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 9761000 of 1978 papers

TitleStatusHype
Embracing Ambiguity: Improving Similarity-oriented Tasks with Contextual Synonym Knowledge0
Where did you tweet from? Inferring the origin locations of tweets based on contextual information0
Breakpoint Transformers for Modeling and Tracking Intermediate BeliefsCode0
A Survey of Knowledge Enhanced Pre-trained Language Models0
Local Structure Matters Most in Most Languages0
NaturalAdversaries: Can Naturalistic Adversaries Be as Effective as Artificial Adversaries?0
End-to-End Evaluation of a Spoken Dialogue System for Learning Basic Mathematics0
Multi-level Distillation of Semantic Knowledge for Pre-training Multilingual Language Model0
Web-API-Based Chatbot Generation with Analysis and Expansion for Training Sentences0
Debiasing Masks: A New Framework for Shortcut Mitigation in NLUCode0
Privately Fine-Tuning Large Language Models with Differential Privacy0
Leveraging Affirmative Interpretations from Negation Improves Natural Language UnderstandingCode0
IDK-MRC: Unanswerable Questions for Indonesian Machine Reading ComprehensionCode0
ExPUNations: Augmenting Puns with Keywords and ExplanationsCode0
Training Dynamics for Curriculum Learning: A Study on Monolingual and Cross-lingual NLU0
Enhancing Out-of-Distribution Detection in Natural Language Understanding via Implicit Layer EnsembleCode0
Language Detoxification with Attribute-Discriminative Latent SpaceCode0
Explainable Slot Type Attentions to Improve Joint Intent Detection and Slot Filling0
Textual Entailment Recognition with Semantic Features from Empirical Text Representation0
Team Flow at DRC2022: Pipeline System for Travel Destination Recommendation Task in Spoken Dialogue0
Revisiting the Roles of "Text" in Text Games0
Can Language Representation Models Think in Bets?0
Prompt Conditioned VAE: Enhancing Generative Replay for Lifelong Learning in Task-Oriented Dialogue0
Instance Regularization for Discriminative Language Model Pre-trainingCode0
Revisiting and Advancing Chinese Natural Language Understanding with Accelerated Heterogeneous Knowledge Pre-training0
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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