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 251–275 of 330 papers

Title	Date	Tasks	Status
User Intention Recognition and Requirement Elicitation Method for Conversational AI Services	Sep 3, 2020	DiversityIntent Detection	—Unverified
Spending Money Wisely: Online Electronic Coupon Allocation based on Real-Time User Intent Detection	Aug 23, 2020	Intent DetectionMultiple-choice	—Unverified
Resolving Intent Ambiguities by Retrieving Discriminative Clarifying Questions	Aug 17, 2020	Intent DetectionQuestion Generation	—Unverified
Deep F-measure Maximization for End-to-End Speech Understanding	Aug 8, 2020	FairnessIntent Detection	—Unverified
Privacy Guarantees for De-identifying Text Transformations	Aug 7, 2020	BIG-bench Machine LearningDe-identification	CodeCode Available
Audio-Visual Understanding of Passenger Intents for In-Cabin Conversational Agents	Jul 8, 2020	Dialogue UnderstandingIntent Detection	—Unverified
Self-Attention Networks for Intent Detection	Jun 28, 2020	Intent DetectionMachine Translation	—Unverified
Query Intent Detection from the SEO Perspective	Jun 16, 2020	ClusteringIntent Detection	—Unverified
Learning with Weak Supervision for Email Intent Detection	May 26, 2020	intent-classificationIntent Classification	—Unverified
FuSSI-Net: Fusion of Spatio-temporal Skeletons for Intention Prediction Network	May 15, 2020	Autonomous DrivingIntent Detection	CodeCode Available
Enriched Pre-trained Transformers for Joint Slot Filling and Intent Detection	Apr 30, 2020	Intent DetectionNatural Language Understanding	—Unverified
CG-BERT: Conditional Text Generation with BERT for Generalized Few-shot Intent Detection	Apr 4, 2020	Conditional Text GenerationIntent Detection	—Unverified
A Post-processing Method for Detecting Unknown Intent of Dialogue System via Pre-trained Deep Neural Network Classifier	Mar 7, 2020	Intent DetectionNovelty Detection	CodeCode Available
ScopeIt: Scoping Task Relevant Sentences in Documents	Feb 23, 2020	Entity Extraction using GANIntent Detection	—Unverified
Transformer-Capsule Model for Intent Detection	Feb 7, 2020	Intent DetectionIntent Recognition	—Unverified
MindReading: An Ultra-Low-Power Photonic Accelerator for EEG-based Human Intention Recognition	Jan 30, 2020	Brain Computer InterfaceEEG	—Unverified
DFKI Cabin Simulator: A Test Platform for Visual In-Cabin Monitoring Functions	Jan 28, 2020	3D Pose EstimationIntent Detection	—Unverified
Sequence Labeling Approach to the Task of Sentence Boundary Detection	Jan 20, 2020	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	CodeCode Available
User-in-the-loop Adaptive Intent Detection for Instructable Digital Assistant	Jan 16, 2020	Intent DetectionNatural Language Understanding	CodeCode Available
“Where is My Parcel?” Fast and Efficient Classifiers to Detect User Intent in Natural Language	Dec 16, 2019	English Conversational Speech RecognitionIntent Detection	CodeCode Available
Cost-Based Goal Recognition Meets Deep Learning	Nov 22, 2019	Deep LearningIntent Detection	—Unverified
Attention-Informed Mixed-Language Training for Zero-shot Cross-lingual Task-oriented Dialogue Systems	Nov 21, 2019	Dialogue State TrackingIntent Detection	CodeCode Available
Improving Robustness of Task Oriented Dialog Systems	Nov 12, 2019	Adversarial AttackData Augmentation	—Unverified
Zero-shot Cross-lingual Dialogue Systems with Transferable Latent Variables	Nov 11, 2019	Intent DetectionNatural Language Understanding	—Unverified
Improving Slot Filling by Utilizing Contextual Information	Nov 5, 2019	Intent Detectionslot-filling	—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	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