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 ⌀ |
|---|---|---|---|---|---|
Dialogue > Multimodal GIF Dialog | GIF Reply Dataset | Pepe the King Prawn | https://arxiv.org/abs/2109.12212v2 | nDCG@10 | 0.8145 |
Dialogue > Persona Dialogue in Story | Harry Potter Dialogue Dataset | BERT-FP | https://arxiv.org/abs/2211.06869v4 | Recall 10@1 | 0.259 |
Dialogue > Workflow Discovery | ABCD | T5-Large | https://arxiv.org/abs/2205.11690v2 | In-domain EM | 55.7 |
Dialogue > Workflow Discovery | ABCD | T5-Large | https://arxiv.org/abs/2205.11690v2 | In-domain CE | 75.8 |
Dialogue > Workflow Discovery | ABCD | T5-Large | https://arxiv.org/abs/2205.11690v2 | Cross-domain EM | 51.8 |
Dialogue > Workflow Discovery | ABCD | T5-Large | https://arxiv.org/abs/2205.11690v2 | Cross-domain CE | 72.3 |
Dialogue > Problem-Solving Deliberation | DeliData | Bag-Of-Annotations + Sol. Tracker | https://arxiv.org/abs/2108.05271v3 | AUC | 0.62 |
Dialogue > Problem-Solving Deliberation | DeliData | Conversation + Sol. Tracker | https://arxiv.org/abs/2108.05271v3 | AUC | 0.53 |
Dialogue > Problem-Solving Deliberation | DeliData | Majority Class Baseline | https://arxiv.org/abs/2108.05271v3 | AUC | 0.50 |
Arabic Sentiment Analysis | !(()&&!|*|*| | hkhk | https://aclanthology.org/2024.conll-1.39/ | 0-shot MRR | nn |
Text-To-Speech Synthesis | HUI speech corpus | Tacotron 2 | https://www.iaria.org/conferences2021/filesCENTRIC21/30009_centric.pdf | Mean Opinion Score | 3.74 |
Text-To-Speech Synthesis | 20000 utterances | Mia | https://arxiv.org/abs/2010.04062v1 | 10-keyword Speech Commands dataset | 16 |
Text-To-Speech Synthesis | Thorsten voice 21.02 neutral | Tacotron 2 | https://www.iaria.org/conferences2021/filesCENTRIC21/30009_centric.pdf | Mean Opinion Score | 3.49 |
Text-To-Speech Synthesis | CMUDict 0.7b | Token-Level Ensemble Distillation | https://arxiv.org/abs/1904.03446v3 | Word Error Rate (WER) | 19.88% |
Text-To-Speech Synthesis | CMUDict 0.7b | Token-Level Ensemble Distillation | https://arxiv.org/abs/1904.03446v3 | Phoneme Error Rate | 4.6% |
Text-To-Speech Synthesis | LJSpeech | NaturalSpeech | https://arxiv.org/abs/2205.04421v2 | Audio Quality MOS | 4.56 |
Text-To-Speech Synthesis | LJSpeech | VITS | https://arxiv.org/abs/2205.04421v2 | Audio Quality MOS | 4.43 |
Text-To-Speech Synthesis | LJSpeech | Grad-TTS + HiFiGAN (1000 steps) | https://arxiv.org/abs/2105.06337v2 | Audio Quality MOS | 4.37 |
Text-To-Speech Synthesis | LJSpeech | Glow-TTS + HiFiGAN | https://arxiv.org/abs/2005.11129v1 | Audio Quality MOS | 4.34 |
Text-To-Speech Synthesis | LJSpeech | FastSpeech 2 + HiFiGAN | https://arxiv.org/abs/2205.04421v2 | Audio Quality MOS | 4.34 |
Text-To-Speech Synthesis | LJSpeech | FastSpeech 2 + HiFiGAN | https://arxiv.org/abs/2006.04558v8 | Audio Quality MOS | 4.32 |
Text-To-Speech Synthesis | LJSpeech | FastDiff (4 steps) | https://arxiv.org/abs/2204.09934v1 | Audio Quality MOS | 4.28 |
Text-To-Speech Synthesis | LJSpeech | FastDiff-TTS | https://arxiv.org/abs/2204.09934v1 | Audio Quality MOS | 4.03 |
