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 Added Most Hyped Most Active Needs Verification Most Verified

Showing 526–550 of 1978 papers

Title	Date	Tasks	Status
ENIGMA-51: Towards a Fine-Grained Understanding of Human-Object Interactions in Industrial Scenarios	Sep 26, 2023	Action DetectionHuman-Object Interaction Detection	—Unverified
Continuous Model Improvement for Language Understanding with Machine Translation	Jun 1, 2021	Machine TranslationNatural Language Understanding	—Unverified
Continuous Learning for Large-scale Personalized Domain Classification	May 2, 2019	ClassificationContinual Learning	—Unverified
Continuation KD: Improved Knowledge Distillation through the Lens of Continuation Optimization	Dec 12, 2022	Knowledge DistillationNatural Language Understanding	—Unverified
A Transformer-based Threshold-Free Framework for Multi-Intent NLU	Jan 16, 2022	Multi-Task LearningNatural Language Understanding	—Unverified
A Multitask Active Learning Framework for Natural Language Understanding	Dec 1, 2020	Active LearningNatural Language Understanding	—Unverified
Enriched Pre-trained Transformers for Joint Slot Filling and Intent Detection	Apr 30, 2020	Intent DetectionNatural Language Understanding	—Unverified
Ensemble Chinese End-to-End Spoken Language Understanding for Abnormal Event Detection from audio stream	Oct 19, 2020	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
Error Detection in Large-Scale Natural Language Understanding Systems Using Transformer Models	Sep 4, 2021	domain classificationnamed-entity-recognition	—Unverified
Continual Learning for Encoder-only Language Models via a Discrete Key-Value Bottleneck	Dec 11, 2024	Continual LearningNatural Language Understanding	—Unverified
A Multimodal Corpus of Rapid Dialogue Games	May 1, 2014	Dialogue ManagementManagement	—Unverified
Enhancing Performance on Seen and Unseen Dialogue Scenarios using Retrieval-Augmented End-to-End Task-Oriented System	Aug 16, 2023	Natural Language UnderstandingRetrieval	—Unverified
Contextual Biasing of Language Models for Speech Recognition in Goal-Oriented Conversational Agents	Mar 18, 2021	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
A Dataset of General-Purpose Rebuttal	Sep 1, 2019	Natural Language UnderstandingResponse Generation	—Unverified
Enhancing Self-Attention with Knowledge-Assisted Attention Maps	Jul 1, 2022	Multi-Task LearningNatural Language Understanding	—Unverified
A Multi-level Supervised Contrastive Learning Framework for Low-Resource Natural Language Inference	May 31, 2022	Contrastive LearningData Augmentation	—Unverified
Consolidating Commonsense Knowledge	Jun 10, 2020	Common Sense ReasoningKnowledge Graphs	—Unverified
Enhancing LLM with Evolutionary Fine Tuning for News Summary Generation	Jul 6, 2023	Natural Language Understanding	—Unverified
Consolidating and Developing Benchmarking Datasets for the Nepali Natural Language Understanding Tasks	Nov 28, 2024	BenchmarkingNatural Language Inference	—Unverified
A Systematic Review of Deep Graph Neural Networks: Challenges, Classification, Architectures, Applications & Potential Utility in Bioinformatics	Nov 3, 2023	Graph Neural NetworkNatural Language Understanding	—Unverified
Addition is All You Need for Energy-efficient Language Models	Oct 1, 2024	AllNatural Language Understanding	—Unverified
Enhancing Natural Language Understanding through Cross-Modal Interaction: Meaning Recovery from Acoustically Noisy Speech	Sep 1, 2019	Natural Language UnderstandingSentence	—Unverified
Enhancing Semantic Understanding with Self-supervised Methods for Abstractive Dialogue Summarization	Sep 1, 2022	Abstractive Dialogue SummarizationAbstractive Text Summarization	—Unverified
Conscious Intelligence Requires Lifelong Autonomous Programming For General Purposes	Jun 30, 2020	Natural Language Understanding	—Unverified
A Survey on Temporal Reasoning for Temporal Information Extraction from Text (Extended Abstract)	May 13, 2020	Natural Language UnderstandingTemporal Information Extraction	—Unverified

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All datasets PDP60 STREUSLE LexGLUE DialoGLUE fewshot DialoGLUE full GLUE

Benchmark Results

#	Model	Metric	Claimed	Verified	Status
1	HNN	Accuracy	90	—	Unverified
2	UDSSM-II (ensemble)	Accuracy	78.3	—	Unverified
3	BERT-large 340M	Accuracy	78.3	—	Unverified
4	UDSSM-I (ensemble)	Accuracy	76.7	—	Unverified
5	DSSM	Accuracy	75	—	Unverified
6	UDSSM-II	Accuracy	75	—	Unverified
7	BERT-base 110M + MAS	Accuracy	68.3	—	Unverified
8	USSM + Supervised Deepnet + 3 Knowledge Bases	Accuracy	66.7	—	Unverified
9	Word-level CNN+LSTM (full scoring)	Accuracy	60	—	Unverified
10	Subword-level Transformer LM	Accuracy	58.3	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	BERT (pred POS/lemmas)	Tags (Full) Acc	82.5	—	Unverified
2	BERT (none)	Tags (Full) Acc	82	—	Unverified
3	BERT (gold POS/lemmas)	Tags (Full) Acc	81	—	Unverified
4	GloVe (gold POS/lemmas)	Tags (Full) Acc	79.3	—	Unverified
5	RoBERTa + Linear	Full F1 (Preps)	78.2	—	Unverified
6	GloVe (none)	Tags (Full) Acc	77.5	—	Unverified
7	GloVe (pred POS/lemmas)	Tags (Full) Acc	77.1	—	Unverified
8	SVM (feature-rich, gold syntax)	Role F1 (Preps)	62.2	—	Unverified
9	BiLSTM + MLP (gold syntax)	Role F1 (Preps)	62.2	—	Unverified
10	SVM (feature-rich, auto syntax)	Role F1 (Preps)	58.2	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	CaseLaw-BERT	CaseHOLD	75.6	—	Unverified
2	Legal-BERT	CaseHOLD	75.1	—	Unverified
3	DeBERTa	CaseHOLD	72.1	—	Unverified
4	Longformer	CaseHOLD	72	—	Unverified
5	RoBERTa	CaseHOLD	71.7	—	Unverified
6	BERT	CaseHOLD	70.7	—	Unverified
7	BigBird	CaseHOLD	70.4	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	ConvBERT-DG	Average	74.6	—	Unverified
2	ConvBERT-DG + Pre + Multi	Average	73.8	—	Unverified
3	mslm	Average	73.49	—	Unverified
4	ConvBERT + Pre + Multi	Average	68.22	—	Unverified
5	BanLanGen	Average	39.16	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	ConvBERT + Pre + Multi	Average	86.89	—	Unverified
2	mslm	Average	85.83	—	Unverified
3	ConvBERT-DG + Pre + Multi	Average	85.34	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	MT-DNN-SMART	Average	89.9	—	Unverified
2	BERT-LARGE	Average	82.1	—	Unverified