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 151–175 of 330 papers

Title	Date	Tasks	Status
On-Device LLMs for Home Assistant: Dual Role in Intent Detection and Response Generation	Feb 18, 2025	CPUIntent Detection	—Unverified
On the Vector Representation of Utterances in Dialogue Context	May 1, 2018	Document ClassificationIntent Detection	—Unverified
Ontology Population Reusing Resources for Dialogue Intent Detection: Generic and Multilingual Approach	Sep 1, 2021	Intent DetectionManagement	—Unverified
OutFlip: Generating Examples for Unknown Intent Detection with Natural Language Attack	Aug 1, 2021	Intent Detection	—Unverified
Out-of-Domain Intent Detection Considering Multi-Turn Dialogue Contexts	May 5, 2023	Intent Detection	—Unverified
PIN: A Novel Parallel Interactive Network for Spoken Language Understanding	Sep 28, 2020	Intent DetectionLanguage Modelling	—Unverified
PreGSU-A Generalized Traffic Scene Understanding Model for Autonomous Driving based on Pre-trained Graph Attention Network	Apr 16, 2024	Autonomous DrivingFeature Engineering	—Unverified
Proactive Intention Recognition for Joint Human-Robot Search and Rescue Missions through Monte-Carlo Planning in POMDP Environments	Aug 27, 2019	Intent DetectionPosition	—Unverified
Prompt Augmented Generative Replay via Supervised Contrastive Learning for Lifelong Intent Detection	Jul 1, 2022	Continual LearningContrastive Learning	—Unverified
Prompt Learning With Knowledge Memorizing Prototypes For Generalized Few-Shot Intent Detection	Sep 10, 2023	class-incremental learningClass Incremental Learning	—Unverified
Pseudo Siamese Network for Few-shot Intent Generation	May 3, 2021	Intent DetectionObject	—Unverified
QAID: Question Answering Inspired Few-shot Intent Detection	Mar 2, 2023	Intent DetectionQuestion Answering	—Unverified
Query Intent Detection from the SEO Perspective	Jun 16, 2020	ClusteringIntent Detection	—Unverified
Rank and run-time aware compression of NLP Applications	Oct 6, 2020	Intent DetectionLanguage Modeling	—Unverified
Real-Time Activity Recognition and Intention Recognition Using a Vision-based Embedded System	Jul 27, 2021	Activity RecognitionIntent Detection	—Unverified
Real-time Caller Intent Detection In Human-Human Customer Support Spoken Conversations	Aug 14, 2022	Intent Detection	—Unverified
RECIPE4U: Student-ChatGPT Interaction Dataset in EFL Writing Education	Mar 13, 2024	Intent DetectionTask-Oriented Dialogue Systems	—Unverified
Resolving Intent Ambiguities by Retrieving Discriminative Clarifying Questions	Aug 17, 2020	Intent DetectionQuestion Generation	—Unverified
Revisiting Mahalanobis Distance for Transformer-Based Out-of-Domain Detection	Jan 11, 2021	intent-classificationIntent Classification	—Unverified
Risk-Aware Reasoning for Autonomous Vehicles	Oct 6, 2019	Autonomous VehiclesIntent Detection	—Unverified
Robot Intent Recognition Method Based on State Grid Business Office	Sep 29, 2021	Intent DetectionIntent Recognition	—Unverified
ScopeIt: Scoping Task Relevant Sentences in Documents	Feb 23, 2020	Entity Extraction using GANIntent Detection	—Unverified
Seeing Through Deception: Uncovering Misleading Creator Intent in Multimodal News with Vision-Language Models	May 21, 2025	ArticlesIntent Detection	—Unverified
Selective In-Context Data Augmentation for Intent Detection using Pointwise V-Information	Feb 10, 2023	Data AugmentationIntent Detection	—Unverified
Self-Attention Networks for Intent Detection	Jun 28, 2020	Intent DetectionMachine Translation	—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 (BLSTM) network	Accuracy	97.76	—	Unverified
8	SF-ID	Accuracy	97.76	—	Unverified
9	JointBERT-CAE	Accuracy	97.5	—	Unverified
10	Stack-Propagation (+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	TFMN	Accuracy	97.7	—	Unverified
5	Co-guiding Net	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	SLIM (PACL)	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	Co-guiding Net	Accuracy	79.1	—	Unverified
8	RoBERTa (PACL)	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