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

Showing 901950 of 1978 papers

TitleStatusHype
Explore the Potential of LLMs in Misinformation Detection: An Empirical Study0
Improving Event Temporal Relation Classification via Auxiliary Label-Aware Contrastive Learning0
A Review of Meta-Reinforcement Learning for Deep Neural Networks Architecture Search0
An Efficient DP-SGD Mechanism for Large Scale NLP Models0
Knowledge Distillation with Noisy Labels for Natural Language Understanding0
Improving Multimodal Large Language Models Using Continual Learning0
Knowledge-driven Natural Language Understanding of English Text and its Applications0
Enhanced Recommendation Combining Collaborative Filtering and Large Language Models0
CRUISE: Cold-Start New Skill Development via Iterative Utterance Generation0
Crowd-sourcing annotation of complex NLU tasks: A case study of argumentative content annotation0
Improving Romanian BioNER Using a Biologically Inspired System0
Improving Small-Scale Large Language Models Function Calling for Reasoning Tasks0
Enhanced English Universal Dependencies: An Improved Representation for Natural Language Understanding Tasks0
Improving Spoken Language Understanding By Exploiting ASR N-best Hypotheses0
Improving the Inference of Implicit Discourse Relations via Classifying Explicit Discourse Connectives0
Improving the Language Understanding Capabilities of Large Language Models Using Reinforcement Learning0
A Retrospective Recount of Computer Architecture Research with a Data-Driven Study of Over Four Decades of ISCA Publications0
Improving Tokenisation by Alternative Treatment of Spaces0
Engineering Safety Requirements for Autonomous Driving with Large Language Models0
Energy-Based Models with Applications to Speech and Language Processing0
Can Language Representation Models Think in Bets?0
Are the Tools up to the Task? an Evaluation of Commercial Dialog Tools in Developing Conversational Enterprise-grade Dialog Systems0
Incorporating Explicit Knowledge in Pre-trained Language Models for Passage Re-ranking0
Curriculum: A Broad-Coverage Benchmark for Linguistic Phenomena in Natural Language Understanding0
Incorporating Syntax and Frame Semantics in Neural Network for Machine Reading Comprehension0
End-to-End Spoken Language Understanding: Performance analyses of a voice command task in a low resource setting0
On joint training with interfaces for spoken language understanding0
End-to-End Self-Debiasing Framework for Robust NLU Training0
Canary Extraction in Natural Language Understanding Models0
A Hybrid Neuro-Symbolic approach for Text-Based Games using Inductive Logic Programming0
End-to-End Natural Language Understanding Pipeline for Bangla Conversational Agents0
Can a Gorilla Ride a Camel? Learning Semantic Plausibility from Text0
CALM: Contrastive Aligned Audio-Language Multirate and Multimodal Representations0
End-to-End Evaluation of a Spoken Dialogue System for Learning Basic Mathematics0
A Re-ranker Scheme for Integrating Large Scale NLU models0
Industry Scale Semi-Supervised Learning for Natural Language Understanding0
Inference Annotation of a Chinese Corpus for Opinion Mining0
Inferring Compact Representations for Efficient Natural Language Understanding of Robot Instructions0
Knowledge as a Teacher: Knowledge-Guided Structural Attention Networks0
InfoPrompt: Information-Theoretic Soft Prompt Tuning for Natural Language Understanding0
Are Prompt-based Models Clueless?0
Enabling All In-Edge Deep Learning: A Literature Review0
A Hybrid Neural Network Model for Commonsense Reasoning0
A Brief Survey and Comparative Study of Recent Development of Pronoun Coreference Resolution in English0
Knowledge Distillation Meets Few-Shot Learning: An Approach for Few-Shot Intent Classification Within and Across Domains0
Inspecting Spoken Language Understanding from Kids for Basic Math Learning at Home0
Empirical study of pretrained multilingual language models for zero-shot cross-lingual knowledge transfer in generation0
Inspecting the concept knowledge graph encoded by modern language models0
Integrated Learning of Dialog Strategies and Semantic Parsing0
A Hybrid Model of Classification and Generation for Spatial Relation Extraction0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1HNNAccuracy90Unverified
2UDSSM-II (ensemble)Accuracy78.3Unverified
3BERT-large 340MAccuracy78.3Unverified
4UDSSM-I (ensemble)Accuracy76.7Unverified
5DSSMAccuracy75Unverified
6UDSSM-IIAccuracy75Unverified
7BERT-base 110M + MASAccuracy68.3Unverified
8USSM + Supervised Deepnet + 3 Knowledge BasesAccuracy66.7Unverified
9Word-level CNN+LSTM (full scoring)Accuracy60Unverified
10Subword-level Transformer LMAccuracy58.3Unverified
#ModelMetricClaimedVerifiedStatus
1BERT (pred POS/lemmas)Tags (Full) Acc82.5Unverified
2BERT (none)Tags (Full) Acc82Unverified
3BERT (gold POS/lemmas)Tags (Full) Acc81Unverified
4GloVe (gold POS/lemmas)Tags (Full) Acc79.3Unverified
5RoBERTa + LinearFull F1 (Preps)78.2Unverified
6GloVe (none)Tags (Full) Acc77.5Unverified
7GloVe (pred POS/lemmas)Tags (Full) Acc77.1Unverified
8SVM (feature-rich, gold syntax)Role F1 (Preps)62.2Unverified
9BiLSTM + MLP (gold syntax)Role F1 (Preps)62.2Unverified
10SVM (feature-rich, auto syntax)Role F1 (Preps)58.2Unverified
#ModelMetricClaimedVerifiedStatus
1CaseLaw-BERTCaseHOLD75.6Unverified
2Legal-BERTCaseHOLD75.1Unverified
3DeBERTaCaseHOLD72.1Unverified
4LongformerCaseHOLD72Unverified
5RoBERTaCaseHOLD71.7Unverified
6BERTCaseHOLD70.7Unverified
7BigBirdCaseHOLD70.4Unverified
#ModelMetricClaimedVerifiedStatus
1ConvBERT-DGAverage74.6Unverified
2ConvBERT-DG + Pre + MultiAverage73.8Unverified
3mslmAverage73.49Unverified
4ConvBERT + Pre + MultiAverage68.22Unverified
5BanLanGenAverage39.16Unverified
#ModelMetricClaimedVerifiedStatus
1ConvBERT + Pre + MultiAverage86.89Unverified
2mslmAverage85.83Unverified
3ConvBERT-DG + Pre + MultiAverage85.34Unverified
#ModelMetricClaimedVerifiedStatus
1MT-DNN-SMARTAverage89.9Unverified
2BERT-LARGEAverage82.1Unverified