Text-To-Speech Synthesis | LJSpeech | Transformer TTS (Mel + WaveGlow) | http://arxiv.org/abs/1809.08895v3 | Audio Quality MOS | 3.88 |
Text-To-Speech Synthesis | LJSpeech | FastSpeech (Mel + WaveGlow) | https://arxiv.org/abs/1905.09263v5 | Audio Quality MOS | 3.84 |
Text-To-Speech Synthesis | LJSpeech | OverFlow | https://arxiv.org/abs/2211.06892v2 | Audio Quality MOS | 3.37 |
Text-To-Speech Synthesis | LJSpeech | OverFlow | https://arxiv.org/abs/2211.06892v2 | Word Error Rate (WER) | 2.30 |
Text-To-Speech Synthesis | LJSpeech | Merlin | https://arxiv.org/abs/1905.09263v5 | Audio Quality MOS | 2.4 |
Text-To-Speech Synthesis | LJSpeech | temp | null | Audio Quality MOS | 1.25 |
Text-To-Speech Synthesis | LJSpeech | Flowtron | https://arxiv.org/abs/2005.05957v3 | Pleasantness MOS | 3.665 |
Text-To-Speech Synthesis | LJSpeech | Tacotron 2 | https://arxiv.org/abs/2005.05957v3 | Pleasantness MOS | 3.521 |
Text-To-Speech Synthesis | LJSpeech | Matcha-TTS | https://arxiv.org/abs/2309.03199v2 | MOS | 3.84 |
Text-To-Speech Synthesis | LJSpeech | Matcha-TTS | https://arxiv.org/abs/2309.03199v2 | WER (%) | 2.09 |
Text-To-Speech Synthesis | Trinity Speech-Gesture Dataset | Match-TTSG | https://arxiv.org/abs/2310.05181v2 | MOS | 3.7 |
Text-To-Speech Synthesis > Prosody Prediction | Helsinki Prosody Corpus | BERT | https://arxiv.org/abs/1908.02262v1 | Accuracy | 83.2 |
Text-To-Speech Synthesis > Prosody Prediction | Helsinki Prosody Corpus | BiLSTM | https://arxiv.org/abs/1908.02262v1 | Accuracy | 82.1 |
Text-To-Speech Synthesis > Prosody Prediction | Helsinki Prosody Corpus | CRF (MarMoT) | https://arxiv.org/abs/1908.02262v1 | Accuracy | 81.8 |
Text-To-Speech Synthesis > Prosody Prediction | Helsinki Prosody Corpus | SVN (Minitagger) | https://arxiv.org/abs/1908.02262v1 | Accuracy | 80.8 |
3D Multi-Person Pose Estimation (root-relative) | MuPoTS-3D | TDBU_Net | https://arxiv.org/abs/2104.01797v2 | 3DPCK | 89.6 |
3D Multi-Person Pose Estimation (root-relative) | MuPoTS-3D | Dual network | https://arxiv.org/abs/2205.00748v3 | 3DPCK | 89.6 |
3D Multi-Person Pose Estimation (root-relative) | MuPoTS-3D | GnTCN | https://arxiv.org/abs/2012.11806v3 | 3DPCK | 87.5 |
3D Multi-Person Pose Estimation (root-relative) | MuPoTS-3D | PIRN | https://arxiv.org/abs/2204.04913v2 | 3DPCK | 85.8 |
3D Multi-Person Pose Estimation (root-relative) | MuPoTS-3D | Temporal Smoothing | https://arxiv.org/abs/2011.00250v1 | 3DPCK | 85.3 |
3D Multi-Person Pose Estimation (root-relative) | MuPoTS-3D | Temporal Smoothing | https://arxiv.org/abs/2011.00250v1 | MPJPE | 103 |
3D Multi-Person Pose Estimation (root-relative) | MuPoTS-3D | GR-M3D | https://arxiv.org/abs/2207.11341v2 | 3DPCK | 84.6 |
3D Multi-Person Pose Estimation (root-relative) | MuPoTS-3D | GR-M3D | https://arxiv.org/abs/2207.11341v2 | AUC | 44.1 |
3D Multi-Person Pose Estimation (root-relative) | MuPoTS-3D | HDNet | https://arxiv.org/abs/2007.08943v1 | 3DPCK | 83.7 |
