prompts stringlengths 81 413 | metrics_response stringlengths 0 371 |
|---|---|
What metrics were used to measure the BiLSTMCRFBP 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 UH-RiTUAL model in the A Multi-task Approach for Named Entity Recognition in Social Media Data paper on the WNUT 2017 dataset? | F1, F1 (surface form), Precision, Recall |
What metrics were used to measure the SpinningBytes model in the Transfer Learning and Sentence Level Features for Named Entity Recognition on Tweets paper on the WNUT 2017 dataset? | F1, F1 (surface form), Precision, Recall |
What metrics were used to measure the POS Tagger, Prefix, Suffix, k-Neighbor Words, k-means clustering model in the BanglaCoNER: Towards Robust Bangla Complex Named Entity Recognition paper on the SemEval 2022 - BanglaCoNER dataset? | F1 |
What metrics were used to measure the PubMedBERT-CRF model in the BioRED: A Rich Biomedical Relation Extraction Dataset paper on the BioRED dataset? | F1 |
What metrics were used to measure the BioBERT-CRF model in the BioRED: A Rich Biomedical Relation Extraction Dataset paper on the BioRED dataset? | F1 |
What metrics were used to measure the BiLSTM-CRF model in the BioRED: A Rich Biomedical Relation Extraction Dataset paper on the BioRED 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 2002 (Spanish) dataset? | F1 |
What metrics were used to measure the ACE model in the Automated Concatenation of Embeddings for Structured Prediction paper on the CoNLL 2002 (Spanish) dataset? | F1 |
What metrics were used to measure the Biaffine-NER model in the Named Entity Recognition as Dependency Parsing paper on the CoNLL 2002 (Spanish) 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 2002 (Spanish) dataset? | F1 |
What metrics were used to measure the Straková et al., 2019 model in the Neural Architectures for Nested NER through Linearization paper on the CoNLL 2002 (Spanish) dataset? | F1 |
What metrics were used to measure the Cross-sentence context (CMV) model in the Exploring Cross-sentence Contexts for Named Entity Recognition with BERT paper on the CoNLL 2002 (Spanish) dataset? | F1 |
What metrics were used to measure the AlephBERTGimmel-base MTL model in the Large Pre-Trained Models with Extra-Large Vocabularies: A Contrastive Analysis of Hebrew BERT Models and a New One to Outperform Them All paper on the NEMO-Corpus 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 ACE2005 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 ACE2005 dataset? | 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 CORD-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 CORD-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 CORD-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 CORD-r 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 (Croatian) dataset? | F1 (micro) |
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 (English) dataset? | F1 |
What metrics were used to measure the Co-regularized LUKE model in the Learning from Noisy Labels for Entity-Centric Information Extraction paper on the CoNLL 2003 (English) dataset? | F1 |
What metrics were used to measure the ASP+T5-3B model in the Autoregressive Structured Prediction with Language Models paper on the CoNLL 2003 (English) 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 (English) 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 CoNLL 2003 (English) 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 2003 (English) dataset? | F1 |
What metrics were used to measure the XLNet-GCN model in the Named entity recognition architecture combining contextual and global features paper on the CoNLL 2003 (English) dataset? | F1 |
What metrics were used to measure the ASP+flan-T5-large model in the Autoregressive Structured Prediction with Language Models paper on the CoNLL 2003 (English) 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 CoNLL 2003 (English) dataset? | F1 |
What metrics were used to measure the Cross-sentence context (First) model in the Exploring Cross-sentence Contexts for Named Entity Recognition with BERT paper on the CoNLL 2003 (English) dataset? | F1 |
What metrics were used to measure the Baseline + BS model in the Boundary Smoothing for Named Entity Recognition paper on the CoNLL 2003 (English) 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 (English) dataset? | F1 |
What metrics were used to measure the BERT-CRF model in the Focusing on Potential Named Entities During Active Label Acquisition paper on the CoNLL 2003 (English) dataset? | F1 |
What metrics were used to measure the CNN Large + fine-tune model in the Cloze-driven Pretraining of Self-attention Networks paper on the CoNLL 2003 (English) 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 (English) dataset? | F1 |
