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 76–100 of 330 papers

Title	Date	Tasks	Status	Score
Add Noise, Tasks, or Layers? MaiNLP at the VarDial 2025 Shared Task on Norwegian Dialectal Slot and Intent Detection	Jan 7, 2025	Intent DetectionNatural Language Understanding	CodeCode Available	5
Intent Detection and Slot Filling for Home Assistants: Dataset and Analysis for Bangla and Sylheti	Oct 17, 2023	Intent Detectionslot-filling	CodeCode Available	5
Intention Recognition in Real-Time Interactive Navigation Maps	Feb 24, 2025	Intent DetectionLanguage Modeling	CodeCode Available	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	5
Improving Dialectal Slot and Intent Detection with Auxiliary Tasks: A Multi-Dialectal Bavarian Case Study	Jan 7, 2025	intent-classificationIntent Classification	CodeCode Available	5
Integrating Text and Image: Determining Multimodal Document Intent in Instagram Posts	Apr 19, 2019	Intent Detection	CodeCode Available	5
HIT-SCIR at MMNLU-22: Consistency Regularization for Multilingual Spoken Language Understanding	Jan 5, 2023	Data AugmentationIntent Detection	CodeCode Available	5
A Stack-Propagation Framework with Token-Level Intent Detection for Spoken Language Understanding	Sep 5, 2019	Intent Detectionslot-filling	CodeCode Available	5
HPERL: 3D Human Pose Estimation from RGB and LiDAR	Oct 16, 2020	3D Human Pose EstimationAction Recognition	CodeCode Available	5
A Bi-model based RNN Semantic Frame Parsing Model for Intent Detection and Slot Filling	Dec 26, 2018	Decoder	CodeCode Available	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	5
Intention Recognition of Pedestrians and Cyclists by 2D Pose Estimation	Oct 9, 2019	2D Pose EstimationAutonomous Vehicles	CodeCode Available	5
DarijaBanking: A New Resource for Overcoming Language Barriers in Banking Intent Detection for Moroccan Arabic Speakers	May 26, 2024	intent-classificationIntent Classification	CodeCode Available	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	5
Confusion2vec 2.0: Enriching Ambiguous Spoken Language Representations with Subwords	Feb 3, 2021	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	CodeCode Available	5
FuSSI-Net: Fusion of Spatio-temporal Skeletons for Intention Prediction Network	May 15, 2020	Autonomous DrivingIntent Detection	CodeCode Available	5
From Disfluency Detection to Intent Detection and Slot Filling	Sep 17, 2022	Intent DetectionLanguage Modeling	CodeCode Available	5
DELTA: A DEep learning based Language Technology plAtform	Aug 2, 2019	Abstractive Text SummarizationDeep Learning	CodeCode Available	5
Attention-Informed Mixed-Language Training for Zero-shot Cross-lingual Task-oriented Dialogue Systems	Nov 21, 2019	Dialogue State TrackingIntent Detection	CodeCode Available	5
Generate then Refine: Data Augmentation for Zero-shot Intent Detection	Oct 2, 2024	Data AugmentationDiversity	CodeCode Available	5
CM-Net: A Novel Collaborative Memory Network for Spoken Language Understanding	Sep 16, 2019	Intent Detectionslot-filling	CodeCode Available	5
Enhancing Joint Multiple Intent Detection and Slot Filling with Global Intent-Slot Co-occurrence	Dec 1, 2022	Graph Neural NetworkIntent Detection	CodeCode Available	5
Churn Intent Detection in Multilingual Chatbot Conversations and Social Media	Aug 25, 2018	ChatbotIntent Detection	CodeCode Available	5
Exploring the Limits of Natural Language Inference Based Setup for Few-Shot Intent Detection	Dec 14, 2021	Few-Shot LearningGeneralized Few-Shot Learning	CodeCode Available	5
Few-shot Pseudo-Labeling for Intent Detection	Dec 8, 2020	ClusteringIntent Detection	CodeCode Available	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