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 1051–1100 of 1978 papers

TitleStatusHype
End-to-End Spoken Language Understanding: Performance analyses of a voice command task in a low resource setting—0
Learning to translate by learning to communicateCode0
Forming Trees with Treeformers—0
Chat-to-Design: AI Assisted Personalized Fashion Design—0
Yes, No or IDK: The Challenge of Unanswerable Yes/No Questions—0
Lightweight Transformers for Conversational AI—0
A New Concept of Knowledge based Question Answering (KBQA) System for Multi-hop Reasoning—0
m-Networks: Adapting the Triplet Networks for Acronym DisambiguationCode0
A Dog Is Passing Over The Jet? A Text-Generation Dataset for Korean Commonsense Reasoning and Evaluation—0
RGL: A Simple yet Effective Relation Graph Augmented Prompt-based Tuning Approach for Few-Shot Learning—0
On Curriculum Learning for Commonsense ReasoningCode0
NER4ID at SemEval-2022 Task 2: Named Entity Recognition for Idiomaticity DetectionCode0
AlexU-AL at SemEval-2022 Task 6: Detecting Sarcasm in Arabic Text Using Deep Learning TechniquesCode0
Efficient Learning of Multiple NLP Tasks via Collective Weight Factorization on BERT—0
Efficient Semi-supervised Consistency Training for Natural Language Understanding—0
Dyna-bAbI: unlocking bAbI’s potential with dynamic synthetic benchmarking—0
Enhancing Self-Attention with Knowledge-Assisted Attention Maps—0
ID10M: Idiom Identification in 10 LanguagesCode0
Strategies to Improve Few-shot Learning for Intent Classification and Slot-Filling—0
Is neural language acquisition similar to natural? A chronological probing studyCode0
Compressing Pre-trained Transformers via Low-Bit NxM Sparsity for Natural Language Understanding—0
Not Cheating on the Turing Test: Towards Grounded Language Learning in Artificial Intelligence—0
ZoDIAC: Zoneout Dropout Injection Attention CalculationCode0
Meta Auxiliary Learning for Low-resource Spoken Language Understanding—0
Unified BERT for Few-shot Natural Language Understanding—0
Why Robust Natural Language Understanding is a Challenge—0
Alexa Teacher Model: Pretraining and Distilling Multi-Billion-Parameter Encoders for Natural Language Understanding Systems—0
CHQ-Summ: A Dataset for Consumer Healthcare Question SummarizationCode0
ProcTHOR: Large-Scale Embodied AI Using Procedural Generation—0
Transformer based Urdu Handwritten Text Optical Character Reader—0
BaSCo: An Annotated Basque-Spanish Code-Switching Corpus for Natural Language Understanding—0
A Large Interlinked Knowledge Graph of the Italian Cultural Heritage—0
Question Modifiers in Visual Question Answering—0
Negation Detection in Dutch Spoken Human-Computer Conversations—0
Dialogue Act and Slot Recognition in Italian Complex Dialogues—0
Exploring Text Recombination for Automatic Narrative Level Detection—0
Towards Building a Spoken Dialogue System for Argument Exploration—0
The Robotic Surgery Procedural FramebankCode0
BasqueGLUE: A Natural Language Understanding Benchmark for BasqueCode0
SenticNet 7: A Commonsense-based Neurosymbolic AI Framework for Explainable Sentiment Analysis—0
Strategy-level Entrainment of Dialogue System Users in a Creative Visual Reference Resolution Task—0
Étiquetage ou génération de séquences pour la compréhension automatique du langage en contexte d’interaction? (Sequence tagging or sequence generation for Natural Language Understanding ?)—0
DTW at Qur’an QA 2022: Utilising Transfer Learning with Transformers for Question Answering in a Low-resource DomainCode0
A Multi-level Supervised Contrastive Learning Framework for Low-Resource Natural Language Inference—0
E2S2: Encoding-Enhanced Sequence-to-Sequence Pretraining for Language Understanding and GenerationCode0
IGLU 2022: Interactive Grounded Language Understanding in a Collaborative Environment at NeurIPS 2022Code0
NLU for Game-based Learning in Real: Initial Evaluations—0
Automatic question generation based on sentence structure analysis using machine learning approach—0
A Survey on Neural Open Information Extraction: Current Status and Future Directions—0
When More Data Hurts: A Troubling Quirk in Developing Broad-Coverage Natural Language Understanding SystemsCode0
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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