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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 1751–1800 of 1978 papers

TitleStatusHype
Atomic Inference for NLI with Generated Facts as AtomsCode0
Summarization-based Data Augmentation for Document ClassificationCode0
Logic-of-Thought: Empowering Large Language Models with Logic Programs for Solving Puzzles in Natural LanguageCode0
VL-GLUE: A Suite of Fundamental yet Challenging Visuo-Linguistic Reasoning TasksCode0
LogiQA 2.0—An Improved Dataset for Logical Reasoning in Natural Language UnderstandingCode0
FlexRound: Learnable Rounding based on Element-wise Division for Post-Training QuantizationCode0
LoLDU: Low-Rank Adaptation via Lower-Diag-Upper Decomposition for Parameter-Efficient Fine-TuningCode0
Long-Range Transformer Architectures for Document UnderstandingCode0
Call Larisa Ivanovna: Code-Switching Fools Multilingual NLU ModelsCode0
Calibration of Natural Language Understanding Models with Venn--ABERS PredictorsCode0
Bridging the Gap between Decision and Logits in Decision-based Knowledge Distillation for Pre-trained Language ModelsCode0
LoRA-GGPO: Mitigating Double Descent in LoRA Fine-Tuning via Gradient-Guided Perturbation OptimizationCode0
Evaluating Fine-Tuning Efficiency of Human-Inspired Learning Strategies in Medical Question AnsweringCode0
Fine-tuning BERT-based models for Plant Health Bulletin ClassificationCode0
AmericasNLI: Evaluating Zero-shot Natural Language Understanding of Pretrained Multilingual Models in Truly Low-resource LanguagesCode0
Supervised Knowledge Makes Large Language Models Better In-context LearnersCode0
ZoDIAC: Zoneout Dropout Injection Attention CalculationCode0
RECKONition: a NLP-based system for Industrial Accidents at Work PreventionCode0
Low-resource Bilingual Dialect Lexicon Induction with Large Language ModelsCode0
Low-Resource Language Modelling of South African LanguagesCode0
Accelerating Natural Language Understanding in Task-Oriented DialogCode0
FedQAS: Privacy-aware machine reading comprehension with federated learningCode0
Feature-Level Debiased Natural Language UnderstandingCode0
Recurrent Neural Network-Based Sentence Encoder with Gated Attention for Natural Language InferenceCode0
Towards preserving word order importance through Forced InvalidationCode0
Swift Cross-Dataset Pruning: Enhancing Fine-Tuning Efficiency in Natural Language UnderstandingCode0
Cross-Lingual Training for Automatic Question GenerationCode0
MACT: Model-Agnostic Cross-Lingual Training for Discourse Representation Structure ParsingCode0
Breakpoint Transformers for Modeling and Tracking Intermediate BeliefsCode0
Fast Few-shot Debugging for NLU Test SuitesCode0
Extracting Temporal Event Relation with Syntax-guided Graph TransformerCode0
ExPUNations: Augmenting Puns with Keywords and ExplanationsCode0
Ambiguity Meets Uncertainty: Investigating Uncertainty Estimation for Word Sense DisambiguationCode0
Cross-Lingual Representation Alignment Through Contrastive Image-Caption TuningCode0
Symmetric Regularization based BERT for Pair-wise Semantic ReasoningCode0
Towards Target-dependent Sentiment Classification in News ArticlesCode0
SynGhost: Invisible and Universal Task-agnostic Backdoor Attack via Syntactic TransferCode0
Exploring Transitivity in Neural NLI Models through VeridicalityCode0
Structural Persistence in Language Models: Priming as a Window into Abstract Language RepresentationsCode0
Aligning Multilingual Embeddings for Improved Code-switched Natural Language UnderstandingCode0
BA-LoRA: Bias-Alleviating Low-Rank Adaptation to Mitigate Catastrophic Inheritance in Large Language ModelsCode0
Exploring the Limits of Natural Language Inference Based Setup for Few-Shot Intent DetectionCode0
Exploring and Improving Robustness of Multi Task Deep Neural Networks via Domain Agnostic DefensesCode0
EXPLORER: Exploration-guided Reasoning for Textual Reinforcement LearningCode0
A Puzzle-Based Dataset for Natural Language InferenceCode0
Explaining (Sarcastic) Utterances to Enhance Affect Understanding in Multimodal DialoguesCode0
Resolving Gendered Ambiguous Pronouns with BERTCode0
Explaining Interactions Between Text SpansCode0
Exophoric Pronoun Resolution in Dialogues with Topic RegularizationCode0
Cross-lingual Language Model PretrainingCode0
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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