prompts stringlengths 81 413 | metrics_response stringlengths 0 371 |
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What metrics were used to measure the CompactBioBERT model in the On the Effectiveness of Compact Biomedical Transformers paper on the BC5CDR-disease dataset? | F1 |
What metrics were used to measure the BioMobileBERT model in the On the Effectiveness of Compact Biomedical Transformers paper on the BC5CDR-disease dataset? | F1 |
What metrics were used to measure the ConNER model in the Enhancing Label Consistency on Document-level Named Entity Recognition paper on the Gellus dataset? | F1 (%) |
What metrics were used to measure the DeepStruct multi-task w/ finetune model in the DeepStruct: Pretraining of Language Models for Structure Prediction paper on the GENIA dataset? | F1 |
What metrics were used to measure the Biaffine-NER model in the Named Entity Recognition as Dependency Parsing paper on the GENIA dataset? | F1 |
What metrics were used to measure the DeepStruct multi-task model in the DeepStruct: Pretraining of Language Models for Structure Prediction paper on the GENIA dataset? | F1 |
What metrics were used to measure the seq2seq+BERT+Flair model in the Neural Architectures for Nested NER through Linearization paper on the GENIA dataset? | F1 |
What metrics were used to measure the Second-best learning and decoding + BERT + Flair model in the Nested Named Entity Recognition via Second-best Sequence Learning and Decoding paper on the GENIA dataset? | F1 |
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 GENIA dataset? | F1 |
What metrics were used to measure the BiFlaG model in the Bipartite Flat-Graph Network for Nested Named Entity Recognition paper on the GENIA dataset? | F1 |
What metrics were used to measure the Neural segmental hypergraphs model in the Neural Segmental Hypergraphs for Overlapping Mention Recognition paper on the GENIA dataset? | F1 |
What metrics were used to measure the Anchor-Region Networks model in the Sequence-to-Nuggets: Nested Entity Mention Detection via Anchor-Region Networks paper on the GENIA dataset? | F1 |
What metrics were used to measure the Neural layered model model in the A Neural Layered Model for Nested Named Entity Recognition paper on the GENIA dataset? | F1 |
What metrics were used to measure the Boundary-aware neural model model in the A Boundary-aware Neural Model for Nested Named Entity Recognition paper on the GENIA dataset? | F1 |
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 GENIA dataset? | F1 |
What metrics were used to measure the Deepstruct zero-shot model in the DeepStruct: Pretraining of Language Models for Structure Prediction paper on the GENIA 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 LINNAEUS dataset? | F1 |
What metrics were used to measure the Spark NLP model in the Biomedical Named Entity Recognition at Scale paper on the LINNAEUS 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 LINNAEUS dataset? | F1 |
What metrics were used to measure the aimped model in the paper on the LINNAEUS 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 Species800 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 Species800 dataset? | F1 |
What metrics were used to measure the LSTM-CRF model in the LeNER-Br: a Dataset for Named Entity Recognition in Brazilian Legal Text paper on the LeNER-Br dataset? | Micro F1 (Exact Span), Micro F1 (Tokens) |
What metrics were used to measure the AlephBERT-base Pipeline model in the AlephBERT:A Hebrew Large Pre-Trained Language Model to Start-off your Hebrew NLP Application With paper on the NEMO-Corpus (morph,test) dataset? | F1 |
What metrics were used to measure the AlephBERT-base MultiTask model in the AlephBERT:A Hebrew Large Pre-Trained Language Model to Start-off your Hebrew NLP Application With paper on the NEMO-Corpus (morph,test) dataset? | F1 |
What metrics were used to measure the LSTM-CharCNN-CRF morph hybrid model in the Neural Modeling for Named Entities and Morphology (NEMO^2) paper on the NEMO-Corpus (morph,test) dataset? | F1 |
What metrics were used to measure the WORD_GAZ model in the The Utility and Interplay of Gazetteers and Entity Segmentation for Named Entity Recognition in English paper on the Broad Twitter Corpus dataset? | Entity F1 |
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 (Swedish) dataset? | F1 (micro) |
What metrics were used to measure the Noise-robust Co-regularization + LUKE model in the Learning from Noisy Labels for Entity-Centric Information Extraction paper on the CoNLL++ 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 CoNLL++ dataset? | F1 |
What metrics were used to measure the CrossWeigh + Pooled Flair model in the CrossWeigh: Training Named Entity Tagger from Imperfect Annotations paper on the CoNLL++ dataset? | F1 |
What metrics were used to measure the Pooled Flair model in the CrossWeigh: Training Named Entity Tagger from Imperfect Annotations paper on the CoNLL++ dataset? | F1 |
What metrics were used to measure the Noise-robust Co-regularization + BERT-large model in the Learning from Noisy Labels for Entity-Centric Information Extraction paper on the CoNLL++ dataset? | F1 |
What metrics were used to measure the BiLSTM-CRF+ELMo model in the Deep contextualized word representations paper on the CoNLL++ dataset? | F1 |