3D Multi-Person Pose Estimation (root-relative) | MuPoTS-3D | POTR-3D | https://arxiv.org/abs/2309.08644v1 | 3DPCK | 83.7 |
3D Multi-Person Pose Estimation (root-relative) | MuPoTS-3D | Cascaded Dimension-Lifting | https://arxiv.org/abs/2104.03520v1 | 3DPCK | 83.3 |
3D Multi-Person Pose Estimation (root-relative) | MuPoTS-3D | WDSPose | https://arxiv.org/abs/2004.03989v1 | 3DPCK | 82.7 |
3D Multi-Person Pose Estimation (root-relative) | MuPoTS-3D | DAS | https://arxiv.org/abs/2203.07697v4 | 3DPCK | 82.7 |
3D Multi-Person Pose Estimation (root-relative) | MuPoTS-3D | PI-Net | https://arxiv.org/abs/2010.05302v1 | 3DPCK | 82.5 |
3D Multi-Person Pose Estimation (root-relative) | MuPoTS-3D | HMOR | https://arxiv.org/abs/2008.00206v2 | 3DPCK | 82.0 |
3D Multi-Person Pose Estimation (root-relative) | MuPoTS-3D | 3DMPPE_POSENET | https://arxiv.org/abs/1907.11346v2 | 3DPCK | 81.8 |
3D Multi-Person Pose Estimation (root-relative) | MuPoTS-3D | Liu et al. | https://arxiv.org/abs/2208.00090v1 | 3DPCK | 79.4 |
3D Multi-Person Pose Estimation (root-relative) | MuPoTS-3D | SMAP | https://arxiv.org/abs/2008.11469v1 | 3DPCK | 73.5 |
3D Multi-Person Pose Estimation (root-relative) | MuPoTS-3D | Single-Shot Multi-Person | http://arxiv.org/abs/1712.03453v3 | 3DPCK | 65 |
3D Multi-Person Pose Estimation (root-relative) | MuPoTS-3D | Depth Prediction Network | http://arxiv.org/abs/1904.05947v1 | MPJPE | 120 |
3D Multi-Person Pose Estimation (root-relative) | MuPoTS-3D | Mehta et al. | http://arxiv.org/abs/1712.03453v3 | MPJPE | 132 |
3D Multi-Person Pose Estimation (root-relative) | MuPoTS-3D | LCR-Net | http://openaccess.thecvf.com/content_cvpr_2017/html/Rogez_LCR-Net_Localization-Classification-Regression_for_CVPR_2017_paper.html | MPJPE | 146 |
Relation Extraction | DuIE | BiTT | https://arxiv.org/abs/2008.13339v3 | F1 | 76.9 |
Relation Extraction | DWIE | REXEL | https://arxiv.org/abs/2404.12788v1 | F1-Hard | 65.8 |
Relation Extraction | DWIE | KB-both | https://arxiv.org/abs/2107.02286v1 | F1-Hard | 52.1 |
Relation Extraction | DWIE | Joint+AttProp | https://arxiv.org/abs/2009.12626v2 | F1-Hard | 50.4 |
Relation Extraction | sciERC-sent | RELA | https://arxiv.org/abs/2212.14266v2 | F1 | 90.3 |
Relation Extraction | Wikipedia-Wikidata relations | ContextAtt | https://aclanthology.org/D17-1188 | Error rate | 0.1590 |
Relation Extraction | SemEval-2010 Task-8 | SP | https://arxiv.org/abs/2010.04829v2 | F1 | 91.9 |
Relation Extraction | SemEval-2010 Task-8 | RIFRE | https://www.sciencedirect.com/science/article/pii/S0950705121001519 | F1 | 91.3 |
Relation Extraction | SemEval-2010 Task-8 | REDN | https://arxiv.org/abs/2004.03786v1 | F1 | 91 |
Relation Extraction | SemEval-2010 Task-8 | SPOT | https://arxiv.org/abs/2208.09625v2 | F1 | 90.6 |
Relation Extraction | SemEval-2010 Task-8 | KLG | https://arxiv.org/abs/2212.14270v1 | F1 | 90.5 |
Relation Extraction | SemEval-2010 Task-8 | RELA | https://arxiv.org/abs/2212.14266v2 | F1 | 90.4 |
