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 551600 of 1978 papers

TitleStatusHype
A Social Robot with Inner Speech for Dietary GuidanceCode0
Ask me in your own words: paraphrasing for multitask question answeringCode0
KEHRL: Learning Knowledge-Enhanced Language Representations with Hierarchical Reinforcement LearningCode0
Chinese Lexical Analysis with Deep Bi-GRU-CRF NetworkCode0
Leveraging Grammar Induction for Language Understanding and GenerationCode0
A Simple yet Effective Self-Debiasing Framework for Transformer ModelsCode0
A Simple Method for Commonsense ReasoningCode0
Joint Energy-based Model Training for Better Calibrated Natural Language Understanding ModelsCode0
Are We Modeling the Task or the Annotator? An Investigation of Annotator Bias in Natural Language Understanding DatasetsCode0
ChatGPT as Data Augmentation for Compositional Generalization: A Case Study in Open Intent DetectionCode0
Jack the Reader -- A Machine Reading FrameworkCode0
Is this sentence valid? An Arabic Dataset for Commonsense ValidationCode0
Is Prompt-Based Finetuning Always Better than Vanilla Finetuning? Insights from Cross-Lingual Language UnderstandingCode0
Is Multimodal Vision Supervision Beneficial to Language?Code0
Is neural language acquisition similar to natural? A chronological probing studyCode0
Is Supervised Syntactic Parsing Beneficial for Language Understanding? An Empirical InvestigationCode0
Intra-Correlation Encoding for Chinese Sentence Intention MatchingCode0
CERT: Contrastive Self-supervised Learning for Language UnderstandingCode0
Investigating the (De)Composition Capabilities of Large Language Models in Natural-to-Formal Language ConversionCode0
Accelerated Large Batch Optimization of BERT Pretraining in 54 minutesCode0
Intent Features for Rich Natural Language UnderstandingCode0
Is the Understanding of Explicit Discourse Relations Required in Machine Reading Comprehension?Code0
Joint Semantic Analysis with Document-Level Cross-Task Coherence RewardsCode0
INSET: Sentence Infilling with INter-SEntential TransformerCode0
A Language for Function Signature RepresentationsCode0
Instance Regularization for Discriminative Language Model Pre-trainingCode0
Causal Graphs Meet Thoughts: Enhancing Complex Reasoning in Graph-Augmented LLMsCode0
AROMA: Autonomous Rank-one Matrix AdaptationCode0
Integrating Task Specific Information into Pretrained Language Models for Low Resource Fine TuningCode0
Injecting Domain-Specific Knowledge into Large Language Models: A Comprehensive SurveyCode0
Intent Detection and Entity Extraction from BioMedical LiteratureCode0
Cascaded LSTMs based Deep Reinforcement Learning for Goal-driven DialogueCode0
Are Visual-Linguistic Models Commonsense Knowledge Bases?Code0
A Case Study of Cross-Lingual Zero-Shot Generalization for Classical Languages in LLMsCode0
Incorporating Graph Attention Mechanism into Geometric Problem Solving Based on Deep Reinforcement LearningCode0
Can you map it to English? The Role of Cross-Lingual Alignment in Multilingual Performance of LLMsCode0
Improving the Efficiency of Visually Augmented Language ModelsCode0
Improving Tokenisation by Alternative Treatment of SpacesCode0
Joint Slot Filling and Intent Detection via Capsule Neural NetworksCode0
Leveraging Large Language Models for Scalable Vector Graphics-Driven Image UnderstandingCode0
Can Machines Read Coding Manuals Yet? -- A Benchmark for Building Better Language Models for Code UnderstandingCode0
Improving Dialectal Slot and Intent Detection with Auxiliary Tasks: A Multi-Dialectal Bavarian Case StudyCode0
Implicit Differentiable Outlier Detection Enable Robust Deep Multimodal AnalysisCode0
Imitation of Life: A Search Engine for Biologically Inspired DesignCode0
Improving Bias Mitigation through Bias Experts in Natural Language UnderstandingCode0
Improving Grounded Natural Language Understanding through Human-Robot DialogCode0
Can Large Language Models Capture Dissenting Human Voices?Code0
IEKG: A Commonsense Knowledge Graph for Idiomatic ExpressionsCode0
IGLU 2022: Interactive Grounded Language Understanding in a Collaborative Environment at NeurIPS 2022Code0
IDK-MRC: Unanswerable Questions for Indonesian Machine Reading ComprehensionCode0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1HNNAccuracy90Unverified
2BERT-large 340MAccuracy78.3Unverified
3UDSSM-II (ensemble)Accuracy78.3Unverified
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