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 15511600 of 1978 papers

TitleStatusHype
Multi-task Learning of Spoken Language Understanding by Integrating N-Best Hypotheses with Hierarchical Attention0
Multi-Task Learning of System Dialogue Act Selection for Supervised Pretraining of Goal-Oriented Dialogue Policies0
Multi-task learning to improve natural language understanding0
Multi-task Learning Using a Combination of Contextualised and Static Word Embeddings for Arabic Sarcasm Detection and Sentiment Analysis0
Multi-task Learning with Multi-head Attention for Multi-choice Reading Comprehension0
Multi-Task Networks With Universe, Group, and Task Feature Learning0
Multi-task RNN-T with Semantic Decoder for Streamable Spoken Language Understanding0
"My life is miserable, have to sign 500 autographs everyday": Exposing Humblebragging, the Brags in Disguise0
NaRLE: Natural Language Models using Reinforcement Learning with Emotion Feedback0
NaturalAdversaries: Can Naturalistic Adversaries Be as Effective as Artificial Adversaries?0
Natural Language based Context Modeling and Reasoning for Ubiquitous Computing with Large Language Models: A Tutorial0
Natural Language Generation0
Natural Language Instructions for Intuitive Human Interaction with Robotic Assistants in Field Construction Work0
Natural Language Processing for Dialects of a Language: A Survey0
Natural Language Understanding and Inference with MLLM in Visual Question Answering: A Survey0
Natural Language Understanding for Argumentative Dialogue Systems in the Opinion Building Domain0
Natural language understanding for task oriented dialog in the biomedical domain in a low resources context0
Instance Regularization for Discriminative Language Model Pre-trainingCode0
The Robotic Surgery Procedural FramebankCode0
Document Modeling with External Attention for Sentence ExtractionCode0
End-to-End Bias Mitigation by Modelling Biases in CorporaCode0
Doctor XAvIer: Explainable Diagnosis on Physician-Patient Dialogues and XAI EvaluationCode0
Integrating Task Specific Information into Pretrained Language Models for Low Resource Fine TuningCode0
Adversarial NLI: A New Benchmark for Natural Language UnderstandingCode0
Intent Detection and Entity Extraction from BioMedical LiteratureCode0
INSET: Sentence Infilling with INter-SEntential TransformerCode0
Intent Features for Rich Natural Language UnderstandingCode0
CoF-CoT: Enhancing Large Language Models with Coarse-to-Fine Chain-of-Thought Prompting for Multi-domain NLU TasksCode0
D-NLP at SemEval-2024 Task 2: Evaluating Clinical Inference Capabilities of Large Language ModelsCode0
DisSent: Sentence Representation Learning from Explicit Discourse RelationsCode0
Parameter-Efficient Tuning with Special Token AdaptationCode0
An Empirical Study on Cross-lingual Vocabulary Adaptation for Efficient Language Model InferenceCode0
The Text-Based Adventure AI CompetitionCode0
Intra-Correlation Encoding for Chinese Sentence Intention MatchingCode0
UMBCLU at SemEval-2024 Task 1A and 1C: Semantic Textual Relatedness with and without machine translationCode0
Uncertainty-Aware Natural Language Inference with Stochastic Weight AveragingCode0
DisSent: Learning Sentence Representations from Explicit Discourse RelationsCode0
Add Noise, Tasks, or Layers? MaiNLP at the VarDial 2025 Shared Task on Norwegian Dialectal Slot and Intent DetectionCode0
Investigating the (De)Composition Capabilities of Large Language Models in Natural-to-Formal Language ConversionCode0
Injecting Domain-Specific Knowledge into Large Language Models: A Comprehensive SurveyCode0
skLEP: A Slovak General Language Understanding BenchmarkCode0
CoDA21: Evaluating Language Understanding Capabilities of NLP Models With Context-Definition AlignmentCode0
Classification of telicity using cross-linguistic annotation projectionCode0
Is Multimodal Vision Supervision Beneficial to Language?Code0
Is neural language acquisition similar to natural? A chronological probing studyCode0
Incorporating Graph Attention Mechanism into Geometric Problem Solving Based on Deep Reinforcement LearningCode0
Is Prompt-Based Finetuning Always Better than Vanilla Finetuning? Insights from Cross-Lingual Language UnderstandingCode0
Is Supervised Syntactic Parsing Beneficial for Language Understanding? An Empirical InvestigationCode0
ChronoSense: Exploring Temporal Understanding in Large Language Models with Time Intervals of EventsCode0
Is the Understanding of Explicit Discourse Relations Required in Machine Reading Comprehension?Code0
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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