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 751–800 of 1978 papers

TitleStatusHype
ReFusion: Improving Natural Language Understanding with Computation-Efficient Retrieval Representation FusionCode0
Task Oriented Dialogue as a Catalyst for Self-Supervised Automatic Speech RecognitionCode0
PerSHOP -- A Persian dataset for shopping dialogue systems modeling—0
Supervised Knowledge Makes Large Language Models Better In-context LearnersCode0
KnowledgeNavigator: Leveraging Large Language Models for Enhanced Reasoning over Knowledge Graph—0
PersianLLaMA: Towards Building First Persian Large Language Model—0
Imitation of Life: A Search Engine for Biologically Inspired DesignCode0
DSFormer: Effective Compression of Text-Transformers by Dense-Sparse Weight Factorization—0
TESS: A Multi-intent Parser for Conversational Multi-Agent Systems with Decentralized Natural Language Understanding Models—0
ConsistentEE: A Consistent and Hardness-Guided Early Exiting Method for Accelerating Language Models InferenceCode0
Bengali Intent Classification with Generative Adversarial BERTCode0
Continuous Prompt Generation from Linear Combination of Discrete Prompt EmbeddingsCode0
LLaMAntino: LLaMA 2 Models for Effective Text Generation in Italian Language—0
RDR: the Recap, Deliberate, and Respond Method for Enhanced Language Understanding—0
Labels Need Prompts Too: Mask Matching for Natural Language Understanding Tasks—0
PROPRES: Investigating the Projectivity of Presupposition with Various Triggers and EnvironmentsCode0
Rethinking the Instruction Quality: LIFT is What You Need—0
Building Domain-Specific LLMs Faithful To The Islamic Worldview: Mirage or Technical Possibility?—0
IEKG: A Commonsense Knowledge Graph for Idiomatic ExpressionsCode0
Retrieval-based Video Language Model for Efficient Long Video Question Answering—0
A Study on the Calibration of In-context LearningCode0
Improving Bias Mitigation through Bias Experts in Natural Language UnderstandingCode0
Visually Grounded Language Learning: a review of language games, datasets, tasks, and models—0
A Survey on Large Language Model (LLM) Security and Privacy: The Good, the Bad, and the Ugly—0
NLEBench+NorGLM: A Comprehensive Empirical Analysis and Benchmark Dataset for Generative Language Models in NorwegianCode0
From Beginner to Expert: Modeling Medical Knowledge into General LLMs—0
Self Generated Wargame AI: Double Layer Agent Task Planning Based on Large Language Model—0
Summarization-based Data Augmentation for Document ClassificationCode0
Exploring the Robustness of Model-Graded Evaluations and Automated Interpretability—0
Explore the Potential of LLMs in Misinformation Detection: An Empirical Study—0
MultiLoRA: Democratizing LoRA for Better Multi-Task Learning—0
SQATIN: Supervised Instruction Tuning Meets Question Answering for Improved Dialogue NLUCode0
You don't need a personality test to know these models are unreliable: Assessing the Reliability of Large Language Models on Psychometric InstrumentsCode0
Effective Large Language Model Adaptation for Improved Grounding and Citation Generation—0
On the Calibration of Multilingual Question Answering LLMs—0
Fusion-Eval: Integrating Assistant Evaluators with LLMs—0
Explanation-aware Soft Ensemble Empowers Large Language Model In-context Learning—0
Learning Knowledge-Enhanced Contextual Language Representations for Domain Natural Language Understanding—0
DACBERT: Leveraging Dependency Agreement for Cost-Efficient Bert Pretraining—0
RankAug: Augmented data ranking for text classification—0
Relation Extraction Model Based on Semantic Enhancement Mechanism—0
A Systematic Review of Deep Graph Neural Networks: Challenges, Classification, Architectures, Applications & Potential Utility in Bioinformatics—0
MARRS: Multimodal Reference Resolution System—0
IBADR: an Iterative Bias-Aware Dataset Refinement Framework for Debiasing NLU models—0
Dense Retrieval as Indirect Supervision for Large-space Decision MakingCode0
TLM: Token-Level Masking for TransformersCode0
Large-scale Foundation Models and Generative AI for BigData Neuroscience—0
Evaluation of large language models using an Indian language LGBTI+ lexicon—0
Meaning and understanding in large language models—0
Back Transcription as a Method for Evaluating Robustness of Natural Language Understanding Models to Speech Recognition ErrorsCode0
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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