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

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Showing 1351–1400 of 1978 papers

TitleStatusHype
Can Language Representation Models Think in Bets?—0
Explore the Potential of LLMs in Misinformation Detection: An Empirical Study—0
Can large language models understand uncommon meanings of common words?—0
Can Machine Translation Bridge Multilingual Pretraining and Cross-lingual Transfer Learning?—0
Can Offline Reinforcement Learning Help Natural Language Understanding?—0
Can We Use Probing to Better Understand Fine-tuning and Knowledge Distillation of the BERT NLU?—0
Can Wikipedia Categories Improve Masked Language Model Pretraining?—0
CAPT: Contrastive Pre-Training for Learning Denoised Sequence Representations—0
CASA-NLU: Context-Aware Self-Attentive Natural Language Understanding for Task-Oriented Chatbots—0
CASSANDRA: A multipurpose configurable voice-enabled human-computer-interface—0
Catastrophic Forgetting in LLMs: A Comparative Analysis Across Language Tasks—0
Causal Distillation for Language Models—0
CBLUE: A Chinese Biomedical Language Understanding EvaluationBenchmark—0
CCoE: A Compact LLM with Collaboration of Experts—0
CC-SAM: SAM with Cross-feature Attention and Context for Ultrasound Image Segmentation—0
CFGs-2-NLU: Sequence-to-Sequence Learning for Mapping Utterances to Semantics and Pragmatics—0
CG-BERT: Conditional Text Generation with BERT for Generalized Few-shot Intent Detection—0
Chain of Attack: On the Robustness of Vision-Language Models Against Transfer-Based Adversarial Attacks—0
Chain-of-Thought Tuning: Masked Language Models can also Think Step By Step in Natural Language Understanding—0
Chatbot: A Conversational Agent employed with Named Entity Recognition Model using Artificial Neural Network—0
Chatbot for fitness management using IBM Watson—0
ChatGPT as a Factual Inconsistency Evaluator for Text Summarization—0
ChatGPT-Like Large-Scale Foundation Models for Prognostics and Health Management: A Survey and Roadmaps—0
Chat-to-Design: AI Assisted Personalized Fashion Design—0
ChemAU: Harness the Reasoning of LLMs in Chemical Research with Adaptive Uncertainty Estimation—0
Chinese Long and Short Form Choice Exploiting Neural Network Language Modeling Approaches—0
Chinese Sequence Labeling with Semi-Supervised Boundary-Aware Language Model Pre-training—0
ChocoLlama: Lessons Learned From Teaching Llamas Dutch—0
Class Vectors: Embedding representation of Document Classes—0
CLIMATE-FEVER: A Dataset for Verification of Real-World Climate Claims—0
Climbing towards NLU: On Meaning, Form, and Understanding in the Age of Data—0
Cloud-Based AI Systems: Leveraging Large Language Models for Intelligent Fault Detection and Autonomous Self-Healing—0
CLOWER: A Pre-trained Language Model with Contrastive Learning over Word and Character Representations—0
Coarse-to-Fine: Hierarchical Multi-task Learning for Natural Language Understanding—0
CoDA21: Evaluating Language Understanding Capabilities of NLP Models With Context-Definition Alignment—0
CoDA: Contrast-enhanced and Diversity-promoting Data Augmentation for Natural Language Understanding—0
CodeGemma: Open Code Models Based on Gemma—0
CodePMP: Scalable Preference Model Pretraining for Large Language Model Reasoning—0
CogCompTime: A Tool for Understanding Time in Natural Language—0
CogCompTime: A Tool for Understanding Time in Natural Language Text—0
Collaborating Heterogeneous Natural Language Processing Tasks via Federated Learning—0
Collaborative construction of lexicographic and parallel datasets for African languages: first assessment—0
Collaborative Data Relabeling for Robust and Diverse Voice Apps Recommendation in Intelligent Personal Assistants—0
Collaborative Multi-Task Representation for Natural Language Understanding—0
Combining Weakly Supervised ML Techniques for Low-Resource NLU—0
Commonsense inference in human-robot communication—0
CommonsenseQA 2.0: Exposing the Limits of AI through Gamification—0
Comparing Test Sets with Item Response Theory—0
Competence-based Question Generation—0
Complex-Valued Neural Networks for Data-Driven Signal Processing and Signal Understanding—0
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All datasetsPDP60STREUSLELexGLUEDialoGLUE fewshotDialoGLUE fullGLUE

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1HNNAccuracy90—Unverified
2UDSSM-II (ensemble)Accuracy78.3—Unverified
3BERT-large 340MAccuracy78.3—Unverified
4UDSSM-I (ensemble)Accuracy76.7—Unverified
5DSSMAccuracy75—Unverified
6UDSSM-IIAccuracy75—Unverified
7BERT-base 110M + MASAccuracy68.3—Unverified
8USSM + Supervised Deepnet + 3 Knowledge BasesAccuracy66.7—Unverified
9Word-level CNN+LSTM (full scoring)Accuracy60—Unverified
10Subword-level Transformer LMAccuracy58.3—Unverified
#ModelMetricClaimedVerifiedStatus
1BERT (pred POS/lemmas)Tags (Full) Acc82.5—Unverified
2BERT (none)Tags (Full) Acc82—Unverified
3BERT (gold POS/lemmas)Tags (Full) Acc81—Unverified
4GloVe (gold POS/lemmas)Tags (Full) Acc79.3—Unverified
5RoBERTa + LinearFull F1 (Preps)78.2—Unverified
6GloVe (none)Tags (Full) Acc77.5—Unverified
7GloVe (pred POS/lemmas)Tags (Full) Acc77.1—Unverified
8SVM (feature-rich, gold syntax)Role F1 (Preps)62.2—Unverified
9BiLSTM + MLP (gold syntax)Role F1 (Preps)62.2—Unverified
10SVM (feature-rich, auto syntax)Role F1 (Preps)58.2—Unverified
#ModelMetricClaimedVerifiedStatus
1CaseLaw-BERTCaseHOLD75.6—Unverified
2Legal-BERTCaseHOLD75.1—Unverified
3DeBERTaCaseHOLD72.1—Unverified
4LongformerCaseHOLD72—Unverified
5RoBERTaCaseHOLD71.7—Unverified
6BERTCaseHOLD70.7—Unverified
7BigBirdCaseHOLD70.4—Unverified
#ModelMetricClaimedVerifiedStatus
1ConvBERT-DGAverage74.6—Unverified
2ConvBERT-DG + Pre + MultiAverage73.8—Unverified
3mslmAverage73.49—Unverified
4ConvBERT + Pre + MultiAverage68.22—Unverified
5BanLanGenAverage39.16—Unverified
#ModelMetricClaimedVerifiedStatus
1ConvBERT + Pre + MultiAverage86.89—Unverified
2mslmAverage85.83—Unverified
3ConvBERT-DG + Pre + MultiAverage85.34—Unverified
#ModelMetricClaimedVerifiedStatus
1MT-DNN-SMARTAverage89.9—Unverified
2BERT-LARGEAverage82.1—Unverified