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 16261650 of 1978 papers

TitleStatusHype
Improving Bias Mitigation through Bias Experts in Natural Language UnderstandingCode0
Dialect Normalization using Large Language Models and Morphological RulesCode0
Detecting Entailment in Code-Mixed Hindi-English ConversationsCode0
Design Challenges for a Multi-Perspective Search EngineCode0
DEPTH: Discourse Education through Pre-Training HierarchicallyCode0
Dense Retrieval as Indirect Supervision for Large-space Decision MakingCode0
Implicit Differentiable Outlier Detection Enable Robust Deep Multimodal AnalysisCode0
Understanding and Tackling Label Errors in Individual-Level Nature Language UnderstandingCode0
ChatGPT as Data Augmentation for Compositional Generalization: A Case Study in Open Intent DetectionCode0
A Brief Survey and Comparative Study of Recent Development of Pronoun Coreference ResolutionCode0
Imitation of Life: A Search Engine for Biologically Inspired DesignCode0
IGLU 2022: Interactive Grounded Language Understanding in a Collaborative Environment at NeurIPS 2022Code0
DeltaLM: Encoder-Decoder Pre-training for Language Generation and Translation by Augmenting Pretrained Multilingual EncodersCode0
Pragmatically Informative Color Generation by Grounding Contextual ModifiersCode0
IEKG: A Commonsense Knowledge Graph for Idiomatic ExpressionsCode0
IDK-MRC: Unanswerable Questions for Indonesian Machine Reading ComprehensionCode0
Identifying Distributional Perspective Differences from Colingual GroupsCode0
Predicate Argument Alignment using a Global Coherence ModelCode0
CERT: Contrastive Self-supervised Learning for Language UnderstandingCode0
Predicting Humorousness and Metaphor Novelty with Gaussian Process Preference LearningCode0
Adaptive Natural Language Generation for Task-oriented Dialogue via Reinforcement LearningCode0
ViGoR: Improving Visual Grounding of Large Vision Language Models with Fine-Grained Reward ModelingCode0
Defending Pre-trained Language Models from Adversarial Word Substitutions Without Performance SacrificeCode0
ID10M: Idiom Identification in 10 LanguagesCode0
IAI MovieBot 2.0: An Enhanced Research Platform with Trainable Neural Components and Transparent User ModelingCode0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1HNNAccuracy90Unverified
2BERT-large 340MAccuracy78.3Unverified
3UDSSM-II (ensemble)Accuracy78.3Unverified
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