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 751775 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
CAPT: Contrastive Pre-Training for Learning Denoised Sequence Representations0
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
A Review on Large Language Models for Visual Analytics0
Enriched Pre-trained Transformers for Joint Slot Filling and Intent Detection0
ENIGMA-51: Towards a Fine-Grained Understanding of Human-Object Interactions in Industrial Scenarios0
FltLM: An Intergrated Long-Context Large Language Model for Effective Context Filtering and Understanding0
Hi, how can I help you?: Automating enterprise IT support help desks0
History-Aware Question Answering in a Blocks World Dialogue System0
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
A Review of Winograd Schema Challenge Datasets and Approaches0
Enhancing Semantic Word Representations by Embedding Deeper Word Relationships0
From Audio to Semantics: Approaches to end-to-end spoken language understanding0
From Beginner to Expert: Modeling Medical Knowledge into General LLMs0
Enhancing Semantic Understanding with Self-supervised Methods for Abstractive Dialogue Summarization0
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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