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 1226–1250 of 1978 papers

Title	Date	Tasks	Status	Hype
Adapting Long Context NLM for ASR Rescoring in Conversational Agents	Apr 21, 2021	intent-classificationIntent Classification	—Unverified	0
Pre-training for Spoken Language Understanding with Joint Textual and Phonetic Representation Learning	Apr 21, 2021	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified	0
Sattiy at SemEval-2021 Task 9: An Ensemble Solution for Statement Verification and Evidence Finding with Tables	Apr 21, 2021	ArticlesNatural Language Understanding	—Unverified	0
X-METRA-ADA: Cross-lingual Meta-Transfer Learning Adaptation to Natural Language Understanding and Question Answering	Apr 20, 2021	Cross-Lingual TransferMeta-Learning	CodeCode Available	1
Extracting Temporal Event Relation with Syntax-guided Graph Transformer	Apr 19, 2021	Dependency ParsingNatural Language Understanding	CodeCode Available	0
Alexa Conversations: An Extensible Data-driven Approach for Building Task-oriented Dialogue Systems	Apr 19, 2021	Dialogue State TrackingGoal-Oriented Dialogue Systems	—Unverified	0
AmericasNLI: Evaluating Zero-shot Natural Language Understanding of Pretrained Multilingual Models in Truly Low-resource Languages	Apr 18, 2021	Cross-Lingual TransferNatural Language Understanding	CodeCode Available	0
Intent Features for Rich Natural Language Understanding	Apr 18, 2021	Natural Language Understanding	CodeCode Available	0
SciCo: Hierarchical Cross-Document Coreference for Scientific Concepts	Apr 18, 2021	coreference-resolutionCoreference Resolution	CodeCode Available	1
A recipe for annotating grounded clarifications	Apr 18, 2021	Natural Language Understanding	—Unverified	0
Sequential Cross-Document Coreference Resolution	Apr 17, 2021	coreference-resolutionCoreference Resolution	—Unverified	0
On the Importance of Effectively Adapting Pretrained Language Models for Active Learning	Apr 16, 2021	Active LearningNatural Language Understanding	CodeCode Available	1
A Comparative Study on Collecting High-Quality Implicit Reasonings at a Large-scale	Apr 16, 2021	Natural Language Understanding	—Unverified	0
Effect of Visual Extensions on Natural Language Understanding in Vision-and-Language Models	Apr 16, 2021	Language ModelingLanguage Modelling	CodeCode Available	0
Lattice-BERT: Leveraging Multi-Granularity Representations in Chinese Pre-trained Language Models	Apr 15, 2021	Natural Language UnderstandingSentence	CodeCode Available	1
Empowering News Recommendation with Pre-trained Language Models	Apr 15, 2021	ArticlesNatural Language Understanding	CodeCode Available	1
Natural Language Understanding with Privacy-Preserving BERT	Apr 15, 2021	Language ModellingNatural Language Understanding	—Unverified	0
XTREME-R: Towards More Challenging and Nuanced Multilingual Evaluation	Apr 15, 2021	Cross-Lingual TransferDiagnostic	CodeCode Available	1
K-PLUG: Knowledge-injected Pre-trained Language Model for Natural Language Understanding and Generation in E-Commerce	Apr 14, 2021	DecoderKnowledge Base Completion	CodeCode Available	1
Zero-Resource Multi-Dialectal Arabic Natural Language Understanding	Apr 14, 2021	named-entity-recognitionNamed Entity Recognition	—Unverified	0
Semantic maps and metrics for science Semantic maps and metrics for science using deep transformer encoders	Apr 13, 2021	Natural Language UnderstandingNavigate	—Unverified	0
Targeted Adversarial Training for Natural Language Understanding	Apr 12, 2021	Natural Language Understanding	—Unverified	0
Few-shot Intent Classification and Slot Filling with Retrieved Examples	Apr 12, 2021	ClassificationFew-Shot Learning	—Unverified	0
Adversarial Regularization as Stackelberg Game: An Unrolled Optimization Approach	Apr 11, 2021	Machine TranslationNatural Language Understanding	CodeCode Available	1
Not All Attention Is All You Need	Apr 10, 2021	AllDocument Classification	—Unverified	0

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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