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 1251–1300 of 1978 papers

TitleStatusHype
ArabicNLU 2024: The First Arabic Natural Language Understanding Shared Task—0
A recipe for annotating grounded clarifications—0
Are Large Language Models the New Interface for Data Pipelines?—0
A Relational Tsetlin Machine with Applications to Natural Language Understanding—0
Are LLMs Effective Backbones for Fine-tuning? An Experimental Investigation of Supervised LLMs on Chinese Short Text Matching—0
Are Multilingual Models Effective in Code-Switching?—0
Are Prompt-based Models Clueless?—0
A Re-ranker Scheme for Integrating Large Scale NLU models—0
Are the Tools up to the Task? an Evaluation of Commercial Dialog Tools in Developing Conversational Enterprise-grade Dialog Systems—0
A Retrospective Recount of Computer Architecture Research with a Data-Driven Study of Over Four Decades of ISCA Publications—0
A Review of Meta-Reinforcement Learning for Deep Neural Networks Architecture Search—0
A Review of Meta-Reinforcement Learning for Deep Neural Networks Architecture Search—0
A Review of Text Style Transfer using Deep Learning—0
A Review of Winograd Schema Challenge Datasets and Approaches—0
A Review on Large Language Models for Visual Analytics—0
Argument Linking: A Survey and Forecast—0
Argument Mining: A Survey—0
A scalable framework for learning from implicit user feedback to improve natural language understanding in large-scale conversational AI systems—0
A Scalable Neural Shortlisting-Reranking Approach for Large-Scale Domain Classification in Natural Language Understanding—0
A Semantic Web Framework for Automated Smart Assistants: COVID-19 Case Study—0
N-Shot Learning for Augmenting Task-Oriented Dialogue State Tracking—0
A Simple Machine Learning Method for Commonsense Reasoning? A Short Commentary on Trinh & Le (2018)—0
Ask, and shall you receive?: Understanding Desire Fulfillment in Natural Language Text—0
Aspect Based Sentiment Analysis Using Spectral Temporal Graph Neural Network—0
A Spoken Dialogue System for Spatial Question Answering in a Physical Blocks World—0
ASR-GLUE: A New Multi-task Benchmark for ASR-Robust Natural Language Understanding—0
Assessing how hyperparameters impact Large Language Models' sarcasm detection performance—0
Assessing Language Comprehension in Large Language Models Using Construction Grammar—0
Evaluating LLMs' Mathematical Reasoning in Financial Document Question Answering—0
Assessing the Severity of Health States based on Social Media Posts—0
A State of the Art of Word Sense Induction: A Way Towards Word Sense Disambiguation for Under-Resourced Languages—0
A Straightforward Approach to Narratologically Grounded Character Identification—0
A Structured Learning Approach to Temporal Relation Extraction—0
A Surprisingly Robust Trick for the Winograd Schema Challenge—0
A Survey for Large Language Models in Biomedicine—0
A Survey of Foundation Model-Powered Recommender Systems: From Feature-Based, Generative to Agentic Paradigms—0
A survey of joint intent detection and slot-filling models in natural language understanding—0
A Survey of Knowledge Enhanced Pre-trained Language Models—0
A Survey of Reinforcement Learning Informed by Natural Language—0
A Survey of Sustainability in Large Language Models: Applications, Economics, and Challenges—0
A Survey on Knowledge-Oriented Retrieval-Augmented Generation—0
A Survey on Large Language Model (LLM) Security and Privacy: The Good, the Bad, and the Ugly—0
A Survey on Neural Open Information Extraction: Current Status and Future Directions—0
A Survey on Temporal Reasoning for Temporal Information Extraction from Text (Extended Abstract)—0
A Systematic Review of Deep Graph Neural Networks: Challenges, Classification, Architectures, Applications & Potential Utility in Bioinformatics—0
A Transformer-based Threshold-Free Framework for Multi-Intent NLU—0
A Transformer-based Threshold-Free Framework for Multi-Intent NLU—0
Attention Beam: An Image Captioning Approach—0
Attentive Contextual Carryover for Multi-Turn End-to-End Spoken Language Understanding—0
Attentive Task-Agnostic Meta-Learning for Few-Shot Text Classification—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