task_path stringlengths 3 199 ⌀ | dataset stringlengths 1 128 ⌀ | model_name stringlengths 1 223 ⌀ | paper_url stringlengths 21 601 ⌀ | metric_name stringlengths 1 50 ⌀ | metric_value stringlengths 1 9.22k ⌀ |
|---|---|---|---|---|---|
Relation Extraction | DDI | BioLinkBERT (large) | https://arxiv.org/abs/2203.15827v1 | Micro F1 | 83.35 |
Relation Extraction | DDI | BioLinkBERT (large) | https://arxiv.org/abs/2203.15827v1 | F1 | 83.35 |
Relation Extraction | DDI | KeBioLM | https://arxiv.org/abs/2104.10344v1 | F1 | 81.9 |
Relation Extraction | DDI | PubMedBERT uncased | https://arxiv.org/abs/2007.15779v6 | Micro F1 | 82.36 |
Relation Extraction | Dataset: Relationship extraction for knowledge graph creation from biomedical literature (Gene-Disease relationships) n | DistilBERT | https://arxiv.org/abs/2201.01647v4 | F1 | 89 |
Relation Extraction | SemEval 2018 Task 10 | SVM with GloVe | https://aclanthology.org/S18-1118 | F1-Score | 0.76 |
Relation Extraction | SemEval 2018 Task 10 | SVM with ConceptNet, Wikipedia articles and WordNet synonyms | http://arxiv.org/abs/1806.01733v2 | F1-Score | 0.74 |
Relation Extraction | SemEval 2018 Task 10 | Gradient boosting with co-occurrence count features and JoBimText features | http://arxiv.org/abs/1804.11251v1 | F1-Score | 0.73 |
Relation Extraction | SemEval 2018 Task 10 | LexVec, word co-occurrence, and ConceptNet data combined using maximum entropy classifier | https://aclanthology.org/S18-1153 | F1-Score | 0.72 |
Relation Extraction | SemEval 2018 Task 10 | Composes explicit vector spaces from WordNet Definitions, ConceptNet and Visual Genome | https://arxiv.org/abs/1909.05363v1 | F1-Score | 0.69 |
Relation Extraction | SemEval 2018 Task 10 | Use of Wikipedia and ConceptNet Transp. (No expl.) | https://aclanthology.org/S18-1159 | F1-Score | 0.69 |
Relation Extraction | NYT | ReLiK-Large | https://arxiv.org/abs/2408.00103v3 | F1 | 95 |
Relation Extraction | NYT | ReLiK-Base | https://arxiv.org/abs/2408.00103v3 | F1 | 94.8 |
Relation Extraction | NYT | ReLiK-Small | https://arxiv.org/abs/2408.00103v3 | F1 | 94.4 |
Relation Extraction | NYT | UniRel | https://arxiv.org/abs/2211.09039v1 | F1 | 93.7 |
Relation Extraction | NYT | REBEL (no pre-training) | https://github.com/Babelscape/rebel | F1 | 93.1 |
Relation Extraction | NYT | SPN | https://arxiv.org/abs/2011.01675v2 | F1 | 92.5 |
Relation Extraction | NYT | TDEER | https://aclanthology.org/2021.emnlp-main.635 | F1 | 92.5 |
Relation Extraction | NYT | DIRECT | https://arxiv.org/abs/2106.01559v1 | F1 | 92.5 |
Relation Extraction | Google RE | RELA | https://arxiv.org/abs/2212.14266v2 | F1 | 93.9 |
Relation Extraction | NYT29 | WDec | https://arxiv.org/abs/1911.09886v1 | F1 | 71.6 |
Relation Extraction | NYT29 | PNDec | https://arxiv.org/abs/1911.09886v1 | F1 | 67.3 |
Relation Extraction | NYT29 | HRLRE | http://arxiv.org/abs/1811.03925v1 | F1 | 64.3 |
