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 1626–1650 of 1978 papers

Title	Date	Tasks	Status
Identifying Distributional Perspective Differences from Colingual Groups	Apr 10, 2020	Natural Language Understanding	CodeCode Available
LadaBERT: Lightweight Adaptation of BERT through Hybrid Model Compression	Apr 8, 2020	BlockingKnowledge Distillation	—Unverified
CG-BERT: Conditional Text Generation with BERT for Generalized Few-shot Intent Detection	Apr 4, 2020	Conditional Text GenerationIntent Detection	—Unverified
Benchmarking Machine Reading Comprehension: A Psychological Perspective	Apr 4, 2020	BenchmarkingMachine Reading Comprehension	—Unverified
Prior Knowledge Driven Label Embedding for Slot Filling in Natural Language Understanding	Mar 22, 2020	Domain AdaptationNatural Language Understanding	—Unverified
Temporal Embeddings and Transformer Models for Narrative Text Understanding	Mar 19, 2020	ClusteringDe-aliasing	—Unverified
Ecological Semantics: Programming Environments for Situated Language Understanding	Mar 10, 2020	Common Sense ReasoningGrounded language learning	—Unverified
Convo: What does conversational programming need? An exploration of machine learning interface design	Mar 3, 2020	BIG-bench Machine LearningGoal-Oriented Dialog	—Unverified
Bridging the Gap between Spatial and Spectral Domains: A Survey on Graph Neural Networks	Feb 27, 2020	Deep Learningimage-classification	—Unverified
Multi-task Learning with Multi-head Attention for Multi-choice Reading Comprehension	Feb 26, 2020	Machine Reading ComprehensionMultiple-choice	—Unverified
The Microsoft Toolkit of Multi-Task Deep Neural Networks for Natural Language Understanding	Feb 19, 2020	Knowledge DistillationMulti-Task Learning	—Unverified
Stress Test Evaluation of Transformer-based Models in Natural Language Understanding Tasks	Feb 14, 2020	Natural Language InferenceNatural Language Understanding	—Unverified
Learning to Compare for Better Training and Evaluation of Open Domain Natural Language Generation Models	Feb 12, 2020	Natural Language UnderstandingResponse Generation	—Unverified
Fine-Tuning BERT for Schema-Guided Zero-Shot Dialogue State Tracking	Feb 1, 2020	Dialogue State TrackingNatural Language Understanding	—Unverified
Detecting Emotion Primitives from Speech and their use in discerning Categorical Emotions	Jan 31, 2020	Natural Language Understandingspeech-recognition	—Unverified
On the Importance of Word Order Information in Cross-lingual Sequence Labeling	Jan 30, 2020	named-entity-recognitionNamed Entity Recognition	—Unverified
Dual Convolutional LSTM Network for Referring Image Segmentation	Jan 30, 2020	DecoderImage Segmentation	—Unverified
Generation-Distillation for Efficient Natural Language Understanding in Low-Data Settings	Jan 25, 2020	General ClassificationKnowledge Distillation	—Unverified
User-in-the-loop Adaptive Intent Detection for Instructable Digital Assistant	Jan 16, 2020	Intent DetectionNatural Language Understanding	CodeCode Available
Exploring and Improving Robustness of Multi Task Deep Neural Networks via Domain Agnostic Defenses	Jan 11, 2020	Natural Language Understanding	CodeCode Available
Improving Spoken Language Understanding By Exploiting ASR N-best Hypotheses	Jan 11, 2020	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
The Effect of Data Ordering in Image Classification	Jan 8, 2020	ClassificationGeneral Classification	—Unverified
Pseudo-Masked Language Models for Unified Language Model Pre-Training	Jan 1, 2020	DecoderLanguage Modeling	—Unverified
ORB: An Open Reading Benchmark for Comprehensive Evaluation of Machine Reading Comprehension	Dec 29, 2019	Entity TypingMachine Reading Comprehension	—Unverified
Unity in Diversity: Learning Distributed Heterogeneous Sentence Representation for Extractive Summarization	Dec 25, 2019	DiversityExtractive Summarization	—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