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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

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Showing 1701–1750 of 1978 papers

TitleStatusHype
STIL - Simultaneous Slot Filling, Translation, Intent Classification, and Language Identification: Initial Results using mBART on MultiATIS++Code0
Do prompt positions really matter?Code0
Data Selection for Fine-tuning Large Language Models Using Transferred Shapley ValuesCode0
Learning to Generalize for Sequential Decision MakingCode0
Learning to Merge Tokens in Vision TransformersCode0
Prompt Tuning Strikes Back: Customizing Foundation Models with Low-Rank Prompt AdaptationCode0
Unified Language Model Pre-training for Natural Language Understanding and GenerationCode0
HeGeL: A Novel Dataset for Geo-Location from Hebrew TextCode0
PROPRES: Investigating the Projectivity of Presupposition with Various Triggers and EnvironmentsCode0
Grounding learning of modifier dynamics: An application to color namingCode0
Learning to translate by learning to communicateCode0
GPT-Neo for commonsense reasoning -- a theoretical and practical lensCode0
Prot2Chat: Protein LLM with Early-Fusion of Text, Sequence and StructureCode0
StoryAnalogy: Deriving Story-level Analogies from Large Language Models to Unlock Analogical UnderstandingCode0
Leveraging Affirmative Interpretations from Negation Improves Natural Language UnderstandingCode0
ProVe -- Self-supervised pipeline for automated product replacement and cold-starting based on neural language modelsCode0
Leveraging Grammar Induction for Language Understanding and GenerationCode0
Leveraging Large Language Models for Scalable Vector Graphics-Driven Image UnderstandingCode0
Pruning Pre-trained Language Models with Principled Importance and Self-regularizationCode0
Goal-Oriented Script ConstructionCode0
Are Visual-Linguistic Models Commonsense Knowledge Bases?Code0
Towards Democratized Flood Risk Management: An Advanced AI Assistant Enabled by GPT-4 for Enhanced Interpretability and Public EngagementCode0
Towards end-to-end spoken language understandingCode0
GlyphPattern: An Abstract Pattern Recognition for Vision-Language ModelsCode0
Gendered Pronoun Resolution using BERT and an extractive question answering formulationCode0
Punctuation Restoration Improves Structure Understanding Without SupervisionCode0
LICHEE: Improving Language Model Pre-training with Multi-grained TokenizationCode0
Towards Enhancing Linked Data Retrieval in Conversational UIs using Large Language ModelsCode0
ABEX: Data Augmentation for Low-Resource NLU via Expanding Abstract DescriptionsCode0
QADiscourse -- Discourse Relations as QA Pairs: Representation, Crowdsourcing and BaselinesCode0
Stress Test Evaluation for Natural Language InferenceCode0
Towards Extracting Absolute Event Timelines From English Clinical ReportsCode0
An Analysis of Negation in Natural Language Understanding CorporaCode0
Linking artificial and human neural representations of languageCode0
LinkNER: Linking Local Named Entity Recognition Models to Large Language Models using UncertaintyCode0
Listen, Attend, and Walk: Neural Mapping of Navigational Instructions to Action SequencesCode0
Structural Entropy Guided Probabilistic CodingCode0
Fully-Semantic Parsing and Generation: the BabelNet Meaning RepresentationCode0
Data-Augmentation-Based Dialectal Adaptation for LLMsCode0
Structural Pruning of Pre-trained Language Models via Neural Architecture SearchCode0
Question Directed Graph Attention Network for Numerical Reasoning over TextCode0
Question Embeddings Based on Shannon Entropy: Solving intent classification task in goal-oriented dialogue systemCode0
UniPSDA: Unsupervised Pseudo Semantic Data Augmentation for Zero-Shot Cross-Lingual Natural Language UnderstandingCode0
Cross-Model Comparative Loss for Enhancing Neuronal Utility in Language UnderstandingCode0
Visual Re-ranking with Natural Language Understanding for Text SpottingCode0
Can Large Language Models Capture Dissenting Human Voices?Code0
From Form(s) to Meaning: Probing the Semantic Depths of Language Models Using Multisense ConsistencyCode0
RAC-BERT: Character Radical Enhanced BERT for Ancient ChineseCode0
ARCH: Efficient Adversarial Regularized Training with CachingCode0
A Context-based Approach for Dialogue Act Recognition using Simple Recurrent Neural NetworksCode0
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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