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 301–325 of 330 papers

Title	Date	Tasks	Status
Revisit Few-shot Intent Classification with PLMs: Direct Fine-tuning vs. Continual Pre-training	Jun 8, 2023	intent-classificationIntent Classification	CodeCode Available
Zero-shot User Intent Detection via Capsule Neural Networks	Sep 2, 2018	Intent DetectionQuestion Answering	CodeCode Available
Attention-Informed Mixed-Language Training for Zero-shot Cross-lingual Task-oriented Dialogue Systems	Nov 21, 2019	Dialogue State TrackingIntent Detection	CodeCode Available
Multi-Tenant Optimization For Few-Shot Task-Oriented FAQ Retrieval	Jan 25, 2023	Intent DetectionRetrieval	CodeCode Available
Intent Detection and Entity Extraction from BioMedical Literature	Apr 4, 2024	Intent Detectionnamed-entity-recognition	CodeCode Available
Disentangling Confidence Score Distribution for Out-of-Domain Intent Detection with Energy-Based Learning	Oct 17, 2022	Intent DetectionOut of Distribution (OOD) Detection	CodeCode Available
Intent Detection and Slot Filling for Home Assistants: Dataset and Analysis for Bangla and Sylheti	Oct 17, 2023	Intent Detectionslot-filling	CodeCode Available
Uni-MIS: United Multiple Intent Spoken Language Understanding via Multi-View Intent-Slot Interaction	Mar 24, 2024	Intent Detectionslot-filling	CodeCode Available
A Novel Bi-directional Interrelated Model for Joint Intent Detection and Slot Filling	Jun 30, 2019	Intent DetectionSentence	CodeCode Available
RSVP: Customer Intent Detection via Agent Response Contrastive and Generative Pre-Training	Oct 15, 2023	Intent DetectionResponse Generation	CodeCode Available
All Labels Together: Low-shot Intent Detection with an Efficient Label Semantic Encoding Paradigm	Sep 7, 2023	AllDomain Generalization	CodeCode Available
Intent Detection with WikiHow	Sep 12, 2020	Intent Detection	CodeCode Available
One Stone, Four Birds: A Comprehensive Solution for QA System Using Supervised Contrastive Learning	Jul 12, 2024	Continual LearningContrastive Learning	CodeCode Available
ChEDDAR: Student-ChatGPT Dialogue in EFL Writing Education	Sep 23, 2023	Intent DetectionTask-Oriented Dialogue Systems	CodeCode Available
Attention-Based Recurrent Neural Network Models for Joint Intent Detection and Slot Filling	Sep 6, 2016	Decoderintent-classification	CodeCode Available
A Closer Look at Few-Shot Out-of-Distribution Intent Detection	Oct 1, 2022	Intent DetectionTask-Oriented Dialogue Systems	CodeCode Available
Intention Recognition in Real-Time Interactive Navigation Maps	Feb 24, 2025	Intent DetectionLanguage Modeling	CodeCode Available
Intention Recognition of Pedestrians and Cyclists by 2D Pose Estimation	Oct 9, 2019	2D Pose EstimationAutonomous Vehicles	CodeCode Available
ChatGPT as Data Augmentation for Compositional Generalization: A Case Study in Open Intent Detection	Aug 25, 2023	Data AugmentationIntent Detection	CodeCode Available
User-in-the-loop Adaptive Intent Detection for Instructable Digital Assistant	Jan 16, 2020	Intent DetectionNatural Language Understanding	CodeCode Available
CAE: Mechanism to Diminish the Class Imbalanced in SLU Slot Filling Task	Sep 21, 2022	intent-classificationIntent Classification	CodeCode Available
A Framework to Generate High-Quality Datapoints for Multiple Novel Intent Detection	May 4, 2022	Intent Detection	CodeCode Available
Out-of-Scope Intent Detection with Self-Supervision and Discriminative Training	Jun 16, 2021	Intent DetectionOutlier Detection	CodeCode Available
Sequence Labeling Approach to the Task of Sentence Boundary Detection	Jan 20, 2020	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	CodeCode Available
DELTA: A DEep learning based Language Technology plAtform	Aug 2, 2019	Abstractive Text SummarizationDeep Learning	CodeCode Available

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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