Relation Extraction | GDA | SAISORE+CR+ET-SciBERT | https://arxiv.org/abs/2109.12093v2 | F1 | 87.1 |
Relation Extraction | GDA | Dense-CCNet-SciBERTbase | https://arxiv.org/abs/2203.13953v1 | F1 | 86.44 |
Relation Extraction | GDA | DRE-MIR-SciBERT | https://arxiv.org/abs/2204.09851v2 | F1 | 86.4 |
Relation Extraction | GDA | DocuNet-SciBERTbase | https://arxiv.org/abs/2106.03618v2 | F1 | 85.3 |
Relation Extraction | GDA | seq2rel (entity hinting) | https://arxiv.org/abs/2204.01098v2 | F1 | 84.9 |
Relation Extraction | GDA | CGM2IR-SciBERTbase | https://arxiv.org/abs/2201.04826v1 | F1 | 84.7 |
Relation Extraction | GDA | SciBERT-ATLOPBASE | https://arxiv.org/abs/2010.11304v3 | F1 | 83.9 |
Relation Extraction | GDA | SSANBiaffine | https://arxiv.org/abs/2102.10249v1 | F1 | 83.9 |
Relation Extraction | GDA | LSR w/o MDP Nodes | https://arxiv.org/abs/2005.06312v3 | F1 | 82.2 |
Relation Extraction | FewRel | RoCORE | https://arxiv.org/abs/2109.07205v1 | F1 | 79.611 |
Relation Extraction | FewRel | ERNIE | https://arxiv.org/abs/1905.07129v3 | F1 | 88.32 |
Relation Extraction | FewRel | ERNIE | https://arxiv.org/abs/1905.07129v3 | Precision | 88.49 |
Relation Extraction | FewRel | ERNIE | https://arxiv.org/abs/1905.07129v3 | Recall | 88.44 |
Relation Extraction | WebNLG | UniRel | https://arxiv.org/abs/2211.09039v1 | F1 | 94.7 |
Relation Extraction | WebNLG | PFN | https://arxiv.org/abs/2108.12202v8 | F1 | 93.6 |
Relation Extraction | WebNLG | PFN | https://arxiv.org/abs/2108.12202v8 | NER Micro F1 | 98.0 |
Relation Extraction | WebNLG | SPN | https://arxiv.org/abs/2011.01675v2 | F1 | 93.4 |
Relation Extraction | WebNLG | TDEER | https://aclanthology.org/2021.emnlp-main.635 | F1 | 93.1 |
Relation Extraction | WebNLG | RIFRE | https://www.sciencedirect.com/science/article/pii/S0950705121001519 | F1 | 92.6 |
Relation Extraction | WebNLG | TPLinker | https://arxiv.org/abs/2010.13415v1 | F1 | 91.9 |
Relation Extraction | WebNLG | HBT (CasRel) | https://arxiv.org/abs/1909.03227v4 | F1 | 91.8 |
Relation Extraction | WebNLG | RIN (BERT, K=2) | https://arxiv.org/abs/2005.00162v2 | F1 | 90.1 |
Relation Extraction | WebNLG | CGT(UniLM) | https://arxiv.org/abs/2009.06207v8 | F1 | 83.4 |
Relation Extraction | WebNLG | ETL-Span | https://arxiv.org/abs/1909.04273v3 | F1 | 83.1 |
Relation Extraction | WebNLG | RSAN | https://www.ijcai.org/Proceedings/2020/561 | F1 | 82.1 |
Relation Extraction | WebNLG | CopyRE' OneDecoder | https://arxiv.org/abs/1911.10438v2 | F1 | 60.5 |
Relation Extraction | WebNLG | CopyRE MultiDecoder | https://aclanthology.org/P18-1047 | F1 | 37.1 |
Relation Extraction | WebNLG | NovelTagging | http://arxiv.org/abs/1706.05075v1 | F1 | 28.3 |
Relation Extraction | NYT10-HRL | ReRe | https://arxiv.org/abs/2105.10158v1 | F1 | 73.95 |
Relation Extraction | NYT10-HRL | ReRe (exact) | https://arxiv.org/abs/2105.10158v1 | F1 | 73.4 |