What metrics were used to measure the BiLSTM-CNN-CRF model in the End-to-end Sequence Labeling via Bi-directional LSTM-CNNs-CRF paper on the CoNLL++ dataset? | F1 |
What metrics were used to measure the LSTM-CRF model in the Neural Architectures for Named Entity Recognition paper on the CoNLL++ dataset? | F1 |
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 (Portuguese) dataset? | F1 (micro) |
What metrics were used to measure the Spark NLP model in the Mining Adverse Drug Reactions from Unstructured Mediums at Scale paper on the Adverse Drug Events (ADE) Corpus dataset? | NER Macro F1 |
What metrics were used to measure the KeBioLM model in the Improving Biomedical Pretrained Language Models with Knowledge paper on the JNLPBA 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 JNLPBA dataset? | F1 |
What metrics were used to measure the Spark NLP model in the Biomedical Named Entity Recognition at Scale paper on the JNLPBA dataset? | F1 |
What metrics were used to measure the BINDER model in the Optimizing Bi-Encoder for Named Entity Recognition via Contrastive Learning paper on the JNLPBA dataset? | F1 |
What metrics were used to measure the BioMobileBERT model in the On the Effectiveness of Compact Biomedical Transformers paper on the JNLPBA dataset? | F1 |
What metrics were used to measure the BioLinkBERT (large) model in the LinkBERT: Pretraining Language Models with Document Links paper on the JNLPBA dataset? | F1 |
What metrics were used to measure the DistilBioBERT model in the On the Effectiveness of Compact Biomedical Transformers paper on the JNLPBA dataset? | F1 |
What metrics were used to measure the CompactBioBERT model in the On the Effectiveness of Compact Biomedical Transformers paper on the JNLPBA dataset? | F1 |
What metrics were used to measure the PubMedBERT uncased model in the Domain-Specific Language Model Pretraining for Biomedical Natural Language Processing paper on the JNLPBA dataset? | F1 |
What metrics were used to measure the BioDistilBERT model in the On the Effectiveness of Compact Biomedical Transformers paper on the JNLPBA 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 JNLPBA dataset? | F1 |
What metrics were used to measure the aimped model in the paper on the JNLPBA dataset? | F1 |
What metrics were used to measure the BioBERT model in the BioBERT: a pre-trained biomedical language representation model for biomedical text mining paper on the JNLPBA 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 JNLPBA 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 JNLPBA dataset? | F1 |
What metrics were used to measure the MINER model in the MINER: Improving Out-of-Vocabulary Named Entity Recognition from an Information Theoretic Perspective paper on the JNLPBA 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 JNLPBA dataset? | F1 |
What metrics were used to measure the FLERT XLM-R model in the FLERT: Document-Level Features for Named Entity Recognition paper on the CoNLL 2003 (German) Revised dataset? | F1 |
What metrics were used to measure the ACE + document-context model in the Automated Concatenation of Embeddings for Structured Prediction paper on the CoNLL 2003 (German) Revised dataset? | F1 |
What metrics were used to measure the ACE model in the Automated Concatenation of Embeddings for Structured Prediction paper on the CoNLL 2003 (German) Revised dataset? | F1 |
What metrics were used to measure the Biaffine-NER model in the Named Entity Recognition as Dependency Parsing paper on the CoNLL 2003 (German) Revised dataset? | F1 |
What metrics were used to measure the Flair model in the Contextual String Embeddings for Sequence Labeling paper on the CoNLL 2003 (German) Revised dataset? | F1 |
What metrics were used to measure the DyGIE model in the A General Framework for Information Extraction using Dynamic Span Graphs paper on the WLPC dataset? | F1 |
What metrics were used to measure the SpanRel model in the Generalizing Natural Language Analysis through Span-relation Representations paper on the WLPC 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 2005 dataset? | F1 |
What metrics were used to measure the GoLLIE model in the GoLLIE: Annotation Guidelines improve Zero-Shot Information-Extraction paper on the ACE 2005 dataset? | F1 |
What metrics were used to measure the PromptNER [RoBERTa-large] model in the PromptNER: Prompt Locating and Typing for Named Entity Recognition paper on the ACE 2005 dataset? | F1 |
What metrics were used to measure the PIQN model in the Parallel Instance Query Network for Named Entity Recognition paper on the ACE 2005 dataset? | F1 |
What metrics were used to measure the PromptNER [BERT-large] model in the PromptNER: Prompt Locating and Typing for Named Entity Recognition paper on the ACE 2005 dataset? | F1 |
What metrics were used to measure the DiffusionNER model in the DiffusionNER: Boundary Diffusion for Named Entity Recognition paper on the ACE 2005 dataset? | F1 |
What metrics were used to measure the BERT-MRC model in the A Unified MRC Framework for Named Entity Recognition paper on the ACE 2005 dataset? | F1 |
What metrics were used to measure the Locate and Label model in the Locate and Label: A Two-stage Identifier for Nested Named Entity Recognition paper on the ACE 2005 dataset? | F1 |