Relation Extraction | SemEval-2010 Task-8 | Skeleton-Aware BERT | https://arxiv.org/abs/1912.01858v1 | F1 | 90.36 |
Relation Extraction | SemEval-2010 Task-8 | KnowPrompt | https://arxiv.org/abs/2104.07650v7 | F1 | 90.3 |
Relation Extraction | SemEval-2010 Task-8 | LUKE | https://arxiv.org/abs/2208.09625v2 | F1 | 90.3 |
Relation Extraction | SemEval-2010 Task-8 | EPGNN | http://proceedings.mlr.press/v101/zhao19a.html | F1 | 90.2 |
Relation Extraction | SemEval-2010 Task-8 | RE-DMP + XLNet | https://aclanthology.org/2022.findings-acl.147 | F1 | 89.90 |
Relation Extraction | SemEval-2010 Task-8 | A-GCN + BERT | https://aclanthology.org/2021.acl-long.344 | F1 | 89.85 |
Relation Extraction | SemEval-2010 Task-8 | BERTEM+MTB | https://arxiv.org/abs/1906.03158v1 | F1 | 89.5 |
Relation Extraction | SemEval-2010 Task-8 | BERT | https://arxiv.org/abs/2208.09625v2 | F1 | 89.4 |
Relation Extraction | SemEval-2010 Task-8 | R-BERT | https://arxiv.org/abs/1905.08284v1 | F1 | 89.25 |
Relation Extraction | SemEval-2010 Task-8 | CorefBERT | https://arxiv.org/abs/2208.09625v2 | F1 | 89.2 |
Relation Extraction | SemEval-2010 Task-8 | KnowBert-W+W | https://arxiv.org/abs/1909.04164v2 | F1 | 89.1 |
Relation Extraction | SemEval-2010 Task-8 | KnowBERT | https://arxiv.org/abs/2208.09625v2 | F1 | 89.1 |
Relation Extraction | SemEval-2010 Task-8 | Entity-Aware BERT | https://arxiv.org/abs/1902.01030v2 | F1 | 89.0 |
Relation Extraction | SemEval-2010 Task-8 | SpanBERT | https://arxiv.org/abs/2208.09625v2 | F1 | 88.8 |
Relation Extraction | SemEval-2010 Task-8 | RoBERTa | https://arxiv.org/abs/2208.09625v2 | F1 | 88.7 |
Relation Extraction | SemEval-2010 Task-8 | Att-Pooling-CNN | https://aclanthology.org/P16-1123 | F1 | 88.0 |
Relation Extraction | SemEval-2010 Task-8 | SpanRel | https://arxiv.org/abs/1911.03822v2 | F1 | 87.4 |
Relation Extraction | SemEval-2010 Task-8 | TRE | https://arxiv.org/abs/1906.03088v1 | F1 | 87.1 |
Relation Extraction | SemEval-2010 Task-8 | Entity Attention Bi-LSTM | http://arxiv.org/abs/1901.08163v1 | F1 | 85.2 |
Relation Extraction | SemEval-2010 Task-8 | Attention CNN | https://aclanthology.org/C16-1238 | F1 | 84.3 |
Relation Extraction | SemEval-2010 Task-8 | CR-CNN | http://arxiv.org/abs/1504.06580v2 | F1 | 84.1 |
Relation Extraction | SemEval-2010 Task-8 | Attention Bi-LSTM | https://aclanthology.org/P16-2034 | F1 | 84.0 |
Relation Extraction | SemEval-2010 Task-8 | CNN | https://aclanthology.org/C14-1220 | F1 | 82.7 |
Relation Extraction | SemEval-2010 Task-8 | Bi-LSTM | https://aclanthology.org/Y15-1009 | F1 | 82.7 |
Relation Extraction | SemEval-2010 Task-8 | TRE | https://arxiv.org/abs/1906.03088v1 | F1 | 87:1 |
Relation Extraction | MUC6 | iDepNN | http://arxiv.org/abs/1810.05102v2 | Average F1 | .940 |
Relation Extraction | TACRED | RAG4RE | https://arxiv.org/abs/2404.13397v1 | F1 | 86.6 |
Relation Extraction | TACRED | DeepStruct multi-task w/ finetune | https://arxiv.org/abs/2205.10475v2 | F1 | 76.8 |
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