What metrics were used to measure the GCDT + BERT-L model in the GCDT: A Global Context Enhanced Deep Transition Architecture for Sequence Labeling paper on the CoNLL 2003 (English) dataset? | F1 |
What metrics were used to measure the I-DARTS + Flair model in the Improved Differentiable Architecture Search for Language Modeling and Named Entity Recognition paper on the CoNLL 2003 (English) 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 2003 (English) dataset? | F1 |
What metrics were used to measure the LSTM-CRF+ELMo+BERT+Flair model in the Neural Architectures for Nested NER through Linearization paper on the CoNLL 2003 (English) dataset? | F1 |
What metrics were used to measure the Hierarchical + BERT model in the Hierarchical Contextualized Representation for Named Entity Recognition paper on the CoNLL 2003 (English) dataset? | F1 |
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 CoNLL 2003 (English) dataset? | F1 |
What metrics were used to measure the BERT-MRC+DSC model in the Dice Loss for Data-imbalanced NLP Tasks paper on the CoNLL 2003 (English) dataset? | F1 |
What metrics were used to measure the XLNet model in the Named entity recognition architecture combining contextual and global features paper on the CoNLL 2003 (English) dataset? | F1 |
What metrics were used to measure the BARTNER model in the A Unified Generative Framework for Various NER Subtasks paper on the CoNLL 2003 (English) dataset? | F1 |
What metrics were used to measure the GoLLIE model in the GoLLIE: Annotation Guidelines improve Zero-Shot Information-Extraction paper on the CoNLL 2003 (English) dataset? | F1 |
What metrics were used to measure the Flair embeddings model in the Contextual String Embeddings for Sequence Labeling paper on the CoNLL 2003 (English) 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 CoNLL 2003 (English) dataset? | F1 |
What metrics were used to measure the W2NER model in the Unified Named Entity Recognition as Word-Word Relation Classification paper on the CoNLL 2003 (English) 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 CoNLL 2003 (English) 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 CoNLL 2003 (English) dataset? | F1 |
What metrics were used to measure the PIQN model in the Parallel Instance Query Network for Named Entity Recognition paper on the CoNLL 2003 (English) dataset? | F1 |
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 CoNLL 2003 (English) dataset? | F1 |
What metrics were used to measure the DiffusionNER model in the DiffusionNER: Boundary Diffusion for Named Entity Recognition paper on the CoNLL 2003 (English) dataset? | F1 |
What metrics were used to measure the HSCRF + softdict model in the Towards Improving Neural Named Entity Recognition with Gazetteers paper on the CoNLL 2003 (English) dataset? | F1 |
What metrics were used to measure the TENER model in the TENER: Adapting Transformer Encoder for Named Entity Recognition paper on the CoNLL 2003 (English) dataset? | F1 |
What metrics were used to measure the CVT + Multi-Task model in the Semi-Supervised Sequence Modeling with Cross-View Training paper on the CoNLL 2003 (English) dataset? | F1 |
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 CoNLL 2003 (English) dataset? | F1 |
What metrics were used to measure the Stack LSTM model in the Joint Learning of Named Entity Recognition and Entity Linking paper on the CoNLL 2003 (English) 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 CoNLL 2003 (English) dataset? | F1 |
What metrics were used to measure the DGLSTM-CRF + ELMo (L=2) 3.0pt1-4.51.5 model in the Dependency-Guided LSTM-CRF for Named Entity Recognition paper on the CoNLL 2003 (English) 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 CoNLL 2003 (English) dataset? | F1 |
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 CoNLL 2003 (English) dataset? | F1 |
What metrics were used to measure the Neural-CRF+AE model in the Evaluating the Utility of Hand-crafted Features in Sequence Labelling paper on the CoNLL 2003 (English) dataset? | F1 |
What metrics were used to measure the MGNER model in the Multi-Grained Named Entity Recognition paper on the CoNLL 2003 (English) dataset? | F1 |
What metrics were used to measure the BiLSTM-CRF+ELMo model in the Deep contextualized word representations paper on the CoNLL 2003 (English) dataset? | F1 |
What metrics were used to measure the DELTA (NER ELMO) model in the DELTA: A DEep learning based Language Technology plAtform paper on the CoNLL 2003 (English) dataset? | F1 |
What metrics were used to measure the SpanRel model in the Generalizing Natural Language Analysis through Span-relation Representations paper on the CoNLL 2003 (English) dataset? | F1 |
What metrics were used to measure the LD-Net model in the Efficient Contextualized Representation: Language Model Pruning for Sequence Labeling paper on the CoNLL 2003 (English) dataset? | F1 |
