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 751800 of 1978 papers

TitleStatusHype
Ensemble Chinese End-to-End Spoken Language Understanding for Abnormal Event Detection from audio stream0
CASA-NLU: Context-Aware Self-Attentive Natural Language Understanding for Task-Oriented Chatbots0
Find a Reasonable Ending for Stories: Does Logic Relation Help the Story Cloze Test?0
Fine-Tuned Transformers Show Clusters of Similar Representations Across Layers0
AI Metropolis: Scaling Large Language Model-based Multi-Agent Simulation with Out-of-order Execution0
Fine-Tuned Transformers Show Clusters of Similar Representations Across Layers0
Fine-tuning BERT for Low-Resource Natural Language Understanding via Active Learning0
Fine-Tuning BERT for Schema-Guided Zero-Shot Dialogue State Tracking0
Ensemble approach for natural language question answering problem0
Fine-tuning Transformer-based Encoder for Turkish Language Understanding Tasks0
First Train to Generate, then Generate to Train: UnitedSynT5 for Few-Shot NLI0
FitChat: Conversational Artificial Intelligence Interventions for Encouraging Physical Activity in Older Adults0
CAPT: Contrastive Pre-Training for Learning Denoised Sequence Representations0
A Review on Large Language Models for Visual Analytics0
Enriched Pre-trained Transformers for Joint Slot Filling and Intent Detection0
FltLM: An Intergrated Long-Context Large Language Model for Effective Context Filtering and Understanding0
ENIGMA-51: Towards a Fine-Grained Understanding of Human-Object Interactions in Industrial Scenarios0
Identification of Entailment and Contradiction Relations between Natural Language Sentences: A Neurosymbolic Approach0
Forming Trees with Treeformers0
Identifying and Resolving Annotation Changes for Natural Language Understanding0
Enhancing Text Generation in Joint NLG/NLU Learning Through Curriculum Learning, Semi-Supervised Training, and Advanced Optimization Techniques0
Enhancing Slot Tagging with Intent Features for Task Oriented Natural Language Understanding using BERT0
From Audio to Semantics: Approaches to end-to-end spoken language understanding0
From Beginner to Expert: Modeling Medical Knowledge into General LLMs0
From Characters to Words: Hierarchical Pre-trained Language Model for Open-vocabulary Language Understanding0
A survey of joint intent detection and slot-filling models in natural language understanding0
From Spatial Relations to Spatial Configurations0
From text to talk: Harnessing conversational corpora for humane and diversity-aware language technology0
From Universal Language Model to Downstream Task: Improving RoBERTa-Based Vietnamese Hate Speech Detection0
From Virtual to Real: A Framework for Verbal Interaction with Robots0
A Review of Winograd Schema Challenge Datasets and Approaches0
Fully Unsupervised Crosslingual Semantic Textual Similarity Metric Based on BERT for Identifying Parallel Data0
Enhancing Semantic Word Representations by Embedding Deeper Word Relationships0
Enhancing Semantic Understanding with Self-supervised Methods for Abstractive Dialogue Summarization0
Can Wikipedia Categories Improve Masked Language Model Pretraining?0
Competence-based Question Generation0
A Review of Text Style Transfer using Deep Learning0
Enhancing Self-Attention with Knowledge-Assisted Attention Maps0
Generating Synthetic Data for Task-Oriented Semantic Parsing with Hierarchical Representations0
Can We Use Probing to Better Understand Fine-tuning and Knowledge Distillation of the BERT NLU?0
Generation-Distillation for Efficient Natural Language Understanding in Low-Data Settings0
Generative Adversarial Networks for Annotated Data Augmentation in Data Sparse NLU0
IBADR: an Iterative Bias-Aware Dataset Refinement Framework for Debiasing NLU models0
GeoGLUE: A GeoGraphic Language Understanding Evaluation Benchmark0
GeoReasoner: Reasoning On Geospatially Grounded Context For Natural Language Understanding0
Get Your Model Puzzled: Introducing Crossword-Solving as a New NLP Benchmark0
Enhancing Performance on Seen and Unseen Dialogue Scenarios using Retrieval-Augmented End-to-End Task-Oriented System0
Can Offline Reinforcement Learning Help Natural Language Understanding?0
ICH-Qwen: A Large Language Model Towards Chinese Intangible Cultural Heritage0
Identifying Bengali Multiword Expressions using Semantic Clustering0
Show:102550
← PrevPage 16 of 40Next →

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