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 951–1000 of 1978 papers

TitleStatusHype
Semi-Supervised Neural Text Generation by Joint Learning of Natural Language Generation and Natural Language Understanding Models—0
Variational Semi-supervised Aspect-term Sentiment Analysis via Transformer—0
SenseBERT: Driving Some Sense into BERT—0
SenticNet 7: A Commonsense-based Neurosymbolic AI Framework for Explainable Sentiment Analysis—0
Sequential Cross-Document Coreference Resolution—0
Shortcut Learning of Large Language Models in Natural Language Understanding—0
ShortcutLens: A Visual Analytics Approach for Exploring Shortcuts in Natural Language Understanding Dataset—0
Show Us the Way: Learning to Manage Dialog from Demonstrations—0
Simple and Effective Gradient-Based Tuning of Sequence-to-Sequence Models—0
Simple Contrastive Representation Adversarial Learning for NLP Tasks—0
Situated Incremental Natural Language Understanding using a Multimodal, Linguistically-driven Update Model—0
Sketching a Linguistically-Driven Reasoning Dialog Model for Social Talk—0
SkillBot: Towards Automatic Skill Development via User Demonstration—0
SkillNet-X: A Multilingual Multitask Model with Sparsely Activated Skills—0
Skeleton: A New Framework for Accelerating Language Models via Task Neuron Localized Prompt Tuning—0
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
Show:102550
← PrevPage 20 of 40Next →
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