for Named Entity Recognition paper on the Ontonotes v5 (English) dataset? | F1, Precision, Recall |
What metrics were used to measure the Bi-LSTM-CRF + Lexical Features model in the Robust Lexical Features for Improved Neural Network Named-Entity Recognition paper on the Ontonotes v5 (English) dataset? | F1, Precision, Recall |
What metrics were used to measure the GRN model in the GRN: Gated Relation Network to Enhance Convolutional Neural Network for Named Entity Recognition paper on the Ontonotes v5 (English) dataset? | F1, Precision, Recall |
What metrics were used to measure the BiLSTM-CRF model in the Fast and Accurate Entity Recognition with Iterated Dilated Convolutions paper on the Ontonotes v5 (English) dataset? | F1, Precision, Recall |
What metrics were used to measure the Iterated Dilated CNN model in the Fast and Accurate Entity Recognition with Iterated Dilated Convolutions paper on the Ontonotes v5 (English) dataset? | F1, Precision, Recall |
What metrics were used to measure the Chiu and Nichols (2016) model in the Named Entity Recognition with Bidirectional LSTM-CNNs paper on the Ontonotes v5 (English) dataset? | F1, Precision, Recall |
What metrics were used to measure the Joint Model model in the A Joint Model for Entity Analysis: Coreference, Typing, and Linking paper on the Ontonotes v5 (English) dataset? | F1, Precision, Recall |
What metrics were used to measure the ConNER model in the Enhancing Label Consistency on Document-level Named Entity Recognition paper on the AnatEM dataset? | F1 |
What metrics were used to measure the BLSTM-CNN-Char (SparkNLP) model in the Biomedical Named Entity Recognition at Scale paper on the AnatEM dataset? | F1 |
What metrics were used to measure the aimped model in the paper on the AnatEM dataset? | F1 |
What metrics were used to measure the BertForTokenClassification (Spark NLP) model in the Accurate clinical and biomedical Named entity recognition at scale paper on the AnatEM dataset? | F1 |
What metrics were used to measure the Att-BiLSTM-CRF model in the An attention-based BiLSTM-CRF approach to document-level chemical named entity recognition paper on the BC4CHEMD dataset? | F1 |
What metrics were used to measure the aimped model in the paper on the BC4CHEMD dataset? | F1 |
What metrics were used to measure the BLSTM-CNN-Char (SparkNLP) model in the Biomedical Named Entity Recognition at Scale paper on the BC4CHEMD dataset? | F1 |
What metrics were used to measure the BertForTokenClassification (Spark NLP) model in the Accurate clinical and biomedical Named entity recognition at scale paper on the BC4CHEMD dataset? | F1 |
What metrics were used to measure the SWEM-CRF model in the Baseline Needs More Love: On Simple Word-Embedding-Based Models and Associated Pooling Mechanisms paper on the CoNLL 2000 dataset? | F1 |
What metrics were used to measure the SciDeBERTa (CS) model in the SciDeBERTa: Learning DeBERTa for Science Technology Documents and Fine-Tuning Information Extraction Tasks paper on the SciERC dataset? | F1 |
What metrics were used to measure the SpERT model in the Span-based Joint Entity and Relation Extraction with Transformer Pre-training paper on the SciERC dataset? | F1 |
What metrics were used to measure the RDANER model in the A Robust and Domain-Adaptive Approach for Low-Resource Named Entity Recognition paper on the SciERC dataset? | F1 |
What metrics were used to measure the Ours: cross-sentence model in the A Frustratingly Easy Approach for Entity and Relation Extraction paper on the SciERC dataset? | F1 |
What metrics were used to measure the SciBERT (SciVocab) model in the SciBERT: A Pretrained Language Model for Scientific Text paper on the SciERC dataset? | F1 |
What metrics were used to measure the SciBERT (Base Vocab) model in the SciBERT: A Pretrained Language Model for Scientific Text paper on the SciERC dataset? | F1 |
What metrics were used to measure the BERT Base model in the BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding paper on the SciERC dataset? | F1 |
What metrics were used to measure the SCIIE model in the Multi-Task Identification of Entities, Relations, and Coreference for Scientific Knowledge Graph Construction paper on the SciERC dataset? | F1 |
What metrics were used to measure the Bi-LSTM-CRF (SSC->GSC) model in the Investigating Software Usage in the Social Sciences: A Knowledge Graph Approach paper on the SoSciSoCi dataset? | F1, Precision, Recall |
What metrics were used to measure the UNER XML-R model in the Universal NER: A Gold-Standard Multilingual Named Entity Recognition Benchmark paper on the UNER v1 (Chinese Simplified) dataset? | F1 (micro) |
What metrics were used to measure the mgsohrab model in the mgsohrab at WNUT 2020 Shared Task-1: Neural Exhaustive Approach for Entity and Relation Recognition Over Wet Lab Protocols paper on the WNUT 2020 dataset? | F1, Precision, Recall |
What metrics were used to measure the IITKGP model in the Domain specific BERT representation for Named Entity Recognition of lab protocol paper on the WNUT 2020 dataset? | F1, Precision, Recall |
What metrics were used to measure the Baseline model in the WNUT-2020 Task 1 Overview: Extracting Entities and Relations from Wet Lab Protocols paper on the WNUT 2020 dataset? | F1, Precision, Recall |
What metrics were used to measure the KB-both model in the Injecting Knowledge Base Information into End-to-End Joint Entity and Relation Extraction and Coreference Resolution paper on the DWIE dataset? | F1-Hard |
What metrics were used to measure the Joint+RelProp model in the DWIE: an entity-centric dataset for multi-task document-level information extraction paper on the DWIE dataset? | F1-Hard |
What metrics were used to measure the Marcell model in the Named Entity Recognition in the Romanian Legal Domain paper on the LegalNERo dataset? | Avg F1 |
What metrics were used to measure the BiLSTM with ELMo model in the MASK: A flexible framework to facilitate de-identification of clinical texts paper on the i2b2 De-identification Dataset dataset? | F1, Precision |
What metrics were used to measure the Spark NLP model in the Biomedical Named Entity Recognition at Scale paper on the BC5CDR-chemical dataset? | F1 |
What metrics were used to measure the SciFive-Large model in the SciFive: a text-to-text transformer model for biomedical literature paper on the BC5CDR-chemical dataset? | F1 |
What metrics were used to measure the HGN model in the Hero-Gang Neural Model For Named Entity Recognition paper on the BC5CDR-chemical dataset? | F1 |
What metrics were used to measure the DistilBioBERT model in the On the Effectiveness of Compact Biomedical Transformers paper on the BC5CDR-chemical dataset? | F1 |
What metrics were used to measure the BioDistilBERT model in the On the Effectiveness of Compact Biomedical Transformers paper on the BC5CDR-chemical dataset? | F1 |
What metrics were used to measure the CompactBioBERT model in the On the Effectiveness of Compact Biomedical Transformers paper on the BC5CDR-chemical dataset? | F1 |
What metrics were used to measure the BioMobileBERT model in the On the Effectiveness of Compact Biomedical Transformers paper on the BC5CDR-chemical dataset? | F1 |
What metrics were used to measure the BioKMNER + BioBERT model in the Improving Biomedical Named Entity Recognition with Syntactic Information paper on the BC5CDR-chemical dataset? | F1 |
What metrics were used to measure the BioLinkBERT (large) model in the LinkBERT: Pretraining Language Models with Document Links paper on the BC5CDR-chemical dataset? | F1 |
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