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

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Showing 951–1000 of 1978 papers

TitleStatusHype
Differentiable Reasoning over Long Stories -- Assessing Systematic Generalisation in Neural Models—0
CrossAligner & Co: Zero-Shot Transfer Methods for Task-Oriented Cross-lingual Natural Language UnderstandingCode0
RoMe: A Robust Metric for Evaluating Natural Language GenerationCode1
An Analysis of Negation in Natural Language Understanding CorporaCode0
Things not Written in Text: Exploring Spatial Commonsense from Visual SignalsCode1
On the Calibration of Pre-trained Language Models using Mixup Guided by Area Under the Margin and Saliency—0
PERT: Pre-training BERT with Permuted Language ModelCode2
SciNLI: A Corpus for Natural Language Inference on Scientific TextCode1
What Makes Reading Comprehension Questions Difficult?Code0
Learning Discriminative Representations and Decision Boundaries for Open Intent Detection—0
CoDA21: Evaluating Language Understanding Capabilities of NLP Models With Context-Definition AlignmentCode0
HyperMixer: An MLP-based Low Cost Alternative to TransformersCode1
SkillNet-NLU: A Sparsely Activated Model for General-Purpose Natural Language Understanding—0
Input-Tuning: Adapting Unfamiliar Inputs to Frozen Pretrained Models—0
HyperPrompt: Prompt-based Task-Conditioning of Transformers—0
TableFormer: Robust Transformer Modeling for Table-Text EncodingCode0
MERIt: Meta-Path Guided Contrastive Learning for Logical ReasoningCode1
Bi-directional Joint Neural Networks for Intent Classification and Slot Filling—0
PromDA: Prompt-based Data Augmentation for Low-Resource NLU TasksCode1
Pretraining without Wordpieces: Learning Over a Vocabulary of Millions of Words—0
Learning to Merge Tokens in Vision TransformersCode0
Decorrelate Irrelevant, Purify Relevant: Overcome Textual Spurious Correlations from a Feature PerspectiveCode1
Aspect Based Sentiment Analysis Using Spectral Temporal Graph Neural Network—0
Generating Training Data with Language Models: Towards Zero-Shot Language UnderstandingCode1
FedQAS: Privacy-aware machine reading comprehension with federated learningCode0
CALM: Contrastive Aligned Audio-Language Multirate and Multimodal Representations—0
Learnings from Federated Learning in the Real world—0
data2vec: A General Framework for Self-supervised Learning in Speech, Vision and LanguageCode1
No Parameters Left Behind: Sensitivity Guided Adaptive Learning Rate for Training Large Transformer ModelsCode1
RescoreBERT: Discriminative Speech Recognition Rescoring with BERT—0
Examining Scaling and Transfer of Language Model Architectures for Machine Translation—0
When Do Flat Minima Optimizers Work?Code1
Cross-Lingual Dialogue Dataset Creation via Outline-Based Generation—0
ScaLA: Accelerating Adaptation of Pre-Trained Transformer-Based Language Models via Efficient Large-Batch Adversarial Noise—0
Pair-Level Supervised Contrastive Learning for Natural Language Inference—0
Convex Polytope Modelling for Unsupervised Derivation of Semantic Structure for Data-efficient Natural Language Understanding—0
Language Generation for Broad-Coverage, Explainable Cognitive Systems—0
Revisiting the Roles of “Text” in Text Games—0
AraBART: a Pretrained Arabic Sequence-to-Sequence Model for Abstractive Summarization—0
Curriculum: A Broad-Coverage Benchmark for Linguistic Phenomena in Natural Language Understanding—0
Event Linking: Grounding Event Mentions to Wikipedia—0
RGL: A Simple yet Effective Relation Graph Augmented Prompt-based Tuning Approach for Few-Shot LearningCode0
Imagination-Augmented Natural Language Understanding—0
A Transformer-based Threshold-Free Framework for Multi-Intent NLU—0
Causal Distillation for Language Models—0
Exploiting Topic Information for Joint Intent Detection and Slot Filling—0
Improved and Efficient Conversational Slot Labeling through Question Answering—0
Label-guided Data Augmentation for Prompt-based Few Shot Learners—0
Learning To Retrieve Prompts for In-Context Learning—0
MoEBERT: from BERT to Mixture-of-Experts via Importance-Guided Adaptation—0
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All datasetsPDP60STREUSLELexGLUEDialoGLUE fewshotDialoGLUE fullGLUE

Benchmark Results

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