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 1176–1200 of 1978 papers

Title	Date	Tasks	Status	Hype
CLINE: Contrastive Learning with Semantic Negative Examples for Natural Language Understanding	Jul 1, 2021	Contrastive LearningNatural Language Understanding	CodeCode Available	1
Scientia Potentia Est -- On the Role of Knowledge in Computational Argumentation	Jul 1, 2021	Common Sense ReasoningNatural Language Understanding	—Unverified	0
On joint training with interfaces for spoken language understanding	Jun 30, 2021	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified	0
Rethinking End-to-End Evaluation of Decomposable Tasks: A Case Study on Spoken Language Understanding	Jun 29, 2021	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified	0
DeltaLM: Encoder-Decoder Pre-training for Language Generation and Translation by Augmenting Pretrained Multilingual Encoders	Jun 25, 2021	Abstractive Text SummarizationDecoder	CodeCode Available	0
Building Intelligent Autonomous Navigation Agents	Jun 25, 2021	Autonomous NavigationDecision Making	—Unverified	0
Latency-Aware Neural Architecture Search with Multi-Objective Bayesian Optimization	Jun 22, 2021	Bayesian OptimizationNatural Language Understanding	—Unverified	0
Efficient Deep Learning: A Survey on Making Deep Learning Models Smaller, Faster, and Better	Jun 16, 2021	Deep LearningInformation Retrieval	CodeCode Available	1
Mitigating Biases in Toxic Language Detection through Invariant Rationalization	Jun 14, 2021	Natural Language Understanding	CodeCode Available	0
Target Model Agnostic Adversarial Attacks with Query Budgets on Language Understanding Models	Jun 13, 2021	Adversarial AttackNatural Language Understanding	—Unverified	0
CONDA: a CONtextual Dual-Annotated dataset for in-game toxicity understanding and detection	Jun 11, 2021	Dota 2intent-classification	—Unverified	0
Programming Puzzles	Jun 10, 2021	Code GenerationNatural Language Understanding	CodeCode Available	1
Text-to-SQL in the Wild: A Naturally-Occurring Dataset Based on Stack Exchange Data	Jun 9, 2021	Natural Language UnderstandingSemantic Parsing	CodeCode Available	1
Learning Multilingual Representation for Natural Language Understanding with Enhanced Cross-Lingual Supervision	Jun 9, 2021	Natural Language Understanding	—Unverified	0
Relative Importance in Sentence Processing	Jun 7, 2021	Natural Language UnderstandingSentence	CodeCode Available	1
Learning Slice-Aware Representations with Mixture of Attentions	Jun 4, 2021	Natural Language Understanding	—Unverified	0
SOCCER: An Information-Sparse Discourse State Tracking Collection in the Sports Commentary Domain	Jun 3, 2021	Natural Language UnderstandingSentence	—Unverified	0
Builder, we have done it: Evaluating & Extending Dialogue-AMR NLU Pipeline for Two Collaborative Domains	Jun 1, 2021	Abstract Meaning RepresentationAMR Parsing	—Unverified	0
Combining Weakly Supervised ML Techniques for Low-Resource NLU	Jun 1, 2021	Continual LearningData Augmentation	—Unverified	0
Optimizing NLU Reranking Using Entity Resolution Signals in Multi-domain Dialog Systems	Jun 1, 2021	Entity Resolutionintent-classification	—Unverified	0
Identifying and Resolving Annotation Changes for Natural Language Understanding	Jun 1, 2021	Natural Language UnderstandingStructured Prediction	—Unverified	0
Continuous Model Improvement for Language Understanding with Machine Translation	Jun 1, 2021	Machine TranslationNatural Language Understanding	—Unverified	0
Event Time Extraction and Propagation via Graph Attention Networks	Jun 1, 2021	Graph AttentionNatural Language Understanding	CodeCode Available	1
Nora: The Well-Being Coach	Jun 1, 2021	Natural Language Understanding	—Unverified	0
What Ingredients Make for an Effective Crowdsourcing Protocol for Difficult NLU Data Collection Tasks?	Jun 1, 2021	Multiple-choiceNatural Language Understanding	CodeCode Available	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	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