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 176–200 of 330 papers

Title	Date	Tasks	Status
Spending Money Wisely: Online Electronic Coupon Allocation based on Real-Time User Intent Detection	Aug 23, 2020	Intent DetectionMultiple-choice	—Unverified
Spoken Language Understanding for Conversational AI: Recent Advances and Future Direction	Dec 21, 2022	Deep Learningintent-classification	—Unverified
Spoken Language Understanding for Task-oriented Dialogue Systems with Augmented Memory Networks	Jun 1, 2021	Decoderglobal-optimization	—Unverified
Structured Knowledge Discovery from Massive Text Corpus	Jul 23, 2019	Intent DetectionLanguage Modeling	—Unverified
Supervised Clustering of Questions into Intents for Dialog System Applications	Oct 1, 2018	ChatbotClustering	—Unverified
Chinese User Service Intention Classification Based on Hybrid Neural Network	Sep 25, 2018	ClassificationGeneral Classification	—Unverified
Syntactic Graph Convolutional Network for Spoken Language Understanding	Dec 1, 2020	Intent DetectionMulti-Task Learning	—Unverified
Task Conditioned BERT for Joint Intent Detection and Slot-filling	Aug 11, 2023	Intent Detectionslot-filling	—Unverified
TEXTOIR: An Integrated and Visualized Platform for Text Open Intent Recognition	Sep 13, 2021	Intent DetectionIntent Discovery	—Unverified
The Spoken Language Understanding MEDIA Benchmark Dataset in the Era of Deep Learning: data updates, training and evaluation tools	Jun 1, 2022	Intent DetectionSpoken Language Understanding	—Unverified
Towards Explainable Dialogue System: Explaining Intent Classification using Saliency Techniques	Dec 1, 2021	intent-classificationIntent Classification	—Unverified
Towards Intention Recognition for Robotic Assistants Through Online POMDP Planning	Nov 26, 2024	Intent Detection	—Unverified
Towards Joint Intent Detection and Slot Filling via Higher-order Attention	Sep 18, 2021	Intent Detectionslot-filling	—Unverified
Towards Multimodal Understanding of Passenger-Vehicle Interactions in Autonomous Vehicles: Intent/Slot Recognition Utilizing Audio-Visual Data	Sep 20, 2019	Autonomous VehiclesIntent Detection	—Unverified
Learning Discriminative Representations and Decision Boundaries for Open Intent Detection	Mar 11, 2022	Intent DetectionNatural Language Understanding	—Unverified
Towards Refining Developer Questions using LLM-Based Named Entity Recognition for Developer Chatroom Conversations	Mar 2, 2025	DiagnosticIntent Detection	—Unverified
Towards Spoken Language Understanding via Multi-level Multi-grained Contrastive Learning	May 31, 2024	Contrastive LearningIntent Detection	—Unverified
Transformer-Capsule Model for Intent Detection	Feb 7, 2020	Intent DetectionIntent Recognition	—Unverified
T-WaveNet: Tree-Structured Wavelet Neural Network for Sensor-Based Time Series Analysis	Dec 10, 2020	Activity RecognitionBrain Computer Interface	—Unverified
Uncovering the Unseen: Discover Hidden Intentions by Micro-Behavior Graph Reasoning	Aug 29, 2023	Intent Detection	—Unverified
UniDU: Towards A Unified Generative Dialogue Understanding Framework	Apr 10, 2022	Dialogue State Trackingdialogue summary	—Unverified
Unified Multi Intent Order and Slot Prediction using Selective Learning Propagation	Dec 1, 2020	Intent DetectionNatural Language Understanding	—Unverified
Unknown Intent Detection Using Multi-Objective Optimization on Deep Learning Classifiers	Sep 1, 2021	Intent DetectionIntent Discovery	—Unverified
Unsupervised dialogue intent detection via hierarchical topic model	Sep 1, 2019	ChatbotIntent Detection	—Unverified
User Centered Design (VI): Human Factors Approaches for Intelligent Human-Computer Interaction	Nov 8, 2021	Intent DetectionPhilosophy	—Unverified

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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