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
Anno-MI: A Dataset of Expert-Annotated Counselling DialoguesCode1
MAVEN-Arg: Completing the Puzzle of All-in-One Event Understanding Dataset with Event Argument AnnotationCode1
DeLoRA: Decoupling Angles and Strength in Low-rank AdaptationCode1
Benchmarking Robustness of Machine Reading Comprehension ModelsCode1
Joint Prompt Optimization of Stacked LLMs using Variational InferenceCode1
Convolution-enhanced Evolving Attention NetworksCode1
Distilling Large Vision-Language Model with Out-of-Distribution GeneralizabilityCode1
Benchmarking Natural Language Understanding Services for building Conversational AgentsCode1
Debiasing Methods in Natural Language Understanding Make Bias More AccessibleCode1
Belief Revision based Caption Re-ranker with Visual Semantic InformationCode1
MoEBERT: from BERT to Mixture-of-Experts via Importance-Guided AdaptationCode1
CLINE: Contrastive Learning with Semantic Negative Examples for Natural Language UnderstandingCode1
Multilingual Code-Switching for Zero-Shot Cross-Lingual Intent Prediction and Slot FillingCode1
MultiWOZ 2.3: A multi-domain task-oriented dialogue dataset enhanced with annotation corrections and co-reference annotationCode1
Cross-Lingual Semantic Role Labeling with High-Quality Translated Training CorpusCode1
CLUES: Few-Shot Learning Evaluation in Natural Language UnderstandingCode1
CLUTRR: A Diagnostic Benchmark for Inductive Reasoning from TextCode1
CREAK: A Dataset for Commonsense Reasoning over Entity KnowledgeCode1
Decorrelate Irrelevant, Purify Relevant: Overcome Textual Spurious Correlations from a Feature PerspectiveCode1
OET: Optimization-based prompt injection Evaluation ToolkitCode1
Instructive Decoding: Instruction-Tuned Large Language Models are Self-Refiner from Noisy InstructionsCode1
On Transferability of Prompt Tuning for Natural Language ProcessingCode1
Out-of-domain Detection for Natural Language Understanding in Dialog SystemsCode1
PALM: Pre-training an Autoencoding&Autoregressive Language Model for Context-conditioned GenerationCode1
Efficient Long-Text Understanding with Short-Text ModelsCode1
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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