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 576600 of 1978 papers

TitleStatusHype
Generate to Understand for RepresentationCode1
SpeechGLUE: How Well Can Self-Supervised Speech Models Capture Linguistic Knowledge?Code1
Deep Model Compression Also Helps Models Capture AmbiguityCode0
On the N-gram Approximation of Pre-trained Language Models0
Multimodal Audio-textual Architecture for Robust Spoken Language Understanding0
Empowering Molecule Discovery for Molecule-Caption Translation with Large Language Models: A ChatGPT PerspectiveCode1
Leveraging Large Language Models for Scalable Vector Graphics-Driven Image UnderstandingCode0
Revisit Few-shot Intent Classification with PLMs: Direct Fine-tuning vs. Continual Pre-trainingCode0
InfoPrompt: Information-Theoretic Soft Prompt Tuning for Natural Language Understanding0
LogiQA 2.0—An Improved Dataset for Logical Reasoning in Natural Language UnderstandingCode0
Enhancing Language Representation with Constructional Information for Natural Language UnderstandingCode1
bgGLUE: A Bulgarian General Language Understanding Evaluation BenchmarkCode0
A Simple yet Effective Self-Debiasing Framework for Transformer ModelsCode0
Quantization-Aware and Tensor-Compressed Training of Transformers for Natural Language Understanding0
Automatic Glossary of Clinical Terminology: a Large-Scale Dictionary of Biomedical Definitions Generated from Ontological Knowledge0
Inspecting Spoken Language Understanding from Kids for Basic Math Learning at Home0
FlexRound: Learnable Rounding based on Element-wise Division for Post-Training QuantizationCode0
A template-independent approach for information extraction in real estate documentsCode0
Preserving Pre-trained Features Helps Calibrate Fine-tuned Language ModelsCode1
Make-An-Audio 2: Temporal-Enhanced Text-to-Audio GenerationCode1
Tri-level Joint Natural Language Understanding for Multi-turn Conversational DatasetsCode0
Robust Natural Language Understanding with Residual Attention DebiasingCode0
A Unified Framework for Slot based Response Generation in a Multimodal Dialogue SystemCode0
Entailment as Robust Self-LearnerCode1
MERGE: Fast Private Text GenerationCode0
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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