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 14261450 of 1978 papers

TitleStatusHype
Evidential Sparsification of Multimodal Latent Spaces in Conditional Variational AutoencodersCode0
RiSAWOZ: A Large-Scale Multi-Domain Wizard-of-Oz Dataset with Rich Semantic Annotations for Task-Oriented Dialogue ModelingCode1
CoDA: Contrast-enhanced and Diversity-promoting Data Augmentation for Natural Language Understanding0
Training Shallow Phrase Structure Parsers From Semantic Frames and Simple NLG0
Pretrained Language Models for Dialogue Generation with Multiple Input SourcesCode1
Improving Constituency Parsing with Span AttentionCode1
Probing for Multilingual Numerical Understanding in Transformer-Based Language ModelsCode0
Incorporating BERT into Parallel Sequence Decoding with AdaptersCode1
Multilingual Argument Mining: Datasets and Analysis0
CAPT: Contrastive Pre-Training for Learning Denoised Sequence Representations0
Measuring and Reducing Gendered Correlations in Pre-trained Models0
TextHide: Tackling Data Privacy in Language Understanding TasksCode1
COMET-ATOMIC 2020: On Symbolic and Neural Commonsense Knowledge GraphsCode1
MultiWOZ 2.3: A multi-domain task-oriented dialogue dataset enhanced with annotation corrections and co-reference annotationCode1
Joint Semantic Analysis with Document-Level Cross-Task Coherence RewardsCode0
Counterfactually-Augmented SNLI Training Data Does Not Yield Better Generalization Than Unaugmented DataCode0
Pragmatically Informative Color Generation by Grounding Contextual ModifiersCode0
Don't Parse, Insert: Multilingual Semantic Parsing with Insertion Based Decoding0
Dual Inference for Improving Language Understanding and GenerationCode1
BERT Knows Punta Cana is not just beautiful, it's gorgeous: Ranking Scalar Adjectives with Contextualised RepresentationsCode0
An Empirical Study of Tokenization Strategies for Various Korean NLP TasksCode1
QADiscourse -- Discourse Relations as QA Pairs: Representation, Crowdsourcing and BaselinesCode0
Learning to Generalize for Sequential Decision MakingCode0
Self-training Improves Pre-training for Natural Language UnderstandingCode1
DLGNet-Task: An End-to-end Neural Network Framework for Modeling Multi-turn Multi-domain Task-Oriented Dialogue0
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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