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 901–925 of 1978 papers

Title	Date	Tasks	Status
Automatic Data Expansion for Customer-care Spoken Language Understanding	Sep 27, 2018	Language ModellingNatural Language Understanding	—Unverified
Improving Event Temporal Relation Classification via Auxiliary Label-Aware Contrastive Learning	Oct 1, 2022	Contrastive LearningData Augmentation	—Unverified
Can Language Representation Models Think in Bets?	Oct 14, 2022	Decision MakingNatural Language Understanding	—Unverified
An Efficient DP-SGD Mechanism for Large Scale NLP Models	Jul 14, 2021	GPUNatural Language Understanding	—Unverified
Are the Tools up to the Task? an Evaluation of Commercial Dialog Tools in Developing Conversational Enterprise-grade Dialog Systems	Jun 1, 2019	Natural Language UnderstandingText Generation	—Unverified
Improving Multimodal Large Language Models Using Continual Learning	Oct 25, 2024	Continual LearningNatural Language Understanding	—Unverified
End-to-End Spoken Language Understanding: Performance analyses of a voice command task in a low resource setting	Jul 17, 2022	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
Improving Natural Language Understanding by Reverse Mapping Bytepair Encoding	Nov 1, 2019	Natural Language UnderstandingRTE	—Unverified
CRUISE: Cold-Start New Skill Development via Iterative Utterance Generation	Jul 1, 2018	Natural Language Understanding	—Unverified
Crowd-sourcing annotation of complex NLU tasks: A case study of argumentative content annotation	Nov 1, 2019	Natural Language UnderstandingReading Comprehension	—Unverified
Improving Romanian BioNER Using a Biologically Inspired System	May 1, 2022	named-entity-recognitionNamed Entity Recognition	—Unverified
Improving Small-Scale Large Language Models Function Calling for Reasoning Tasks	Oct 24, 2024	Logical ReasoningMathematical Problem-Solving	—Unverified
On joint training with interfaces for spoken language understanding	Jun 30, 2021	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
Improving Spoken Language Understanding By Exploiting ASR N-best Hypotheses	Jan 11, 2020	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
Improving the Inference of Implicit Discourse Relations via Classifying Explicit Discourse Connectives	May 1, 2015	Discourse ParsingNatural Language Understanding	—Unverified
Improving the Language Understanding Capabilities of Large Language Models Using Reinforcement Learning	Oct 14, 2024	Natural Language UnderstandingText Generation	—Unverified
End-to-End Self-Debiasing Framework for Robust NLU Training	Sep 5, 2021	Natural Language Understanding	—Unverified
Improving Tokenisation by Alternative Treatment of Spaces	Dec 17, 2021	Natural Language Understanding	—Unverified
Canary Extraction in Natural Language Understanding Models	Mar 25, 2022	Natural Language Understanding	—Unverified
A Hybrid Neuro-Symbolic approach for Text-Based Games using Inductive Logic Programming	Nov 21, 2021	Inductive logic programmingNatural Language Understanding	—Unverified
End-to-End Natural Language Understanding Pipeline for Bangla Conversational Agents	Jul 12, 2021	BIG-bench Machine LearningChatbot	—Unverified
Can a Gorilla Ride a Camel? Learning Semantic Plausibility from Text	Nov 13, 2019	Natural Language Understanding	—Unverified
Incorporating Explicit Knowledge in Pre-trained Language Models for Passage Re-ranking	Apr 25, 2022	Graph Neural NetworkNatural Language Understanding	—Unverified
Curriculum: A Broad-Coverage Benchmark for Linguistic Phenomena in Natural Language Understanding	Apr 13, 2022	Language ModelingLanguage Modelling	—Unverified
Is Language Modeling Enough? Evaluating Effective Embedding Combinations	May 1, 2020	Entity DisambiguationGeneral Classification	—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