What metrics were used to measure the GCDT model in the GCDT: A Global Context Enhanced Deep Transition Architecture for Sequence Labeling paper on the CoNLL 2003 (English) dataset? | F1 |
What metrics were used to measure the Hierarchical model in the Hierarchical Contextualized Representation for Named Entity Recognition paper on the CoNLL 2003 (English) dataset? | F1 |
What metrics were used to measure the TagLM model in the Semi-supervised sequence tagging with bidirectional language models paper on the CoNLL 2003 (English) dataset? | F1 |
What metrics were used to measure the CRF + AutoEncoder model in the Evaluating the Utility of Hand-crafted Features in Sequence Labelling paper on the CoNLL 2003 (English) dataset? | F1 |
What metrics were used to measure the PRISM model in the A Prism Module for Semantic Disentanglement in Name Entity Recognition paper on the CoNLL 2003 (English) dataset? | F1 |
What metrics were used to measure the GraphIE (GCN+BiLSTM) model in the paper on the CoNLL 2003 (English) dataset? | F1 |
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 CoNLL 2003 (English) dataset? | F1 |
What metrics were used to measure the IntNet + BiLSTM-CRF model in the Learning Better Internal Structure of Words for Sequence Labeling paper on the CoNLL 2003 (English) dataset? | F1 |
What metrics were used to measure the Yang et al. ([2017a]) model in the Neural Reranking for Named Entity Recognition paper on the CoNLL 2003 (English) dataset? | F1 |
What metrics were used to measure the Bi-LSTM-CNN model in the Named Entity Recognition with Bidirectional LSTM-CNNs paper on the CoNLL 2003 (English) dataset? | F1 |
What metrics were used to measure the S-LSTM model in the Sentence-State LSTM for Text Representation paper on the CoNLL 2003 (English) dataset? | F1 |
What metrics were used to measure the LSTM with dynamic skip model in the Long Short-Term Memory with Dynamic Skip Connections paper on the CoNLL 2003 (English) dataset? | F1 |
What metrics were used to measure the Adversarial Bi-LSTM model in the Robust Multilingual Part-of-Speech Tagging via Adversarial Training paper on the CoNLL 2003 (English) dataset? | F1 |
What metrics were used to measure the HSCRF model in the Hybrid semi-Markov CRF for Neural Sequence Labeling paper on the CoNLL 2003 (English) dataset? | F1 |
What metrics were used to measure the IXA pipes model in the Robust Multilingual Named Entity Recognition with Shallow Semi-Supervised Features paper on the CoNLL 2003 (English) dataset? | F1 |
What metrics were used to measure the NCRF++ model in the NCRF++: An Open-source Neural Sequence Labeling Toolkit paper on the CoNLL 2003 (English) dataset? | F1 |
What metrics were used to measure the Yang et al. model in the Transfer Learning for Sequence Tagging with Hierarchical Recurrent Networks paper on the CoNLL 2003 (English) dataset? | F1 |
What metrics were used to measure the LM-LSTM-CRF model in the Empower Sequence Labeling with Task-Aware Neural Language Model paper on the CoNLL 2003 (English) dataset? | F1 |
What metrics were used to measure the Bi-LSTM-CNN-CRF model in the A Deep Neural Network Model for the Task of Named Entity Recognition paper on the CoNLL 2003 (English) dataset? | F1 |
What metrics were used to measure the BLSTM-CNN-CRF model in the End-to-end Sequence Labeling via Bi-directional LSTM-CNNs-CRF paper on the CoNLL 2003 (English) dataset? | F1 |
What metrics were used to measure the Bi-LSTM + Logic rules model in the Harnessing Deep Neural Networks with Logic Rules paper on the CoNLL 2003 (English) dataset? | F1 |
What metrics were used to measure the LSTM-CRF model in the Neural Architectures for Named Entity Recognition paper on the CoNLL 2003 (English) dataset? | F1 |
What metrics were used to measure the GCN model in the Named entity recognition architecture combining contextual and global features paper on the CoNLL 2003 (English) 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 2003 (English) dataset? | F1 |
What metrics were used to measure the VSL-GG-Hier model in the Variational Sequential Labelers for Semi-Supervised Learning paper on the CoNLL 2003 (English) dataset? | F1 |
What metrics were used to measure the DELTA (NER BLSTM-CRF) model in the DELTA: A DEep learning based Language Technology plAtform paper on the CoNLL 2003 (English) 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 OntoNotes 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 OntoNotes 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 OntoNotes dataset? | F1 |
What metrics were used to measure the BiLSTM-CRF model in the Bidirectional LSTM-CRF Models for Sequence Tagging paper on the FindVehicle dataset? | F1 Score |
What metrics were used to measure the FLERT model in the FLERT: Document-Level Features for Named Entity Recognition paper on the FindVehicle dataset? | F1 Score |
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