Relation Extraction | NYT10-HRL | TPLinker | https://arxiv.org/abs/2010.13415v1 | F1 | 72.45 |
Relation Extraction | NYT10-HRL | TPLinker Wang et al. (2020)* | https://arxiv.org/abs/2105.10158v1 | F1 | 72.45 |
Relation Extraction | NYT10-HRL | TPLinker | https://arxiv.org/abs/2010.13415v1 | F1 | 71.93 |
Relation Extraction | NYT10-HRL | TPLinker Wang et al. (2020)*(exact) | https://arxiv.org/abs/2105.10158v1 | F1 | 71.93 |
Relation Extraction | NYT10-HRL | CasRel (exact) | https://arxiv.org/abs/1909.03227v4 | F1 | 70.11 |
Relation Extraction | NYT10-HRL | CasRel (exact) | https://arxiv.org/abs/2105.10158v1 | F1 | 70.11 |
Relation Extraction | NYT10-HRL | HRL | http://arxiv.org/abs/1811.03925v1 | F1 | 64.4 |
Relation Extraction | NYT10-HRL | HRL Takanobu et al. (2019) | https://arxiv.org/abs/2105.10158v1 | F1 | 64.4 |
Relation Extraction | ChemProt | SciBert (Finetune) | https://arxiv.org/abs/1903.10676v3 | F1 | 83.64 |
Relation Extraction | ChemProt | BioM-BERT | https://aclanthology.org/2021.bionlp-1.24 | F1 | 80.0 |
Relation Extraction | ChemProt | BioLinkBERT (large) | https://arxiv.org/abs/2203.15827v1 | F1 | 79.98 |
Relation Extraction | ChemProt | BioLinkBERT (large) | https://arxiv.org/abs/2203.15827v1 | Micro F1 | 79.98 |
Relation Extraction | ChemProt | SciFive Large | https://arxiv.org/abs/2106.03598v1 | F1 | 78 |
Relation Extraction | ChemProt | KeBioLM | https://arxiv.org/abs/2104.10344v1 | F1 | 77.5 |
Relation Extraction | ChemProt | BioT5X (base) | https://arxiv.org/abs/2106.03598v1 | F1 | 77.40 |
Relation Extraction | ChemProt | BioMegatron | https://arxiv.org/abs/2010.06060v2 | F1 | 77.0 |
Relation Extraction | ChemProt | BioBERT | https://arxiv.org/abs/1901.08746v4 | F1 | 76.46 |
Relation Extraction | ChemProt | NCBI_BERT(large) (P) | https://arxiv.org/abs/1906.05474v2 | F1 | 74.4 |
Relation Extraction | ChemProt | SciBERT (Base Vocab) | https://arxiv.org/abs/1903.10676v3 | F1 | 73.7 |
Relation Extraction | ChemProt | ELECTRAMed | https://arxiv.org/abs/2104.09585v1 | F1 | 72.94 |
Relation Extraction | ChemProt | PubMedBERT uncased | https://arxiv.org/abs/2007.15779v6 | Micro F1 | 77.24 |
Relation Extraction | ChemProt | CharacterBERT (base, medical) | https://arxiv.org/abs/2010.10392v3 | Micro F1 | 73.44 |
Relation Extraction | WNUT 2020 | Baseline | https://arxiv.org/abs/2010.14576v3 | Precision | 80.1 |
Relation Extraction | WNUT 2020 | Baseline | https://arxiv.org/abs/2010.14576v3 | Recall | 66.21 |
Relation Extraction | WNUT 2020 | Baseline | https://arxiv.org/abs/2010.14576v3 | F1 | 72.5 |
Relation Extraction | Adverse Drug Events (ADE) Corpus | ITER | https://aclanthology.org/2024.findings-emnlp.655/ | RE+ Macro F1 | 85.6 ± 1.42 |
Relation Extraction | Adverse Drug Events (ADE) Corpus | ITER | https://aclanthology.org/2024.findings-emnlp.655/ | NER Macro F1 | 92.63 ± 0.89 |
