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 676–700 of 1978 papers

Title	Date	Tasks	Status
Evaluating User Perception of Speech Recognition System Quality with Semantic Distance Metric	Oct 11, 2021	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
Evaluation Metrics for Machine Reading Comprehension: Prerequisite Skills and Readability	Jul 1, 2017	Coreference ResolutionMachine Reading Comprehension	—Unverified
From Beginner to Expert: Modeling Medical Knowledge into General LLMs	Dec 2, 2023	Language ModellingLarge Language Model	—Unverified
Error Detection in Large-Scale Natural Language Understanding Systems Using Transformer Models	Sep 4, 2021	domain classificationnamed-entity-recognition	—Unverified
Evaluation of large language models using an Indian language LGBTI+ lexicon	Oct 26, 2023	Machine TranslationMMLU	—Unverified
Evaluation of the KomParse Conversational Non-Player Characters in a Commercial Virtual World	May 1, 2012	Natural Language UnderstandingQuestion Answering	—Unverified
EventBERT	Nov 16, 2021	Natural Language Understanding	—Unverified
Causal Distillation for Language Models	Jan 16, 2022	Language ModelingLanguage Modelling	—Unverified
Event Extraction: A Survey	Oct 7, 2022	Event DetectionEvent Extraction	—Unverified
Chatbot: A Conversational Agent employed with Named Entity Recognition Model using Artificial Neural Network	Jun 19, 2020	ChatbotInformation Retrieval	—Unverified
Event Linking: Grounding Event Mentions to Wikipedia	Jan 16, 2022	Natural Language Understanding	—Unverified
Argument Mining: A Survey	Dec 1, 2019	Argument MiningNatural Language Understanding	—Unverified
Catastrophic Forgetting in LLMs: A Comparative Analysis Across Language Tasks	Apr 1, 2025	CoLAContinual Learning	—Unverified
CASSANDRA: A multipurpose configurable voice-enabled human-computer-interface	Apr 1, 2017	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
Entity resolution for noisy ASR transcripts	Nov 1, 2019	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
Evolving Neural Selection with Adaptive Regularization	Apr 4, 2022	Natural Language Understanding	—Unverified
Privately Fine-Tuning Large Language Models with Differential Privacy	Oct 26, 2022	Natural Language Understanding	—Unverified
Argument Linking: A Survey and Forecast	Jul 18, 2021	Natural Language UnderstandingSemantic Role Labeling	—Unverified
Examining Scaling and Transfer of Language Model Architectures for Machine Translation	Feb 1, 2022	DecoderLanguage Modeling	—Unverified
FrameNet-like Annotation of Olfactory Information in Texts	Nov 1, 2021	Natural Language Understanding	—Unverified
From Characters to Words: Hierarchical Pre-trained Language Model for Open-vocabulary Language Understanding	May 23, 2023	Language ModelingLanguage Modelling	—Unverified
Entity Context Graph: Learning Entity Representations fromSemi-Structured Textual Sources on the Web	Mar 29, 2021	Entity EmbeddingsGraph Learning	—Unverified
Experimental Evaluation of Machine Learning Models for Goal-oriented Customer Service Chatbot with Pipeline Architecture	Sep 27, 2024	ChatbotDialogue Management	—Unverified
Entity Aware Syntax Tree Based Data Augmentation for Natural Language Understanding	Sep 6, 2022	Data AugmentationIntent Detection	—Unverified
Towards Answering Open-ended Ethical Quandary Questions	May 12, 2022	Few-Shot LearningGenerative Question Answering	—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