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
A deep learning approach for understanding natural language commands for mobile service robots	Jul 9, 2018	Action DetectionIntent Detection	—Unverified
Entity Aware Syntax Tree Based Data Augmentation for Natural Language Understanding	Sep 6, 2022	Data AugmentationIntent Detection	—Unverified
Evaluating Pixel Language Models on Non-Standardized Languages	Dec 12, 2024	Dependency ParsingIntent Detection	—Unverified
Explainable Slot Type Attentions to Improve Joint Intent Detection and Slot Filling	Oct 19, 2022	Intent DetectionNatural Language Understanding	—Unverified
EmotionQueen: A Benchmark for Evaluating Empathy of Large Language Models	Sep 20, 2024	Emotional IntelligenceEmotion Recognition	—Unverified
Encoding Syntactic Knowledge in Transformer Encoder for Intent Detection and Slot Filling	Dec 21, 2020	Intent DetectionMulti-Task Learning	—Unverified
Darknet Traffic Big-Data Analysis and Network Management to Real-Time Automating the Malicious Intent Detection Process by a Weight Agnostic Neural Networks Framework	Feb 16, 2021	Cloud ComputingIntent Detection	—Unverified
A Transformer-based Threshold-Free Framework for Multi-Intent NLU	Oct 1, 2022	Intent DetectionMulti-Task Learning	—Unverified
A Joint and Domain-Adaptive Approach to Spoken Language Understanding	Jul 25, 2021	Domain AdaptationIntent Detection	—Unverified
Embedding Grammars	Aug 14, 2018	Intent DetectionWord Embeddings	—Unverified
CroPrompt: Cross-task Interactive Prompting for Zero-shot Spoken Language Understanding	Jun 15, 2024	Intent Detectionslot-filling	—Unverified
A survey of joint intent detection and slot-filling models in natural language understanding	Jan 20, 2021	ClassificationGeneral Classification	—Unverified
Cost-Based Goal Recognition Meets Deep Learning	Nov 22, 2019	Deep LearningIntent Detection	—Unverified
ConvFiT: Conversational Fine-Tuning of Pretrained Language Models	Sep 21, 2021	Intent DetectionRetrieval	—Unverified
Deep F-measure Maximization for End-to-End Speech Understanding	Aug 8, 2020	FairnessIntent Detection	—Unverified
A Streaming End-to-End Framework For Spoken Language Understanding	May 20, 2021	Intent DetectionKeyword Spotting	—Unverified
Continuous representations of intents for dialogue systems	May 8, 2021	Intent DetectionZero-Shot Learning	—Unverified
Interpretation of the Intent Detection Problem as Dynamics in a Low-dimensional Space	Aug 5, 2024	Intent Detectiontext-classification	—Unverified
Demonstration of interactive teaching for end-to-end dialog control with hybrid code networks	Aug 1, 2017	Dialog LearningEntity Extraction using GAN	—Unverified
Density-Based Dynamic Curriculum Learning for Intent Detection	Aug 24, 2021	Intent Detection	—Unverified
Designing deep neural networks for driver intention recognition	Feb 7, 2024	Intent DetectionNeural Architecture Search	—Unverified
Detecting Intentions of Vulnerable Road Users Based on Collective Intelligence	Sep 11, 2018	Activity RecognitionIntent Detection	—Unverified
DFKI Cabin Simulator: A Test Platform for Visual In-Cabin Monitoring Functions	Jan 28, 2020	3D Pose EstimationIntent Detection	—Unverified
Continual Learning with Dirichlet Generative-based Rehearsal	Sep 13, 2023	Continual LearningIncremental Learning	—Unverified
A Graph-to-Sequence Model for Joint Intent Detection and Slot Filling in Task-Oriented Dialogue Systems	Nov 16, 2021	Decoderglobal-optimization	—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 (BLSTM) network	Accuracy	97.76	—	Unverified
8	SF-ID	Accuracy	97.76	—	Unverified
9	JointBERT-CAE	Accuracy	97.5	—	Unverified
10	Stack-Propagation (+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	TFMN	Accuracy	97.7	—	Unverified
5	Co-guiding Net	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	SLIM (PACL)	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	Co-guiding Net	Accuracy	79.1	—	Unverified
8	RoBERTa (PACL)	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