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 1151–1200 of 1978 papers

TitleStatusHype
Slugbot: An Application of a Novel and Scalable Open Domain Socialbot Framework—0
SOCCER: An Information-Sparse Discourse State Tracking Collection in the Sports Commentary Domain—0
Solving Hard Coreference Problems—0
SpaLLM: Unified Compressive Adaptation of Large Language Models with Sketching—0
Sparse associative memory based on contextual code learning for disambiguating word senses—0
Sparse Attention with Learning to Hash—0
Speaker-Sensitive Dual Memory Networks for Multi-Turn Slot Tagging—0
Spectral decomposition method of dialog state tracking via collective matrix factorization—0
Speech2Slot: An End-to-End Knowledge-based Slot Filling from Speech—0
Speech-language Pre-training for End-to-end Spoken Language Understanding—0
Speech To Semantics: Improve ASR and NLU Jointly via All-Neural Interfaces—0
SplitLLM: Collaborative Inference of LLMs for Model Placement and Throughput Optimization—0
Spoken Language Understanding for Conversational AI: Recent Advances and Future Direction—0
SQLfuse: Enhancing Text-to-SQL Performance through Comprehensive LLM Synergy—0
SQuARE: Semantics-based Question Answering and Reasoning Engine—0
Stable Natural Language Understanding via Invariant Causal Constraint—0
State and Memory is All You Need for Robust and Reliable AI Agents—0
Statistically Profiling Biases in Natural Language Reasoning Datasets and Models—0
Statistical Model Compression for Small-Footprint Natural Language Understanding—0
Stochastic Parrots or ICU Experts? Large Language Models in Critical Care Medicine: A Scoping Review—0
Story Comprehension for Predicting What Happens Next—0
StraGo: Harnessing Strategic Guidance for Prompt Optimization—0
Strategies to Improve Few-shot Learning for Intent Classification and Slot-Filling—0
Strategy-level Entrainment of Dialogue System Users in a Creative Visual Reference Resolution Task—0
StreamLink: Large-Language-Model Driven Distributed Data Engineering System—0
Stress Test Evaluation of Transformer-based Models in Natural Language Understanding Tasks—0
StructBERT: Incorporating Language Structures into Pre-training for Deep Language Understanding—0
Structure-aware Sentence Encoder in Bert-Based Siamese Network—0
Structured Knowledge Discovery from Massive Text Corpus—0
Structured Prompting and Feedback-Guided Reasoning with LLMs for Data Interpretation—0
Submodularity-Inspired Data Selection for Goal-Oriented Chatbot Training Based on Sentence Embeddings—0
Summary Level Training of Sentence Rewriting for Abstractive Summarization—0
Supervised Domain Enablement Attention for Personalized Domain Classification—0
SVFit: Parameter-Efficient Fine-Tuning of Large Pre-Trained Models Using Singular Values—0
SVIP: Towards Verifiable Inference of Open-source Large Language Models—0
SV-LLM: An Agentic Approach for SoC Security Verification using Large Language Models—0
SymGPT: Auditing Smart Contracts via Combining Symbolic Execution with Large Language Models—0
Synergizing Machine Learning & Symbolic Methods: A Survey on Hybrid Approaches to Natural Language Processing—0
Syntactic Structure Distillation Pretraining For Bidirectional Encoders—0
Syntax-Infused Transformer and BERT models for Machine Translation and Natural Language Understanding—0
Synthesize, Partition, then Adapt: Eliciting Diverse Samples from Foundation Models—0
TableFormer: Robust Transformer Modeling for Table-Text Encoding—0
TaCL: Improving BERT Pre-training with Token-aware Contrastive Learning—0
TALKPLAY: Multimodal Music Recommendation with Large Language Models—0
Taming the Beast: Learning to Control Neural Conversational Models—0
TapWeight: Reweighting Pretraining Objectives for Task-Adaptive Pretraining—0
Targeted Adversarial Training for Natural Language Understanding—0
Targeted Aspect-Based Sentiment Analysis via Embedding Commonsense Knowledge into an Attentive LSTM—0
Target Model Agnostic Adversarial Attacks with Query Budgets on Language Understanding Models—0
Task-adaptive Pre-training and Self-training are Complementary for Natural Language Understanding—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