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 2005 dataset? | F1 |
What metrics were used to measure the Biaffine-NER model in the Named Entity Recognition as Dependency Parsing paper on the ACE 2005 dataset? | F1 |
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 2005 dataset? | F1 |
What metrics were used to measure the seq2seq+BERT+Flair model in the Neural Architectures for Nested NER through Linearization paper on the ACE 2005 dataset? | F1 |
What metrics were used to measure the Merge and Label model in the Merge and Label: A novel neural network architecture for nested NER paper on the ACE 2005 dataset? | F1 |
What metrics were used to measure the MGNER model in the Multi-Grained Named Entity Recognition paper on the ACE 2005 dataset? | F1 |
What metrics were used to measure the BiFlaG model in the Bipartite Flat-Graph Network for Nested Named Entity Recognition paper on the ACE 2005 dataset? | F1 |
What metrics were used to measure the Anchor-Region Networks model in the Sequence-to-Nuggets: Nested Entity Mention Detection via Anchor-Region Networks paper on the ACE 2005 dataset? | F1 |
What metrics were used to measure the Neural segmental hypergraphs model in the Neural Segmental Hypergraphs for Overlapping Mention Recognition paper on the ACE 2005 dataset? | F1 |
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 2005 dataset? | F1 |
What metrics were used to measure the Neural layered model model in the A Neural Layered Model for Nested Named Entity Recognition paper on the ACE 2005 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 2017 dataset? | F1, F1 (surface form), Precision, Recall |
What metrics were used to measure the BERT-CRF (Replicated in AdaSeq) model in the Improving Named Entity Recognition by External Context Retrieving and Cooperative Learning paper on the WNUT 2017 dataset? | F1, F1 (surface form), Precision, Recall |
What metrics were used to measure the BERT + RegLER model in the Regularization for Long Named Entity Recognition paper on the WNUT 2017 dataset? | F1, F1 (surface form), Precision, Recall |
What metrics were used to measure the TNER -xlm-r-large model in the T-NER: An All-Round Python Library for Transformer-based Named Entity Recognition paper on the WNUT 2017 dataset? | F1, F1 (surface form), Precision, Recall |
What metrics were used to measure the HGN model in the Hero-Gang Neural Model For Named Entity Recognition paper on the WNUT 2017 dataset? | F1, F1 (surface form), Precision, Recall |
What metrics were used to measure the ASA + RoBERTa model in the Adversarial Self-Attention for Language Understanding paper on the WNUT 2017 dataset? | F1, F1 (surface form), Precision, Recall |
What metrics were used to measure the BERTweet model in the BERTweet: A pre-trained language model for English Tweets paper on the WNUT 2017 dataset? | F1, F1 (surface form), Precision, Recall |
What metrics were used to measure the MINER model in the MINER: Improving Out-of-Vocabulary Named Entity Recognition from an Information Theoretic Perspective paper on the WNUT 2017 dataset? | F1, F1 (surface form), Precision, Recall |
What metrics were used to measure the GoLLIE model in the GoLLIE: Annotation Guidelines improve Zero-Shot Information-Extraction paper on the WNUT 2017 dataset? | F1, F1 (surface form), Precision, Recall |
What metrics were used to measure the Truecase model in the Robust Named Entity Recognition with Truecasing Pretraining paper on the WNUT 2017 dataset? | F1, F1 (surface form), 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 WNUT 2017 dataset? | F1, F1 (surface form), Precision, Recall |
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 2017 dataset? | F1, F1 (surface form), Precision, Recall |
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 2017 dataset? | F1, F1 (surface form), Precision, Recall |
What metrics were used to measure the CrossWeigh + Pooled Flair model in the CrossWeigh: Training Named Entity Tagger from Imperfect Annotations paper on the WNUT 2017 dataset? | F1, F1 (surface form), Precision, Recall |
What metrics were used to measure the ASA + BERT-base model in the Adversarial Self-Attention for Language Understanding paper on the WNUT 2017 dataset? | F1, F1 (surface form), Precision, Recall |
What metrics were used to measure the BERT-BiLSTM-context model in the Supplementary Features of BiLSTM for Enhanced Sequence Labeling paper on the WNUT 2017 dataset? | F1, F1 (surface form), Precision, Recall |
What metrics were used to measure the Aguilar et al. model in the Modeling Noisiness to Recognize Named Entities using Multitask Neural Networks on Social Media paper on the WNUT 2017 dataset? | F1, F1 (surface form), Precision, Recall |
What metrics were used to measure the NeuralCRF+SAC model in the Similarity Based Auxiliary Classifier for Named Entity Recognition paper on the WNUT 2017 dataset? | F1, F1 (surface form), Precision, Recall |
What metrics were used to measure the Cross-BiLSTM-CNN model in the Why Attention? Analyze BiLSTM Deficiency and Its Remedies in the Case of NER paper on the WNUT 2017 dataset? | F1, F1 (surface form), Precision, Recall |
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