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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 801–850 of 1978 papers

TitleStatusHype
tagE: Enabling an Embodied Agent to Understand Human InstructionsCode0
CoF-CoT: Enhancing Large Language Models with Coarse-to-Fine Chain-of-Thought Prompting for Multi-domain NLU TasksCode0
Primacy Effect of ChatGPTCode0
Explaining Interactions Between Text SpansCode0
StoryAnalogy: Deriving Story-level Analogies from Large Language Models to Unlock Analogical UnderstandingCode0
Chain-of-Thought Tuning: Masked Language Models can also Think Step By Step in Natural Language Understanding—0
Adaptation with Self-Evaluation to Improve Selective Prediction in LLMs—0
Towards Automatic Satellite Images Captions Generation Using Large Language Models—0
Core Building Blocks: Next Gen Geo Spatial GPT Application—0
Empirical study of pretrained multilingual language models for zero-shot cross-lingual knowledge transfer in generation—0
Rethinking Relation Classification with Graph Meaning Representations—0
Developing a Natural Language Understanding Model to Characterize Cable News Bias—0
Evaluating The Effectiveness of Capsule Neural Network in Toxic Comment Classification using Pre-trained BERT EmbeddingsCode0
The Limits of ChatGPT in Extracting Aspect-Category-Opinion-Sentiment Quadruples: A Comparative Analysis—0
Creation Of A ChatBot Based On Natural Language Proccesing For Whatsapp—0
GPT-4 as an Agronomist Assistant? Answering Agriculture Exams Using Large Language Models—0
Dobby: A Conversational Service Robot Driven by GPT-4—0
LLM for SoC Security: A Paradigm Shift—0
SC-Safety: A Multi-round Open-ended Question Adversarial Safety Benchmark for Large Language Models in Chinese—0
RAC-BERT: Character Radical Enhanced BERT for Ancient ChineseCode0
Tuning In to Neural Encoding: Linking Human Brain and Artificial Supervised Representations of Language—0
Batch Calibration: Rethinking Calibration for In-Context Learning and Prompt Engineering—0
ENIGMA-51: Towards a Fine-Grained Understanding of Human-Object Interactions in Industrial Scenarios—0
Explainable and Accurate Natural Language Understanding for Voice Assistants and Beyond—0
Natural Language based Context Modeling and Reasoning for Ubiquitous Computing with Large Language Models: A Tutorial—0
Rethinking the Evaluating Framework for Natural Language Understanding in AI Systems: Language Acquisition as a Core for Future Metrics—0
Implicit Differentiable Outlier Detection Enable Robust Deep Multimodal AnalysisCode0
Sequence-to-Sequence Spanish Pre-trained Language ModelsCode0
A Family of Pretrained Transformer Language Models for Russian—0
Proposition from the Perspective of Chinese Language: A Chinese Proposition Classification Evaluation Benchmark—0
Mitigating Shortcuts in Language Models with Soft Label Encoding—0
Complex-Valued Neural Networks for Data-Driven Signal Processing and Signal Understanding—0
Long-Range Transformer Architectures for Document UnderstandingCode0
Tidying Up the Conversational Recommender Systems' Biases—0
A Comparative Analysis of Pretrained Language Models for Text-to-Speech—0
Multilingual Text Representation—0
ChatGPT as Data Augmentation for Compositional Generalization: A Case Study in Open Intent DetectionCode0
A Modular and Adaptive System for Business Email Compromise Detection—0
HICL: Hashtag-Driven In-Context Learning for Social Media Natural Language UnderstandingCode0
Sarcasm Detection in a Disaster ContextCode0
MDDial: A Multi-turn Differential Diagnosis Dialogue Dataset with Reliability EvaluationCode0
Painter: Teaching Auto-regressive Language Models to Draw Sketches—0
Enhancing Performance on Seen and Unseen Dialogue Scenarios using Retrieval-Augmented End-to-End Task-Oriented System—0
AudioFormer: Audio Transformer learns audio feature representations from discrete acoustic codesCode0
C5: Towards Better Conversation Comprehension and Contextual Continuity for ChatGPT—0
Slot Induction via Pre-trained Language Model Probing and Multi-level Contrastive LearningCode0
Intelligent Assistant Language Understanding On Device—0
Word Sense Disambiguation as a Game of Neurosymbolic Darts—0
A Dialogue System for Assessing Activities of Daily Living: Improving Consistency with Grounded Knowledge—0
Is Prompt-Based Finetuning Always Better than Vanilla Finetuning? Insights from Cross-Lingual Language UnderstandingCode0
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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