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 601–650 of 1978 papers

TitleStatusHype
Joint Semantic Analysis with Document-Level Cross-Task Coherence RewardsCode0
Is the Understanding of Explicit Discourse Relations Required in Machine Reading Comprehension?Code0
Is Supervised Syntactic Parsing Beneficial for Language Understanding? An Empirical InvestigationCode0
Jack the Reader -- A Machine Reading FrameworkCode0
Joint Slot Filling and Intent Detection via Capsule Neural NetworksCode0
Is Multimodal Vision Supervision Beneficial to Language?Code0
Investigating the (De)Composition Capabilities of Large Language Models in Natural-to-Formal Language ConversionCode0
Is neural language acquisition similar to natural? A chronological probing studyCode0
Integrating Task Specific Information into Pretrained Language Models for Low Resource Fine TuningCode0
Intent Detection and Entity Extraction from BioMedical LiteratureCode0
Instance Regularization for Discriminative Language Model Pre-trainingCode0
End-to-End Knowledge-Routed Relational Dialogue System for Automatic DiagnosisCode0
End-to-End Joint Learning of Natural Language Understanding and Dialogue ManagerCode0
Call Larisa Ivanovna: Code-Switching Fools Multilingual NLU ModelsCode0
Encoder-Agnostic Adaptation for Conditional Language GenerationCode0
Injecting Domain-Specific Knowledge into Large Language Models: A Comprehensive SurveyCode0
Empirical Analysis of Foundational Distinctions in Linked Open DataCode0
Calibration of Natural Language Understanding Models with Venn--ABERS PredictorsCode0
Improving the Efficiency of Visually Augmented Language ModelsCode0
A Case Study and Qualitative Analysis of Simple Cross-Lingual Opinion MiningCode0
Improving Tokenisation by Alternative Treatment of SpacesCode0
Incorporating Graph Attention Mechanism into Geometric Problem Solving Based on Deep Reinforcement LearningCode0
INSET: Sentence Infilling with INter-SEntential TransformerCode0
Improving Dialectal Slot and Intent Detection with Auxiliary Tasks: A Multi-Dialectal Bavarian Case StudyCode0
Improving Grounded Natural Language Understanding through Human-Robot DialogCode0
Improving Bias Mitigation through Bias Experts in Natural Language UnderstandingCode0
Intent Features for Rich Natural Language UnderstandingCode0
Intra-Correlation Encoding for Chinese Sentence Intention MatchingCode0
Can Large Language Models Capture Dissenting Human Voices?Code0
Implicit Differentiable Outlier Detection Enable Robust Deep Multimodal AnalysisCode0
Enhancing Cross-lingual Natural Language Inference by Prompt-learning from Cross-lingual TemplatesCode0
Is Prompt-Based Finetuning Always Better than Vanilla Finetuning? Insights from Cross-Lingual Language UnderstandingCode0
Improving In-Context Learning with Small Language Model EnsemblesCode0
Is this sentence valid? An Arabic Dataset for Commonsense ValidationCode0
IGLU 2022: Interactive Grounded Language Understanding in a Collaborative Environment at NeurIPS 2022Code0
IEKG: A Commonsense Knowledge Graph for Idiomatic ExpressionsCode0
Imitation of Life: A Search Engine for Biologically Inspired DesignCode0
ID10M: Idiom Identification in 10 LanguagesCode0
Hysteresis Activation Function for Efficient InferenceCode0
IAI MovieBot 2.0: An Enhanced Research Platform with Trainable Neural Components and Transparent User ModelingCode0
Identifying Distributional Perspective Differences from Colingual GroupsCode0
How To Evaluate Your Dialogue System: Probe Tasks as an Alternative for Token-level Evaluation MetricsCode0
Effect of Visual Extensions on Natural Language Understanding in Vision-and-Language ModelsCode0
Effective Use of Transformer Networks for Entity TrackingCode0
A Context-based Approach for Dialogue Act Recognition using Simple Recurrent Neural NetworksCode0
IDK-MRC: Unanswerable Questions for Indonesian Machine Reading ComprehensionCode0
ReFusion: Improving Natural Language Understanding with Computation-Efficient Retrieval Representation FusionCode0
Hierarchical Transformer for Task Oriented Dialog SystemsCode0
EdgeProfiler: A Fast Profiling Framework for Lightweight LLMs on Edge Using Analytical ModelCode0
Hierarchical Multi-Task Natural Language Understanding for Cross-domain Conversational AI: HERMIT NLUCode0
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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