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
HIT-SCIR at MMNLU-22: Consistency Regularization for Multilingual Spoken Language Understanding	Jan 5, 2023	Data AugmentationIntent Detection	CodeCode Available
Discovering Customer-Service Dialog System with Semi-Supervised Learning and Coarse-to-Fine Intent Detection	Dec 23, 2022	Intent Detection	—Unverified
Spoken Language Understanding for Conversational AI: Recent Advances and Future Direction	Dec 21, 2022	Deep Learningintent-classification	—Unverified
MULTI3NLU++: A Multilingual, Multi-Intent, Multi-Domain Dataset for Natural Language Understanding in Task-Oriented Dialogue	Dec 20, 2022	Intent DetectionMachine Translation	—Unverified
Effectiveness of Text, Acoustic, and Lattice-based representations in Spoken Language Understanding tasks	Dec 16, 2022	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	CodeCode Available
Enhancing Joint Multiple Intent Detection and Slot Filling with Global Intent-Slot Co-occurrence	Dec 1, 2022	Graph Neural NetworkIntent Detection	CodeCode Available
Learning to Select from Multiple Options	Dec 1, 2022	Entity TypingIntent Detection	CodeCode Available
A Scope Sensitive and Result Attentive Model for Multi-Intent Spoken Language Understanding	Nov 22, 2022	Intent DetectionSemantic Frame Parsing	—Unverified
Estimating Soft Labels for Out-of-Domain Intent Detection	Nov 10, 2022	Intent DetectionOut of Distribution (OOD) Detection	—Unverified
A Dynamic Graph Interactive Framework with Label-Semantic Injection for Spoken Language Understanding	Nov 8, 2022	Intent DetectionSemantic Frame Parsing	—Unverified
Group is better than individual: Exploiting Label Topologies and Label Relations for Joint Multiple Intent Detection and Slot Filling	Oct 19, 2022	Intent Detectionslot-filling	—Unverified
Explainable Slot Type Attentions to Improve Joint Intent Detection and Slot Filling	Oct 19, 2022	Intent DetectionNatural Language Understanding	—Unverified
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
A Unified Framework for Multi-intent Spoken Language Understanding with prompting	Oct 7, 2022	Intent DetectionMulti-Task Learning	CodeCode Available
A Closer Look at Few-Shot Out-of-Distribution Intent Detection	Oct 1, 2022	Intent DetectionTask-Oriented Dialogue Systems	CodeCode Available
Continual Few-shot Intent Detection	Oct 1, 2022	Intent DetectionTask-Oriented Dialogue Systems	—Unverified
HCLD: A Hierarchical Framework for Zero-shot Cross-lingual Dialogue System	Oct 1, 2022	Intent DetectionSentence	—Unverified
A Transformer-based Threshold-Free Framework for Multi-Intent NLU	Oct 1, 2022	Intent DetectionMulti-Task Learning	—Unverified
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
Insurance Question Answering via Single-turn Dialogue Modeling	Oct 1, 2022	Intent DetectionQuestion Answering	—Unverified
Towards Multi-label Unknown Intent Detection	Oct 1, 2022	Intent Detection	CodeCode Available
CAE: Mechanism to Diminish the Class Imbalanced in SLU Slot Filling Task	Sep 21, 2022	intent-classificationIntent Classification	CodeCode Available
From Disfluency Detection to Intent Detection and Slot Filling	Sep 17, 2022	Intent DetectionLanguage Modeling	CodeCode Available
Multi-grained Label Refinement Network with Dependency Structures for Joint Intent Detection and Slot Filling	Sep 9, 2022	Graph AttentionIntent Detection	CodeCode Available
Entity Aware Syntax Tree Based Data Augmentation for Natural Language Understanding	Sep 6, 2022	Data AugmentationIntent Detection	—Unverified

Show:10 25 50

← PrevPage 7 of 14Next →

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