Intent Detection

Intent Detection is a task of determining the underlying purpose or goal behind a user's search query given a context. The task plays a significant role in search and recommendations. A traditional approach for intent detection implies using an intent detector model to classify user search query into predefined intent categories, given a context. One of the key challenges of the task implies identifying user intents for cold-start sessions, i.e., search sessions initiated by a non-logged-in or unrecognized user.

Source: Analyzing and Predicting Purchase Intent in E-commerce: Anonymous vs. Identified Customers

Papers

Recently Added Most Hyped Most Active Needs Verification Most Verified

Showing 51–75 of 330 papers

Title	Date	Tasks	Status	Hype	Score
A Neural Few-Shot Text Classification Reality Check	Jan 28, 2021	ClassificationFew-Shot Text Classification	CodeCode Available	1	5
HINT3: Raising the bar for Intent Detection in the Wild	Sep 29, 2020	BenchmarkingIntent Detection	CodeCode Available	1	5
Deep Smart Contract Intent Detection	Nov 19, 2022	Intent DetectionMulti-Label Classification	CodeCode Available	1	5
Intent Detection and Entity Extraction from BioMedical Literature	Apr 4, 2024	Intent Detectionnamed-entity-recognition	CodeCode Available	0	5
Integrating Text and Image: Determining Multimodal Document Intent in Instagram Posts	Apr 19, 2019	Intent Detection	CodeCode Available	0	5
Benchmarking Commercial Intent Detection Services with Practice-Driven Evaluations	Dec 7, 2020	BenchmarkingGoal-Oriented Dialog	CodeCode Available	0	5
A Novel Bi-directional Interrelated Model for Joint Intent Detection and Slot Filling	Jun 30, 2019	Intent DetectionSentence	CodeCode Available	0	5
Incorporating Instructional Prompts into a Unified Generative Framework for Joint Multiple Intent Detection and Slot Filling	Oct 1, 2022	Intent DetectionSemantic Frame Parsing	CodeCode Available	0	5
Intent Detection and Slot Filling for Home Assistants: Dataset and Analysis for Bangla and Sylheti	Oct 17, 2023	Intent Detectionslot-filling	CodeCode Available	0	5
Learning Multimodal AI Algorithms for Amplifying Limited User Input into High-dimensional Control Space	May 16, 2025	Deep Reinforcement LearningIntent Detection	CodeCode Available	0	5
A Post-processing Method for Detecting Unknown Intent of Dialogue System via Pre-trained Deep Neural Network Classifier	Mar 7, 2020	Intent DetectionNovelty Detection	CodeCode Available	0	5
Integration of Old and New Knowledge for Generalized Intent Discovery: A Consistency-driven Prototype-Prompting Framework	Jun 10, 2025	Domain AdaptationIntent Detection	CodeCode Available	0	5
A Weight-aware-based Multi-source Unsupervised Domain Adaptation Method for Human Motion Intention Recognition	Apr 19, 2024	Domain AdaptationIntent Detection	CodeCode Available	0	5
HPERL: 3D Human Pose Estimation from RGB and LiDAR	Oct 16, 2020	3D Human Pose EstimationAction Recognition	CodeCode Available	0	5
HIT-SCIR at MMNLU-22: Consistency Regularization for Multilingual Spoken Language Understanding	Jan 5, 2023	Data AugmentationIntent Detection	CodeCode Available	0	5
A Unified Framework for Multi-intent Spoken Language Understanding with prompting	Oct 7, 2022	Intent DetectionMulti-Task Learning	CodeCode Available	0	5
A Closer Look at Few-Shot Out-of-Distribution Intent Detection	Oct 1, 2022	Intent DetectionTask-Oriented Dialogue Systems	CodeCode Available	0	5
Generate then Refine: Data Augmentation for Zero-shot Intent Detection	Oct 2, 2024	Data AugmentationDiversity	CodeCode Available	0	5
From Masked Language Modeling to Translation: Non-English Auxiliary Tasks Improve Zero-shot Spoken Language Understanding	May 15, 2021	intent-classificationIntent Classification	CodeCode Available	0	5
All Labels Together: Low-shot Intent Detection with an Efficient Label Semantic Encoding Paradigm	Sep 7, 2023	AllDomain Generalization	CodeCode Available	0	5
FuSSI-Net: Fusion of Spatio-temporal Skeletons for Intention Prediction Network	May 15, 2020	Autonomous DrivingIntent Detection	CodeCode Available	0	5
Improving Dialectal Slot and Intent Detection with Auxiliary Tasks: A Multi-Dialectal Bavarian Case Study	Jan 7, 2025	intent-classificationIntent Classification	CodeCode Available	0	5
Intent Detection with WikiHow	Sep 12, 2020	Intent Detection	CodeCode Available	0	5
Attention-Informed Mixed-Language Training for Zero-shot Cross-lingual Task-oriented Dialogue Systems	Nov 21, 2019	Dialogue State TrackingIntent Detection	CodeCode Available	0	5
Attention-Based Recurrent Neural Network Models for Joint Intent Detection and Slot Filling	Sep 6, 2016	Decoderintent-classification	CodeCode Available	0	5