Relation Extraction | Adverse Drug Events (ADE) Corpus | PFN (ALBERT XXL, average aggregation) | https://arxiv.org/abs/2303.15100v2 | RE+ Macro F1 | 83.9 |
Relation Extraction | Adverse Drug Events (ADE) Corpus | PFN (ALBERT XXL, average aggregation) | https://arxiv.org/abs/2303.15100v2 | NER Macro F1 | 91.5 |
Relation Extraction | Adverse Drug Events (ADE) Corpus | Deeper | https://arxiv.org/abs/2002.06424v1 | RE+ Macro F1 | 83.74 |
Relation Extraction | Adverse Drug Events (ADE) Corpus | Deeper | https://arxiv.org/abs/2002.06424v1 | NER Macro F1 | 89.48 |
Relation Extraction | Adverse Drug Events (ADE) Corpus | PFN (ALBERT XXL, no aggregation) | https://arxiv.org/abs/2108.12202v8 | RE+ Macro F1 | 83.2 |
Relation Extraction | Adverse Drug Events (ADE) Corpus | PFN (ALBERT XXL, no aggregation) | https://arxiv.org/abs/2108.12202v8 | NER Macro F1 | 91.3 |
Relation Extraction | Adverse Drug Events (ADE) Corpus | SpERT.PL (without overlap and BioBERT) | http://ceur-ws.org/Vol-3004/paper2.pdf | RE+ Macro F1 | 82.39 |
Relation Extraction | Adverse Drug Events (ADE) Corpus | SpERT.PL (without overlap and BioBERT) | http://ceur-ws.org/Vol-3004/paper2.pdf | NER Macro F1 | 91.14 |
Relation Extraction | Adverse Drug Events (ADE) Corpus | REBEL (including overlapping entities) | https://github.com/Babelscape/rebel | RE+ Macro F1 | 82.2 |
Relation Extraction | Adverse Drug Events (ADE) Corpus | SpERT.PL (with overlap and BioBERT) | http://ceur-ws.org/Vol-3004/paper2.pdf | RE+ Macro F1 | 82.03 |
Relation Extraction | Adverse Drug Events (ADE) Corpus | SpERT.PL (with overlap and BioBERT) | http://ceur-ws.org/Vol-3004/paper2.pdf | NER Macro F1 | 91.17 |
Relation Extraction | Adverse Drug Events (ADE) Corpus | CMAN | https://www.ijcai.org/Proceedings/2020/558 | RE+ Macro F1 | 81.14 |
Relation Extraction | Adverse Drug Events (ADE) Corpus | CMAN | https://www.ijcai.org/Proceedings/2020/558 | NER Macro F1 | 89.40 |
Relation Extraction | Adverse Drug Events (ADE) Corpus | Table-Sequence | https://arxiv.org/abs/2010.03851v1 | RE+ Macro F1 | 80.1 |
Relation Extraction | Adverse Drug Events (ADE) Corpus | Table-Sequence | https://arxiv.org/abs/2010.03851v1 | NER Macro F1 | 89.7 |
Relation Extraction | Adverse Drug Events (ADE) Corpus | Table-Sequence | https://arxiv.org/abs/2010.03851v1 | RE Macro F1 | 80.1 |
Relation Extraction | Adverse Drug Events (ADE) Corpus | CLDR + CLNER | https://arxiv.org/abs/2109.00840v2 | RE+ Macro F1 | 79.97 |
Relation Extraction | Adverse Drug Events (ADE) Corpus | CLDR + CLNER | https://arxiv.org/abs/2109.00840v2 | NER Macro F1 | 88.3 |
Relation Extraction | Adverse Drug Events (ADE) Corpus | SpERT (without overlap) | https://arxiv.org/abs/1909.07755v4 | RE+ Macro F1 | 79.24 |
Relation Extraction | Adverse Drug Events (ADE) Corpus | SpERT (without overlap) | https://arxiv.org/abs/1909.07755v4 | NER Macro F1 | 89.25 |
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