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 976–1000 of 1978 papers

Title	Date	Tasks	Status	Hype
CALM: Contrastive Aligned Audio-Language Multirate and Multimodal Representations	Feb 8, 2022	Emotion RecognitionNatural Language Understanding	—Unverified	0
Learnings from Federated Learning in the Real world	Feb 8, 2022	Federated LearningNatural Language Understanding	—Unverified	0
data2vec: A General Framework for Self-supervised Learning in Speech, Vision and Language	Feb 7, 2022	image-classificationImage Classification	CodeCode Available	1
No Parameters Left Behind: Sensitivity Guided Adaptive Learning Rate for Training Large Transformer Models	Feb 6, 2022	image-classificationImage Classification	CodeCode Available	1
RescoreBERT: Discriminative Speech Recognition Rescoring with BERT	Feb 2, 2022	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified	0
Examining Scaling and Transfer of Language Model Architectures for Machine Translation	Feb 1, 2022	DecoderLanguage Modeling	—Unverified	0
When Do Flat Minima Optimizers Work?	Feb 1, 2022	BenchmarkingGraph Learning	CodeCode Available	1
Cross-Lingual Dialogue Dataset Creation via Outline-Based Generation	Jan 31, 2022	Dialogue State TrackingEnd-To-End Dialogue Modelling	—Unverified	0
ScaLA: Accelerating Adaptation of Pre-Trained Transformer-Based Language Models via Efficient Large-Batch Adversarial Noise	Jan 29, 2022	Natural Language Understanding	—Unverified	0
Pair-Level Supervised Contrastive Learning for Natural Language Inference	Jan 26, 2022	Contrastive LearningNatural Language Inference	—Unverified	0
Convex Polytope Modelling for Unsupervised Derivation of Semantic Structure for Data-efficient Natural Language Understanding	Jan 25, 2022	Natural Language Understanding	—Unverified	0
Language Generation for Broad-Coverage, Explainable Cognitive Systems	Jan 25, 2022	Natural Language UnderstandingText Generation	—Unverified	0
Revisiting the Roles of “Text” in Text Games	Jan 16, 2022	Natural Language UnderstandingPassage Retrieval	—Unverified	0
AraBART: a Pretrained Arabic Sequence-to-Sequence Model for Abstractive Summarization	Jan 16, 2022	Abstractive Text SummarizationDecoder	—Unverified	0
Curriculum: A Broad-Coverage Benchmark for Linguistic Phenomena in Natural Language Understanding	Jan 16, 2022	Language ModelingLanguage Modelling	—Unverified	0
Event Linking: Grounding Event Mentions to Wikipedia	Jan 16, 2022	Natural Language Understanding	—Unverified	0
RGL: A Simple yet Effective Relation Graph Augmented Prompt-based Tuning Approach for Few-Shot Learning	Jan 16, 2022	Few-Shot LearningLink Prediction	CodeCode Available	0
Imagination-Augmented Natural Language Understanding	Jan 16, 2022	Natural Language Understanding	—Unverified	0
A Transformer-based Threshold-Free Framework for Multi-Intent NLU	Jan 16, 2022	Multi-Task LearningNatural Language Understanding	—Unverified	0
Causal Distillation for Language Models	Jan 16, 2022	Language ModelingLanguage Modelling	—Unverified	0
Exploiting Topic Information for Joint Intent Detection and Slot Filling	Jan 16, 2022	Intent DetectionNatural Language Understanding	—Unverified	0
Improved and Efficient Conversational Slot Labeling through Question Answering	Jan 16, 2022	Natural Language UnderstandingQuestion Answering	—Unverified	0
Label-guided Data Augmentation for Prompt-based Few Shot Learners	Jan 16, 2022	Data AugmentationFew-Shot Learning	—Unverified	0
Learning To Retrieve Prompts for In-Context Learning	Jan 16, 2022	In-Context LearningLanguage Modeling	—Unverified	0
MoEBERT: from BERT to Mixture-of-Experts via Importance-Guided Adaptation	Jan 16, 2022	Knowledge DistillationMixture-of-Experts	—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	BERT-large 340M	Accuracy	78.3	—	Unverified
3	UDSSM-II (ensemble)	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