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All datasets ATIS MixSNIPS MixATIS SNIPS ASOS.com user intent BANKING77 ATIS (vi)BANKING77 10-shot BANKING77 5-shot CAIS CLINC150 CLINC150 10-shot

Benchmark Results

#	Model	Metric	Claimed	Verified	Status
1	Bi-model with decoder	Accuracy	98.99	—	Unverified
2	Transformer-Capsule	Accuracy	98.89	—	Unverified
3	Attention Encoder-Decoder NN	Accuracy	98.43	—	Unverified
4	Joint model with recurrent slot label context	Accuracy	98.4	—	Unverified
5	CTRAN	Accuracy	98.07	—	Unverified
6	Joint BERT + CRF	Accuracy	97.9	—	Unverified
7	SF-ID	Accuracy	97.76	—	Unverified
8	SF-ID (BLSTM) network	Accuracy	97.76	—	Unverified
9	JointBERT-CAE	Accuracy	97.5	—	Unverified
10	Joint BERT	Accuracy	97.5	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	SSRAN	Accuracy	98.4	—	Unverified
2	BiSLU	Accuracy	97.8	—	Unverified
3	DGIF	Accuracy	97.8	—	Unverified
4	Co-guiding Net	Accuracy	97.7	—	Unverified
5	TFMN	Accuracy	97.7	—	Unverified
6	TFMN (PACL)	Accuracy	97.4	—	Unverified
7	MISCA	Accuracy	97.3	—	Unverified
8	Uni-MIS	Accuracy	97.2	—	Unverified
9	SLIM	Accuracy	97.2	—	Unverified
10	UGEN	Accuracy	96.9	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	DGIF	Accuracy	83.3	—	Unverified
2	UGEN	Accuracy	83	—	Unverified
3	TFMN (PACL)	Accuracy	82.9	—	Unverified
4	SLIM (PACL)	Accuracy	81.9	—	Unverified
5	BiSLU	Accuracy	81.5	—	Unverified
6	TFMN	Accuracy	79.8	—	Unverified
7	RoBERTa (PACL)	Accuracy	79.1	—	Unverified
8	Co-guiding Net	Accuracy	79.1	—	Unverified
9	Uni-MIS	Accuracy	78.5	—	Unverified
10	SLIM	Accuracy	78.3	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	CTRAN	Accuracy	99.42	—	Unverified
2	Stack-Propagation (+BERT)	Accuracy	99	—	Unverified
3	JointBERT-CAE	Accuracy	98.3	—	Unverified
4	AGIF	Accuracy	98.1	—	Unverified
5	LIDSNet	Accuracy	98	—	Unverified
6	Stack-Propagation	Accuracy	98	—	Unverified
7	SF-ID	Accuracy	97.43	—	Unverified
8	SF-ID (BLSTM) network	Accuracy	97.43	—	Unverified
9	Capsule-NLU	Accuracy	97.3	—	Unverified
10	Slot-Gated BLSTM with Attension	Accuracy	97	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	plain-LSTM	F1	0.89	—	Unverified
2	linear-Ngrams	F1	0.87	—	Unverified
3	glove-LSTM	F1	0.86	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	RoBERTa-Large + ICDA	Accuracy (%)	94.42	—	Unverified
2	OCaTS (kNN-GPT-4)	Accuracy (%)	82.7	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	JointBERT-CAE	Intent Accuracy	97.7	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	RoBERTa-Large + ICDA	Accuracy (%)	89.79	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	RoBERTa-Large + ICDA	Accuracy (%)	84.01	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	CM-Net	Acc	94.56	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	RoBERTa-Large + ICDA	Accuracy (%)	97.12	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	RoBERTa-Large + ICDA	Accuracy (%)	94.84	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	RoBERTa-Large + ICDA	Accuracy (%)	92.62	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	MIDAS	Accuracy	94.27	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	RoBERTa-Large + ICDA	Accuracy (%)	92.57	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	RoBERTa-Large + ICDA	Accuracy (%)	87.41	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	RoBERTa-Large + ICDA	Accuracy (%)	82.45	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	MIDAS	Accuarcy	85.02	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	General SLU Model w/ Profile	Accuracy	0.85	—	Unverified