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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 1501–1550 of 1978 papers

TitleStatusHype
Dr. Summarize: Global Summarization of Medical Dialogue by Exploiting Local Structures—0
Dr. Summarize: Global Summarization of Medical Dialogue by Exploiting Local Structures.—0
Sharpness-Aware Minimization with Dynamic Reweighting—0
DSFormer: Effective Compression of Text-Transformers by Dense-Sparse Weight Factorization—0
Dual Convolutional LSTM Network for Referring Image Segmentation—0
D.Va: Validate Your Demonstration First Before You Use It—0
Dyna-bAbI: unlocking bAbI's potential with dynamic synthetic benchmarking—0
Dyna-bAbI: unlocking bAbI’s potential with dynamic synthetic benchmarking—0
Dynamic Integration of Background Knowledge in Neural NLU Systems—0
Dynamic Planning in Open-Ended Dialogue using Reinforcement Learning—0
Dynamic Self-Distillation via Previous Mini-batches for Fine-tuning Small Language Models—0
Ecological Semantics: Programming Environments for Situated Language Understanding—0
Effective Large Language Model Adaptation for Improved Grounding and Citation Generation—0
Effective Transfer Learning for Low-Resource Natural Language Understanding—0
Efficient Large-Scale Domain Classification with Personalized Attention—0
Efficient Large-Scale Neural Domain Classification with Personalized Attention—0
Efficient Learning of Multiple NLP Tasks via Collective Weight Factorization on BERT—0
EfficientQA : a RoBERTa Based Phrase-Indexed Question-Answering System—0
Efficient Semi-supervised Consistency Training for Natural Language Understanding—0
Efficient Semi-Supervised Learning for Natural Language Understanding by Optimizing Diversity—0
EICO: Improving Few-Shot Text Classification via Explicit and Implicit Consistency Regularization—0
Embodied AI in Mobile Robots: Coverage Path Planning with Large Language Models—0
Embracing Ambiguity: Improving Similarity-oriented Tasks with Contextual Synonym Knowledge—0
EmotionX-SmartDubai\_NLP: Detecting User Emotions In Social Media Text—0
EMP: Enhance Memory in Data Pruning—0
Empirical study of pretrained multilingual language models for zero-shot cross-lingual knowledge transfer in generation—0
Enabling All In-Edge Deep Learning: A Literature Review—0
End-to-End Evaluation of a Spoken Dialogue System for Learning Basic Mathematics—0
End-to-End Natural Language Understanding Pipeline for Bangla Conversational Agents—0
End-to-End Self-Debiasing Framework for Robust NLU Training—0
On joint training with interfaces for spoken language understanding—0
End-to-End Spoken Language Understanding: Performance analyses of a voice command task in a low resource setting—0
Energy-Based Models with Applications to Speech and Language Processing—0
Engineering Safety Requirements for Autonomous Driving with Large Language Models—0
Enhanced English Universal Dependencies: An Improved Representation for Natural Language Understanding Tasks—0
Enhanced Recommendation Combining Collaborative Filtering and Large Language Models—0
Enhancing Essay Scoring with Adversarial Weights Perturbation and Metric-specific AttentionPooling—0
Enhancing Human-Like Responses in Large Language Models—0
Enhancing Image Retrieval : A Comprehensive Study on Photo Search using the CLIP Mode—0
Enhancing Input-Label Mapping in In-Context Learning with Contrastive Decoding—0
Enhancing LLM with Evolutionary Fine Tuning for News Summary Generation—0
Enhancing Natural Language Understanding through Cross-Modal Interaction: Meaning Recovery from Acoustically Noisy Speech—0
Enhancing Performance on Seen and Unseen Dialogue Scenarios using Retrieval-Augmented End-to-End Task-Oriented System—0
Enhancing Self-Attention with Knowledge-Assisted Attention Maps—0
Enhancing Semantic Understanding with Self-supervised Methods for Abstractive Dialogue Summarization—0
Enhancing Semantic Word Representations by Embedding Deeper Word Relationships—0
Enhancing Slot Tagging with Intent Features for Task Oriented Natural Language Understanding using BERT—0
Enhancing Text Generation in Joint NLG/NLU Learning Through Curriculum Learning, Semi-Supervised Training, and Advanced Optimization Techniques—0
ENIGMA-51: Towards a Fine-Grained Understanding of Human-Object Interactions in Industrial Scenarios—0
Enriched Pre-trained Transformers for Joint Slot Filling and Intent Detection—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