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 276–300 of 330 papers

Title	Date	Tasks	Status
Enhancing Slot Tagging with Intent Features for Task Oriented Natural Language Understanding using BERT	May 19, 2022	Intent DetectionNatural Language Understanding	—Unverified
Enriched Pre-trained Transformers for Joint Slot Filling and Intent Detection	Apr 30, 2020	Intent DetectionNatural Language Understanding	—Unverified
Entity Aware Syntax Tree Based Data Augmentation for Natural Language Understanding	Sep 6, 2022	Data AugmentationIntent Detection	—Unverified
Estimating Soft Labels for Out-of-Domain Intent Detection	Nov 10, 2022	Intent DetectionOut of Distribution (OOD) Detection	—Unverified
Evaluating Pixel Language Models on Non-Standardized Languages	Dec 12, 2024	Dependency ParsingIntent Detection	—Unverified
Expanding the Text Classification Toolbox with Cross-Lingual Embeddings	Mar 23, 2019	ClassificationGeneral Classification	—Unverified
Experimental Evaluation of Machine Learning Models for Goal-oriented Customer Service Chatbot with Pipeline Architecture	Sep 27, 2024	ChatbotDialogue Management	—Unverified
Explainable and Accurate Natural Language Understanding for Voice Assistants and Beyond	Sep 25, 2023	General ClassificationIntent Detection	—Unverified
Explainable Slot Type Attentions to Improve Joint Intent Detection and Slot Filling	Oct 19, 2022	Intent DetectionNatural Language Understanding	—Unverified
Exploiting Topic Information for Joint Intent Detection and Slot Filling	Jan 16, 2022	Intent DetectionNatural Language Understanding	—Unverified
Exploring the Vulnerability of the Content Moderation Guardrail in Large Language Models via Intent Manipulation	May 24, 2025	Intent DetectionNatural Language Understanding	—Unverified
Federated Learning for Spoken Language Understanding	Dec 1, 2020	Federated LearningIntent Detection	—Unverified
Feedback in Conversation as Incremental Semantic Update	Apr 1, 2015	Intent Detection	—Unverified
Few-shot Learning for Multi-label Intent Detection	Oct 11, 2020	Few-Shot LearningIntent Detection	—Unverified
Few-Shot Transfer Learning for Individualized Braking Intent Detection on Neuromorphic Hardware	Jul 21, 2024	Intent DetectionTransfer Learning	—Unverified
Findings of the VarDial Evaluation Campaign 2023	May 31, 2023	Intent Detection	—Unverified
Fine-Grained Behavior and Lane Constraints Guided Trajectory Prediction Method	Mar 27, 2025	Autonomous DrivingDecoder	—Unverified
Fitting Different Interactive Information: Joint Classification of Emotion and Intention	Jan 5, 2025	Emotion RecognitionIntent Detection	—Unverified
Flippi: End To End GenAI Assistant for E-Commerce	Jul 8, 2025	Intent Detectionnamed-entity-recognition	—Unverified
Gaze-based intention estimation: principles, methodologies, and applications in HRI	Feb 9, 2023	Intent DetectionIntent Recognition	—Unverified
Gaze-Guided Graph Neural Network for Action Anticipation Conditioned on Intention	Apr 10, 2024	Action AnticipationGraph Neural Network	—Unverified
Generalized Multiple Intent Conditioned Slot Filling	May 18, 2023	Intent DetectionLanguage Modeling	—Unverified
Generalized Zero-shot Intent Detection via Commonsense Knowledge	Feb 4, 2021	Intent Detection	—Unverified
Generating Summaries of Line Graphs	Jun 1, 2014	Intent DetectionText Generation	—Unverified
Generative Conversational Networks	Jun 15, 2021	Intent DetectionMeta-Learning	—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