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 851875 of 1978 papers

TitleStatusHype
Can large language models understand uncommon meanings of common words?0
Enhancing Essay Scoring with Adversarial Weights Perturbation and Metric-specific AttentionPooling0
Explore the Potential of LLMs in Misinformation Detection: An Empirical Study0
Human-like Cognitive Generalization for Large Models via Brain-in-the-loop Supervision0
A Review of Meta-Reinforcement Learning for Deep Neural Networks Architecture Search0
Hyperbolic Deep Learning for Chinese Natural Language Understanding0
Making Task-Oriented Dialogue Datasets More Natural by Synthetically Generating Indirect User Requests0
HyperGrid Transformers: Towards A Single Model for Multiple Tasks0
Enhanced Recommendation Combining Collaborative Filtering and Large Language Models0
Enhanced English Universal Dependencies: An Improved Representation for Natural Language Understanding Tasks0
Hyperparameter-free Continuous Learning for Domain Classification in Natural Language Understanding0
HyperPrompt: Prompt-based Task-Conditioning of Transformers0
A Retrospective Recount of Computer Architecture Research with a Data-Driven Study of Over Four Decades of ISCA Publications0
Attentive Task-Agnostic Meta-Learning for Few-Shot Text Classification0
IBADR: an Iterative Bias-Aware Dataset Refinement Framework for Debiasing NLU models0
Engineering Safety Requirements for Autonomous Driving with Large Language Models0
ICH-Qwen: A Large Language Model Towards Chinese Intangible Cultural Heritage0
Task-specific Compression for Multi-task Language Models using Attribution-based Pruning0
Identification of Entailment and Contradiction Relations between Natural Language Sentences: A Neurosymbolic Approach0
Identifying and Resolving Annotation Changes for Natural Language Understanding0
Energy-Based Models with Applications to Speech and Language Processing0
Identifying Bengali Multiword Expressions using Semantic Clustering0
Identifying Motion Entities in Natural Language and A Case Study for Named Entity Recognition0
Counteracts: Testing Stereotypical Representation in Pre-trained Language Models0
Can Language Representation Models Think in Bets?0
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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