SOTAVerified

Natural Language Understanding

Natural Language Understanding is an important field of Natural Language Processing which contains various tasks such as text classification, natural language inference and story comprehension. Applications enabled by natural language understanding range from question answering to automated reasoning.

Source: Find a Reasonable Ending for Stories: Does Logic Relation Help the Story Cloze Test?

Papers

Showing 351375 of 1978 papers

TitleStatusHype
End-to-End Slot Alignment and Recognition for Cross-Lingual NLUCode1
Benchmarking Robustness of Machine Reading Comprehension ModelsCode1
Dual Learning for Semi-Supervised Natural Language UnderstandingCode1
Probabilistically Masked Language Model Capable of Autoregressive Generation in Arbitrary Word OrderCode1
TOD-BERT: Pre-trained Natural Language Understanding for Task-Oriented DialogueCode1
PALM: Pre-training an Autoencoding&Autoregressive Language Model for Context-conditioned GenerationCode1
Cross-Lingual Semantic Role Labeling with High-Quality Translated Training CorpusCode1
Unsupervised Commonsense Question Answering with Self-TalkCode1
KorNLI and KorSTS: New Benchmark Datasets for Korean Natural Language UnderstandingCode1
Are Natural Language Inference Models IMPPRESsive? Learning IMPlicature and PRESuppositionCode1
XGLUE: A New Benchmark Dataset for Cross-lingual Pre-training, Understanding and GenerationCode1
Sum-product networks: A surveyCode1
ELECTRA: Pre-training Text Encoders as Discriminators Rather Than GeneratorsCode1
Zero-Shot Cross-Lingual Transfer with Meta LearningCode1
UniLMv2: Pseudo-Masked Language Models for Unified Language Model Pre-TrainingCode1
A Toolkit for Generating Code Knowledge GraphsCode1
Incorporating BERT into Neural Machine TranslationCode1
PoWER-BERT: Accelerating BERT Inference via Progressive Word-vector EliminationCode1
Graph Constrained Reinforcement Learning for Natural Language Action SpacesCode1
Stacked DeBERT: All Attention in Incomplete Data for Text ClassificationCode1
PIQA: Reasoning about Physical Commonsense in Natural LanguageCode1
An Annotated Corpus of Reference Resolution for Interpreting Common GroundingCode1
SMART: Robust and Efficient Fine-Tuning for Pre-trained Natural Language Models through Principled Regularized OptimizationCode1
FreeLB: Enhanced Adversarial Training for Natural Language UnderstandingCode1
Out-of-domain Detection for Natural Language Understanding in Dialog SystemsCode1
Show:102550
← PrevPage 15 of 80Next →

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1HNNAccuracy90Unverified
2UDSSM-II (ensemble)Accuracy78.3Unverified
3BERT-large 340MAccuracy78.3Unverified
4UDSSM-I (ensemble)Accuracy76.7Unverified
5DSSMAccuracy75Unverified
6UDSSM-IIAccuracy75Unverified
7BERT-base 110M + MASAccuracy68.3Unverified
8USSM + Supervised Deepnet + 3 Knowledge BasesAccuracy66.7Unverified
9Word-level CNN+LSTM (full scoring)Accuracy60Unverified
10Subword-level Transformer LMAccuracy58.3Unverified
#ModelMetricClaimedVerifiedStatus
1BERT (pred POS/lemmas)Tags (Full) Acc82.5Unverified
2BERT (none)Tags (Full) Acc82Unverified
3BERT (gold POS/lemmas)Tags (Full) Acc81Unverified
4GloVe (gold POS/lemmas)Tags (Full) Acc79.3Unverified
5RoBERTa + LinearFull F1 (Preps)78.2Unverified
6GloVe (none)Tags (Full) Acc77.5Unverified
7GloVe (pred POS/lemmas)Tags (Full) Acc77.1Unverified
8SVM (feature-rich, gold syntax)Role F1 (Preps)62.2Unverified
9BiLSTM + MLP (gold syntax)Role F1 (Preps)62.2Unverified
10SVM (feature-rich, auto syntax)Role F1 (Preps)58.2Unverified
#ModelMetricClaimedVerifiedStatus
1CaseLaw-BERTCaseHOLD75.6Unverified
2Legal-BERTCaseHOLD75.1Unverified
3DeBERTaCaseHOLD72.1Unverified
4LongformerCaseHOLD72Unverified
5RoBERTaCaseHOLD71.7Unverified
6BERTCaseHOLD70.7Unverified
7BigBirdCaseHOLD70.4Unverified
#ModelMetricClaimedVerifiedStatus
1ConvBERT-DGAverage74.6Unverified
2ConvBERT-DG + Pre + MultiAverage73.8Unverified
3mslmAverage73.49Unverified
4ConvBERT + Pre + MultiAverage68.22Unverified
5BanLanGenAverage39.16Unverified
#ModelMetricClaimedVerifiedStatus
1ConvBERT + Pre + MultiAverage86.89Unverified
2mslmAverage85.83Unverified
3ConvBERT-DG + Pre + MultiAverage85.34Unverified
#ModelMetricClaimedVerifiedStatus
1MT-DNN-SMARTAverage89.9Unverified
2BERT-LARGEAverage82.1Unverified