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	Hype
Continual Learning with Dirichlet Generative-based Rehearsal	Sep 13, 2023	Continual LearningIncremental Learning	—Unverified	0
Prompt Learning With Knowledge Memorizing Prototypes For Generalized Few-Shot Intent Detection	Sep 10, 2023	class-incremental learningClass Incremental Learning	—Unverified	0
All Labels Together: Low-shot Intent Detection with an Efficient Label Semantic Encoding Paradigm	Sep 7, 2023	AllDomain Generalization	CodeCode Available	0
Graph-Based Interaction-Aware Multimodal 2D Vehicle Trajectory Prediction using Diffusion Graph Convolutional Networks	Sep 5, 2023	Graph EmbeddingIntent Detection	—Unverified	0
Uncovering the Unseen: Discover Hidden Intentions by Micro-Behavior Graph Reasoning	Aug 29, 2023	Intent Detection	—Unverified	0
Joint Multiple Intent Detection and Slot Filling with Supervised Contrastive Learning and Self-Distillation	Aug 28, 2023	Contrastive LearningIntent Detection	CodeCode Available	1
ChatGPT as Data Augmentation for Compositional Generalization: A Case Study in Open Intent Detection	Aug 25, 2023	Data AugmentationIntent Detection	CodeCode Available	0
Task Conditioned BERT for Joint Intent Detection and Slot-filling	Aug 11, 2023	Intent Detectionslot-filling	—Unverified	0
Slot Induction via Pre-trained Language Model Probing and Multi-level Contrastive Learning	Aug 9, 2023	Contrastive LearningIntent Detection	CodeCode Available	0
LaDA: Latent Dialogue Action For Zero-shot Cross-lingual Neural Network Language Modeling	Aug 5, 2023	Intent DetectionLanguage Modeling	—Unverified	0
ReCoMIF: Reading comprehension based multi-source information fusion network for Chinese spoken language understanding	Aug 1, 2023	Intent DetectionMultiple-choice	CodeCode Available	0
Utilisation of open intent recognition models for customer support intent detection	Jul 31, 2023	Intent DetectionIntent Discovery	—Unverified	0
A Comparative Analysis of Machine Learning Methods for Lane Change Intention Recognition Using Vehicle Trajectory Data	Jul 28, 2023	Autonomous VehiclesIntent Detection	—Unverified	0
Multi-Intent Detection in User Provided Annotations for Programming by Examples Systems	Jul 8, 2023	Intent DetectionProgram Synthesis	—Unverified	0
Multilingual Few-Shot Learning via Language Model Retrieval	Jun 19, 2023	Few-Shot LearningIn-Context Learning	—Unverified	0
Revisit Few-shot Intent Classification with PLMs: Direct Fine-tuning vs. Continual Pre-training	Jun 8, 2023	intent-classificationIntent Classification	CodeCode Available	0
Findings of the VarDial Evaluation Campaign 2023	May 31, 2023	Intent Detection	—Unverified	0
MSMix:An Interpolation-Based Text Data Augmentation Method Manifold Swap Mixup	May 31, 2023	Data AugmentationIntent Detection	—Unverified	0
Tri-level Joint Natural Language Understanding for Multi-turn Conversational Datasets	May 28, 2023	Intent DetectionNatural Language Understanding	CodeCode Available	0
Improved Instruction Ordering in Recipe-Grounded Conversation	May 26, 2023	Intent DetectionResponse Generation	CodeCode Available	1
DialogVCS: Robust Natural Language Understanding in Dialogue System Upgrade	May 24, 2023	Intent DetectionMulti-Label Classification	—Unverified	0
Generalized Multiple Intent Conditioned Slot Filling	May 18, 2023	Intent DetectionLanguage Modeling	—Unverified	0
Out-of-Domain Intent Detection Considering Multi-Turn Dialogue Contexts	May 5, 2023	Intent Detection	—Unverified	0
Zero-Shot Slot and Intent Detection in Low-Resource Languages	Apr 26, 2023	DecoderIntent Detection	—Unverified	0
Lane Change Intention Recognition and Vehicle Status Prediction for Autonomous Vehicles	Apr 25, 2023	Autonomous VehiclesIntent Detection	—Unverified	0

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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