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 1026–1050 of 1978 papers

Title	Date	Tasks	Status
TexSmart: A System for Enhanced Natural Language Understanding	Aug 1, 2021	named-entity-recognitionNamed Entity Recognition	—Unverified
TextGraphs-16 Natural Language Premise Selection Task: Zero-Shot Premise Selection with Prompting Generative Language Models	Oct 1, 2022	Automated Theorem ProvingInformation Retrieval	—Unverified
Text Is Not All You Need: Multimodal Prompting Helps LLMs Understand Humor	Dec 1, 2024	AllNatural Language Understanding	—Unverified
GeoHard: Towards Measuring Class-wise Hardness through Modelling Class Semantics	Jul 17, 2024	Natural Language Understanding	—Unverified
Textual Entailment Recognition with Semantic Features from Empirical Text Representation	Oct 18, 2022	Natural Language InferenceNatural Language Understanding	—Unverified
Textual Inference and Meaning Representation in Human Robot Interaction	Nov 1, 2013	Abstract Meaning RepresentationNatural Language Understanding	—Unverified
The Dark Side of Human Feedback: Poisoning Large Language Models via User Inputs	Sep 1, 2024	Language ModellingNatural Language Understanding	—Unverified
The Dark Side of the Language: Pre-trained Transformers in the DarkNet	Nov 16, 2021	Natural Language Understanding	—Unverified
The Dark Side of the Language: Pre-trained Transformers in the DarkNet	Jan 14, 2022	Domain AdaptationLanguage Modeling	—Unverified
The Deep Learning Revolution and Its Implications for Computer Architecture and Chip Design	Nov 13, 2019	BIG-bench Machine LearningNatural Language Understanding	—Unverified
The Effectiveness of Intermediate-Task Training for Code-Switched Natural Language Understanding	Jul 21, 2021	Language ModellingNatural Language Inference	—Unverified
The Effect of Data Ordering in Image Classification	Jan 8, 2020	ClassificationGeneral Classification	—Unverified
The Impacts of Unanswerable Questions on the Robustness of Machine Reading Comprehension Models	Jan 31, 2023	Adversarial AttackMachine Reading Comprehension	—Unverified
The Inductive Bias of In-Context Learning: Rethinking Pretraining Example Design	Oct 9, 2021	ChunkingIn-Context Learning	—Unverified
The Limits of ChatGPT in Extracting Aspect-Category-Opinion-Sentiment Quadruples: A Comparative Analysis	Oct 10, 2023	Aspect-Based Sentiment AnalysisIn-Context Learning	—Unverified
The Massively Multilingual Natural Language Understanding 2022 (MMNLU-22) Workshop and Competition	Dec 13, 2022	intent-classificationIntent Classification	—Unverified
The Microsoft Toolkit of Multi-Task Deep Neural Networks for Natural Language Understanding	Feb 19, 2020	Knowledge DistillationMulti-Task Learning	—Unverified
The Negochat Corpus of Human-agent Negotiation Dialogues	May 1, 2016	Natural Language Understanding	—Unverified
The NLP Cookbook: Modern Recipes for Transformer based Deep Learning Architectures	Mar 23, 2021	Information RetrievalKnowledge Distillation	—Unverified
The Singleton Fallacy: Why Current Critiques of Language Models Miss the Point	Feb 8, 2021	Natural Language UnderstandingPosition	—Unverified
The state-of-the-art in web-scale semantic information processing for cloud computing	May 18, 2013	Cloud ComputingNatural Language Understanding	—Unverified
The Twins Corpus of Museum Visitor Questions	May 1, 2012	Dialogue ManagementNatural Language Understanding	—Unverified
The Unreasonable Effectiveness of the Baseline: Discussing SVMs in Legal Text Classification	Sep 15, 2021	Natural Language Understandingtext-classification	—Unverified
The Unstoppable Rise of Computational Linguistics in Deep Learning	May 13, 2020	Deep LearningNatural Language Understanding	—Unverified
Things not Written in Text: Exploring Spatial Commonsense from Visual Signals	Nov 16, 2021	Image GenerationNatural 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	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