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 1351–1400 of 1978 papers

TitleStatusHype
X-PuDu at SemEval-2022 Task 6: Multilingual Learning for English and Arabic Sarcasm Detection—0
Yes, No or IDK: The Challenge of Unanswerable Yes/No Questions—0
YouTube for Patient Education: A Deep Learning Approach for Understanding Medical Knowledge from User-Generated Videos—0
Zero-Resource Multi-Dialectal Arabic Natural Language Understanding—0
Zero-shot Cross-lingual Dialogue Systems with Transferable Latent Variables—0
Zero-Shot Learning for Joint Intent and Slot Labeling—0
Zero-Shot Slot and Intent Detection in Low-Resource Languages—0
Zero-shot Slot Filling in the Age of LLMs for Dialogue Systems—0
Challenges and Prospects in Vision and Language Research—0
Integrated Learning of Dialog Strategies and Semantic Parsing—0
Semi-supervised Visual Feature Integration for Pre-trained Language Models—0
Integrating Heuristics and Learning in a Computational Architecture for Cognitive Trading—0
Integrating Large Language Models with Graphical Session-Based Recommendation—0
Intelligent Assistant Language Understanding On Device—0
Intent Generation for Goal-Oriented Dialogue Systems based on Schema.org Annotations—0
Intent Matching based Customer Services Chatbot with Natural Language Understanding—0
Intent Recognition and Unsupervised Slot Identification for Low Resourced Spoken Dialog Systems—0
Intermediate-Task Transfer Learning with Pretrained Models for Natural Language Understanding: When and Why Does It Work?—0
Intermediate-Task Transfer Learning with Pretrained Language Models: When and Why Does It Work?—0
InternalInspector I^2: Robust Confidence Estimation in LLMs through Internal States—0
Introducing the Talk Markup Language (TalkML):Adding a little social intelligence to industrial speech interfaces—0
Investigating Inner Properties of Multimodal Representation and Semantic Compositionality with Brain-based Componential Semantics—0
Investigating LLMs as Voting Assistants via Contextual Augmentation: A Case Study on the European Parliament Elections 2024—0
Investigating Meta-Learning Algorithms for Low-Resource Natural Language Understanding Tasks—0
Not Cheating on the Turing Test: Towards Grounded Language Learning in Artificial Intelligence—0
Is Knowledge Embedding Fully Exploited in Language Understanding? An Empirical Study—0
Is Language Modeling Enough? Evaluating Effective Embedding Combinations—0
Is Supervised Syntactic Parsing Beneficial for Language Understanding Tasks? An Empirical Investigation—0
Jailbreaking and Mitigation of Vulnerabilities in Large Language Models—0
Join-Chain Network: A Logical Reasoning View of the Multi-head Attention in Transformer—0
Joint Intent Detection And Slot Filling Based on Continual Learning Model—0
Joint Learning of Dialog Act Segmentation and Recognition in Spoken Dialog Using Neural Networks—0
Joint Multiple Intent Detection and Slot Filling via Self-distillation—0
Joint Reasoning for Temporal and Causal Relations—0
Jump Self-attention: Capturing High-order Statistics in Transformers—0
KALA: Knowledge-Augmented Language Model Adaptation—0
KBot: a Knowledge graph based chatBot for natural language understanding over linked data—0
KDE SenseForce at SemEval-2020 Task 4: Exploiting BERT for Commonsense Validation and Explanation—0
KEDRec-LM: A Knowledge-distilled Explainable Drug Recommendation Large Language Model—0
Key ingredients for effective zero-shot cross-lingual knowledge transfer in generative tasks—0
Knowledge as a Teacher: Knowledge-Guided Structural Attention Networks—0
Knowledge Distillation Meets Few-Shot Learning: An Approach for Few-Shot Intent Classification Within and Across Domains—0
Knowledge Distillation Using Frontier Open-source LLMs: Generalizability and the Role of Synthetic Data—0
Knowledge Distillation with Noisy Labels for Natural Language Understanding—0
Knowledge-driven Natural Language Understanding of English Text and its Applications—0
Knowledge Graph-extended Retrieval Augmented Generation for Question Answering—0
Knowledge Graph is in Rescue: Task Oriented Dialogue System for Response Generation without NLU and DM—0
KnowledgeNavigator: Leveraging Large Language Models for Enhanced Reasoning over Knowledge Graph—0
KnowYourNyms? A Game of Semantic Relationships—0
Kongzi: A Historical Large Language Model with Fact Enhancement—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