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 876–900 of 1978 papers

Title	Date	Tasks	Status
IDPG: An Instance-Dependent Prompt Generation Method	Apr 9, 2022	Language ModelingLanguage Modelling	—Unverified
A Cohesive Distillation Architecture for Neural Language Models	Jan 12, 2023	Knowledge DistillationLanguage Modeling	—Unverified
Learning to Control Latent Representations for Few-Shot Learning of Named Entities	Nov 19, 2019	Few-Shot LearningManagement	—Unverified
A Review of Meta-Reinforcement Learning for Deep Neural Networks Architecture Search	Dec 17, 2018	General ClassificationMeta Reinforcement Learning	—Unverified
I like fish, especially dolphins: Addressing Contradictions in Dialogue Modeling	Dec 24, 2020	Natural Language Understanding	—Unverified
Intent Generation for Goal-Oriented Dialogue Systems based on Schema.org Annotations	Jul 3, 2018	Goal-Oriented Dialogue SystemsNatural Language Understanding	—Unverified
Image-based Natural Language Understanding Using 2D Convolutional Neural Networks	Oct 24, 2018	ClassificationGeneral Classification	—Unverified
Intent Matching based Customer Services Chatbot with Natural Language Understanding	Jan 7, 2022	ChatbotNatural Language Understanding	—Unverified
Imagination-Augmented Natural Language Understanding	Jan 16, 2022	Natural Language Understanding	—Unverified
Enhanced Recommendation Combining Collaborative Filtering and Large Language Models	Dec 25, 2024	Collaborative FilteringDiversity	—Unverified
Creation Of A ChatBot Based On Natural Language Proccesing For Whatsapp	Oct 10, 2023	ChatbotNatural Language Understanding	—Unverified
Enhanced English Universal Dependencies: An Improved Representation for Natural Language Understanding Tasks	May 1, 2016	Implicit RelationsNatural Language Understanding	—Unverified
A Retrospective Recount of Computer Architecture Research with a Data-Driven Study of Over Four Decades of ISCA Publications	Jun 22, 2019	document understandingNatural Language Understanding	—Unverified
Improved and Efficient Conversational Slot Labeling through Question Answering	Jan 16, 2022	Natural Language UnderstandingQuestion Answering	—Unverified
Improved and Efficient Conversational Slot Labeling through Question Answering	Apr 5, 2022	Natural Language UnderstandingQuestion Answering	—Unverified
Improved intent classification based on context information using a windows-based approach	Nov 9, 2024	Classificationintent-classification	—Unverified
Improved OOD Generalization via Adversarial Training and Pre-training	May 24, 2021	image-classificationImage Classification	—Unverified
Improvements and Extensions on Metaphor Detection	Dec 7, 2020	Natural Language Understanding	—Unverified
Improving BERT with Hybrid Pooling Network and Drop Mask	Jul 14, 2023	Language ModelingLanguage Modelling	—Unverified
Engineering Safety Requirements for Autonomous Driving with Large Language Models	Mar 24, 2024	Autonomous DrivingNatural Language Understanding	—Unverified
Improving Black-box Speech Recognition using Semantic Parsing	Nov 1, 2017	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
Improving Classification-Based Natural Language Understanding with Non-Expert Annotation	Jun 1, 2014	Active LearningClassification	—Unverified
Improving Commonsense Contingent Reasoning by Pseudo-data and Its Application to the Related Tasks	Oct 1, 2022	Natural Language UnderstandingRelation	—Unverified
Energy-Based Models with Applications to Speech and Language Processing	Mar 16, 2024	Language ModelingLanguage Modelling	—Unverified
Can Language Representation Models Think in Bets?	Oct 14, 2022	Decision MakingNatural Language Understanding	—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	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