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

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 851–900 of 1978 papers

TitleStatusHype
Can Machine Translation Bridge Multilingual Pretraining and Cross-lingual Transfer Learning?—0
How to Select One Among All ? An Empirical Study Towards the Robustness of Knowledge Distillation in Natural Language Understanding—0
Enhancing Input-Label Mapping in In-Context Learning with Contrastive Decoding—0
Human-like Cognitive Generalization for Large Models via Brain-in-the-loop Supervision—0
A Review of Meta-Reinforcement Learning for Deep Neural Networks Architecture Search—0
Hyperbolic Deep Learning for Chinese Natural Language Understanding—0
A Hybrid Task-Oriented Dialog System with Domain and Task Adaptive Pretraining—0
HyperGrid Transformers: Towards A Single Model for Multiple Tasks—0
Enhancing Image Retrieval : A Comprehensive Study on Photo Search using the CLIP Mode—0
Enhancing Human-Like Responses in Large Language Models—0
Hyperparameter-free Continuous Learning for Domain Classification in Natural Language Understanding—0
HyperPrompt: Prompt-based Task-Conditioning of Transformers—0
Can large language models understand uncommon meanings of common words?—0
Attentive Task-Agnostic Meta-Learning for Few-Shot Text Classification—0
IBADR: an Iterative Bias-Aware Dataset Refinement Framework for Debiasing NLU models—0
Enhancing Essay Scoring with Adversarial Weights Perturbation and Metric-specific AttentionPooling—0
ICH-Qwen: A Large Language Model Towards Chinese Intangible Cultural Heritage—0
Task-specific Compression for Multi-task Language Models using Attribution-based Pruning—0
Identification of Entailment and Contradiction Relations between Natural Language Sentences: A Neurosymbolic Approach—0
Identifying and Resolving Annotation Changes for Natural Language Understanding—0
Explore the Potential of LLMs in Misinformation Detection: An Empirical Study—0
Identifying Bengali Multiword Expressions using Semantic Clustering—0
Identifying Motion Entities in Natural Language and A Case Study for Named Entity Recognition—0
Counteracts: Testing Stereotypical Representation in Pre-trained Language Models—0
IDPG: An Instance-Dependent Prompt Generation Method—0
IDPG: An Instance-Dependent Prompt Generation Method—0
A Cohesive Distillation Architecture for Neural Language Models—0
Learning to Control Latent Representations for Few-Shot Learning of Named Entities—0
A Review of Meta-Reinforcement Learning for Deep Neural Networks Architecture Search—0
I like fish, especially dolphins: Addressing Contradictions in Dialogue Modeling—0
Intent Generation for Goal-Oriented Dialogue Systems based on Schema.org Annotations—0
Image-based Natural Language Understanding Using 2D Convolutional Neural Networks—0
Intent Matching based Customer Services Chatbot with Natural Language Understanding—0
Imagination-Augmented Natural Language Understanding—0
Enhanced Recommendation Combining Collaborative Filtering and Large Language Models—0
Creation Of A ChatBot Based On Natural Language Proccesing For Whatsapp—0
Enhanced English Universal Dependencies: An Improved Representation for Natural Language Understanding Tasks—0
A Retrospective Recount of Computer Architecture Research with a Data-Driven Study of Over Four Decades of ISCA Publications—0
Improved and Efficient Conversational Slot Labeling through Question Answering—0
Improved and Efficient Conversational Slot Labeling through Question Answering—0
Improved intent classification based on context information using a windows-based approach—0
Improved OOD Generalization via Adversarial Training and Pre-training—0
Improvements and Extensions on Metaphor Detection—0
Improving BERT with Hybrid Pooling Network and Drop Mask—0
Engineering Safety Requirements for Autonomous Driving with Large Language Models—0
Improving Black-box Speech Recognition using Semantic Parsing—0
Improving Classification-Based Natural Language Understanding with Non-Expert Annotation—0
Improving Commonsense Contingent Reasoning by Pseudo-data and Its Application to the Related Tasks—0
Energy-Based Models with Applications to Speech and Language Processing—0
Can Language Representation Models Think in Bets?—0
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All datasetsPDP60STREUSLELexGLUEDialoGLUE fewshotDialoGLUE fullGLUE

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1HNNAccuracy90—Unverified
2BERT-large 340MAccuracy78.3—Unverified
3UDSSM-II (ensemble)Accuracy78.3—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