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
Only One Relation Possible? Modeling the Ambiguity in Event Temporal Relation Extraction	Aug 14, 2024	Multi-Label ClassificationMUlTI-LABEL-ClASSIFICATION	—Unverified
On the Calibration of Pre-trained Language Models using Mixup Guided by Area Under the Margin and Saliency	Mar 14, 2022	Data Augmentationimage-classification	—Unverified
On the cross-lingual transferability of multilingual prototypical models across NLU tasks	Jul 19, 2022	Few-Shot LearningMeta-Learning	—Unverified
On the Importance of Attention in Meta-Learning for Few-Shot Text Classification	Jun 3, 2018	ClassificationFew-Shot Text Classification	—Unverified
On the Limits of Learning to Actively Learn Semantic Representations	Oct 5, 2019	Learning Semantic RepresentationsNatural Language Understanding	—Unverified
On the N-gram Approximation of Pre-trained Language Models	Jun 12, 2023	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
On the Role of Corpus Ordering in Language Modeling	Nov 1, 2021	Language AcquisitionLanguage Modeling	—Unverified
On the Winograd Schema: Situating Language Understanding in the Data-Information-Knowledge Continuum	Sep 30, 2018	Natural Language Understanding	—Unverified
Ontology-based question answering over corporate structured data	Nov 8, 2021	Natural Language UnderstandingQuestion Answering	—Unverified
Ontology Population using LLMs	Nov 3, 2024	Data IntegrationKnowledge Graphs	—Unverified
OntoType: Ontology-Guided and Pre-Trained Language Model Assisted Fine-Grained Entity Typing	May 21, 2023	Entity TypingLanguage Modeling	—Unverified
Optimizing NLU Reranking Using Entity Resolution Signals in Multi-domain Dialog Systems	Jun 1, 2021	Entity Resolutionintent-classification	—Unverified
ORB: An Open Reading Benchmark for Comprehensive Evaluation of Machine Reading Comprehension	Dec 29, 2019	Entity TypingMachine Reading Comprehension	—Unverified
Out of Order: How Important Is The Sequential Order of Words in a Sentence in Natural Language Understanding Tasks?	Dec 30, 2020	Natural Language InferenceNatural Language Understanding	—Unverified
Overcoming Poor Word Embeddings with Word Definitions	Mar 5, 2021	Natural Language InferenceNatural Language Understanding	—Unverified
PAFFA: Premeditated Actions For Fast Agents	Dec 10, 2024	Natural Language Understanding	—Unverified
Painter: Teaching Auto-regressive Language Models to Draw Sketches	Aug 16, 2023	Image GenerationNatural Language Understanding	—Unverified
Pair-Level Supervised Contrastive Learning for Natural Language Inference	Jan 26, 2022	Contrastive LearningNatural Language Inference	—Unverified
PALM: Pre-training an Autoencoding\&Autoregressive Language Model for Context-conditioned Generation	Nov 1, 2020	Abstractive Text SummarizationConversational Response Generation	—Unverified
PanGu-Σ: Towards Trillion Parameter Language Model with Sparse Heterogeneous Computing	Mar 20, 2023	Code GenerationLanguage Modeling	—Unverified
PAPI: Exploiting Dynamic Parallelism in Large Language Model Decoding with a Processing-In-Memory-Enabled Computing System	Feb 21, 2025	Language ModelingLanguage Modelling	—Unverified
ParaNMT-50M: Pushing the Limits of Paraphrastic Sentence Embeddings with Millions of Machine Translations	Nov 15, 2017	Machine TranslationNatural Language Understanding	—Unverified
Paraphrase Generation for Semi-Supervised Learning in NLU	Jun 1, 2019	Natural Language UnderstandingParaphrase Generation	—Unverified
Paraphrasing in Affirmative Terms Improves Negation Understanding	Jun 11, 2024	Natural Language InferenceNatural Language Understanding	—Unverified
ParaZh-22M: A Large-Scale Chinese Parabank via Machine Translation	Oct 1, 2022	Data AugmentationMachine Translation	—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