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

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 951–1000 of 1978 papers

TitleStatusHype
Leveraging Semantic Representations Combined with Contextual Word Representations for Recognizing Textual Entailment in Vietnamese—0
Spoken Language Understanding for Conversational AI: Recent Advances and Future Direction—0
SERENGETI: Massively Multilingual Language Models for AfricaCode0
MULTI3NLU++: A Multilingual, Multi-Intent, Multi-Domain Dataset for Natural Language Understanding in Task-Oriented Dialogue—0
On-the-fly Denoising for Data Augmentation in Natural Language UnderstandingCode0
Measure More, Question More: Experimental Studies on Transformer-based Language Models and Complement Coercion—0
Quirk or Palmer: A Comparative Study of Modal Verb Frameworks with Annotated Datasets—0
Dense Feature Memory Augmented Transformers for COVID-19 Vaccination Search Classification—0
CLIPPO: Image-and-Language Understanding from Pixels Only—0
The KITMUS Test: Evaluating Knowledge Integration from Multiple Sources in Natural Language Understanding SystemsCode0
The Massively Multilingual Natural Language Understanding 2022 (MMNLU-22) Workshop and Competition—0
Collaborating Heterogeneous Natural Language Processing Tasks via Federated Learning—0
Continuation KD: Improved Knowledge Distillation through the Lens of Continuation Optimization—0
RPN: A Word Vector Level Data Augmentation Algorithm in Deep Learning for Language UnderstandingCode0
Feature-Level Debiased Natural Language UnderstandingCode0
Modern French Poetry Generation with RoBERTa and GPT-2—0
NarraSum: A Large-Scale Dataset for Abstractive Narrative SummarizationCode0
Fuse and Adapt: Investigating the Use of Pre-Trained Self-Supervising Learning Models in Limited Data NLU problems—0
X-PuDu at SemEval-2022 Task 6: Multilingual Learning for English and Arabic Sarcasm Detection—0
Zero-Shot Learning for Joint Intent and Slot Labeling—0
GPT-Neo for commonsense reasoning -- a theoretical and practical lensCode0
ESIE-BERT: Enriching Sub-words Information Explicitly with BERT for Joint Intent Classification and SlotFilling—0
Bidirectional Representations for Low Resource Spoken Language Understanding—0
Agent-Specific Deontic Modality Detection in Legal Language—0
Explaining (Sarcastic) Utterances to Enhance Affect Understanding in Multimodal DialoguesCode0
Embracing Ambiguity: Improving Similarity-oriented Tasks with Contextual Synonym Knowledge—0
Where did you tweet from? Inferring the origin locations of tweets based on contextual information—0
Breakpoint Transformers for Modeling and Tracking Intermediate BeliefsCode0
A Survey of Knowledge Enhanced Pre-trained Language Models—0
Local Structure Matters Most in Most Languages—0
NaturalAdversaries: Can Naturalistic Adversaries Be as Effective as Artificial Adversaries?—0
End-to-End Evaluation of a Spoken Dialogue System for Learning Basic Mathematics—0
Multi-level Distillation of Semantic Knowledge for Pre-training Multilingual Language Model—0
Web-API-Based Chatbot Generation with Analysis and Expansion for Training Sentences—0
Debiasing Masks: A New Framework for Shortcut Mitigation in NLUCode0
Privately Fine-Tuning Large Language Models with Differential Privacy—0
Leveraging Affirmative Interpretations from Negation Improves Natural Language UnderstandingCode0
IDK-MRC: Unanswerable Questions for Indonesian Machine Reading ComprehensionCode0
ExPUNations: Augmenting Puns with Keywords and ExplanationsCode0
Training Dynamics for Curriculum Learning: A Study on Monolingual and Cross-lingual NLU—0
Enhancing Out-of-Distribution Detection in Natural Language Understanding via Implicit Layer EnsembleCode0
Language Detoxification with Attribute-Discriminative Latent SpaceCode0
Explainable Slot Type Attentions to Improve Joint Intent Detection and Slot Filling—0
Textual Entailment Recognition with Semantic Features from Empirical Text Representation—0
Team Flow at DRC2022: Pipeline System for Travel Destination Recommendation Task in Spoken Dialogue—0
Revisiting the Roles of "Text" in Text Games—0
Can Language Representation Models Think in Bets?—0
Prompt Conditioned VAE: Enhancing Generative Replay for Lifelong Learning in Task-Oriented Dialogue—0
Instance Regularization for Discriminative Language Model Pre-trainingCode0
Revisiting and Advancing Chinese Natural Language Understanding with Accelerated Heterogeneous Knowledge Pre-training—0
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All datasetsPDP60STREUSLELexGLUEDialoGLUE fewshotDialoGLUE fullGLUE

Benchmark Results

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