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 12511300 of 1978 papers

TitleStatusHype
Rethinking Denoised Auto-Encoding in Language Pre-Training0
A Brief Survey and Comparative Study of Recent Development of Pronoun Coreference Resolution in English0
On the Role of Corpus Ordering in Language Modeling0
NxMTransformer: Semi-Structured Sparsification for Natural Language Understanding via ADMM0
Ask me in your own words: paraphrasing for multitask question answeringCode0
Improving Non-autoregressive Generation with Mixup TrainingCode0
Discontinuous Grammar as a Foreign LanguageCode0
Two-stage Voice Application Recommender System for Unhandled Utterances in Intelligent Personal Assistant0
Newsalyze: Effective Communication of Person-Targeting Biases in News Articles0
TableFormer: Robust Transformer Modeling for Table-Text Encoding0
Collaborative Multi-Task Representation for Natural Language Understanding0
Pro-KD: Progressive Distillation by Following the Footsteps of the Teacher0
Robustness Challenges in Model Distillation and Pruning for Natural Language Understanding0
How Does Data Corruption Affect Natural Language Understanding Models? A Study on GLUE datasets0
NeurIPS 2021 Competition IGLU: Interactive Grounded Language Understanding in a Collaborative Environment0
Mention Memory: incorporating textual knowledge into Transformers through entity mention attentionCode0
AutoNLU: Detecting, root-causing, and fixing NLU model errors0
Evaluating User Perception of Speech Recognition System Quality with Semantic Distance Metric0
The Inductive Bias of In-Context Learning: Rethinking Pretraining Example Design0
LIDSNet: A Lightweight on-device Intent Detection model using Deep Siamese Network0
NaRLE: Natural Language Models using Reinforcement Learning with Emotion Feedback0
Natural language understanding for logical gamesCode0
Structural Persistence in Language Models: Priming as a Window into Abstract Language RepresentationsCode0
A Review of Text Style Transfer using Deep Learning0
Call Larisa Ivanovna: Code-Switching Fools Multilingual NLU ModelsCode0
Variance Pruning: Pruning Language Models via Temporal Neuron Variance0
Pseudo Knowledge Distillation: Towards Learning Optimal Instance-specific Label Smoothing Regularization0
Logic Pre-Training of Language Models0
Sparse Attention with Learning to Hash0
Using Pause Information for More Accurate Entity Recognition0
Knowledge Distillation with Noisy Labels for Natural Language Understanding0
Training Dynamic based data filtering may not work for NLP datasets0
Self-training with Few-shot Rationalization: Teacher Explanations Aid Student in Few-shot NLU0
What Makes Reading Comprehension Questions Difficult? Investigating Variation in Passage Sources and Question Types0
CoDA21: Evaluating Language Understanding Capabilities of NLP Models With Context-Definition Alignment0
Remixers: A Mixer-Transformer Architecture with Compositional Operators for Natural Language Understanding0
FlipDA: Effective and Robust Data Augmentation for Few-Shot Learning0
Fine-Tuned Transformers Show Clusters of Similar Representations Across Layers0
Semi-Supervised Few-Shot Intent Classification and Slot Filling0
ARCH: Efficient Adversarial Regularized Training with CachingCode0
The Unreasonable Effectiveness of the Baseline: Discussing SVMs in Legal Text Classification0
Can Machines Read Coding Manuals Yet? -- A Benchmark for Building Better Language Models for Code UnderstandingCode0
Task-adaptive Pre-training and Self-training are Complementary for Natural Language Understanding0
GradTS: A Gradient-Based Automatic Auxiliary Task Selection Method Based on Transformer Networks0
Prior Omission of Dissimilar Source Domain(s) for Cost-Effective Few-Shot Learning0
Exophoric Pronoun Resolution in Dialogues with Topic RegularizationCode0
Continuous Entailment Patterns for Lexical Inference in ContextCode0
Proto: A Neural Cocktail for Generating Appealing Conversations0
End-to-End Self-Debiasing Framework for Robust NLU Training0
Error Detection in Large-Scale Natural Language Understanding Systems Using Transformer Models0
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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