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 26–50 of 330 papers

Title	Date	Tasks	Status	Hype	Score
ProtAugment: Intent Detection Meta-Learning through Unsupervised Diverse Paraphrasing	Aug 1, 2021	DiversityIntent Detection	CodeCode Available	1	5
A Co-Interactive Transformer for Joint Slot Filling and Intent Detection	Oct 8, 2020	Intent Detectionslot-filling	CodeCode Available	1	5
A Persian Benchmark for Joint Intent Detection and Slot Filling	Mar 1, 2023	Intent DetectionNatural Language Understanding	CodeCode Available	1	5
SLIM: Explicit Slot-Intent Mapping with BERT for Joint Multi-Intent Detection and Slot Filling	Aug 26, 2021	Intent DetectionNatural Language Understanding	CodeCode Available	1	5
SlotRefine: A Fast Non-Autoregressive Model for Joint Intent Detection and Slot Filling	Oct 6, 2020	Intent Detectionslot-filling	CodeCode Available	1	5
Intent Detection and Slot Filling for Vietnamese	Apr 5, 2021	Intent Classification and Slot FillingIntent Detection	CodeCode Available	1	5
Deep Smart Contract Intent Detection	Nov 19, 2022	Intent DetectionMulti-Label Classification	CodeCode Available	1	5
Few-Shot Intent Detection via Contrastive Pre-Training and Fine-Tuning	Sep 13, 2021	Contrastive LearningIntent Detection	CodeCode Available	1	5
Are Pretrained Transformers Robust in Intent Classification? A Missing Ingredient in Evaluation of Out-of-Scope Intent Detection	Jun 8, 2021	intent-classificationIntent Classification	CodeCode Available	1	5
BlendX: Complex Multi-Intent Detection with Blended Patterns	Mar 27, 2024	DiversityIntent Detection	CodeCode Available	1	5
Cache me if you Can: an Online Cost-aware Teacher-Student framework to Reduce the Calls to Large Language Models	Oct 20, 2023	Intent DetectionIntent Recognition	CodeCode Available	1	5
A Generative Language Model for Few-shot Aspect-Based Sentiment Analysis	Apr 11, 2022	Aspect-Based Sentiment AnalysisAspect-Based Sentiment Analysis (ABSA)	CodeCode Available	1	5
Improved Instruction Ordering in Recipe-Grounded Conversation	May 26, 2023	Intent DetectionResponse Generation	CodeCode Available	1	5
A Simple Fix to Mahalanobis Distance for Improving Near-OOD Detection	Jun 16, 2021	Intent DetectionOut-of-Distribution Detection	CodeCode Available	1	5
MCENET: Multi-Context Encoder Network for Homogeneous Agent Trajectory Prediction in Mixed Traffic	Feb 14, 2020	Autonomous DrivingIntent Detection	CodeCode Available	1	5
A Hybrid Architecture for Out of Domain Intent Detection and Intent Discovery	Mar 7, 2023	ClusteringDimensionality Reduction	CodeCode Available	1	5
Co-guiding Net: Achieving Mutual Guidances between Multiple Intent Detection and Slot Filling via Heterogeneous Semantics-Label Graphs	Oct 19, 2022	Graph AttentionIntent Detection	CodeCode Available	1	5
Coupling Intent and Action for Pedestrian Crossing Behavior Prediction	May 10, 2021	Action DetectionAutonomous Vehicles	CodeCode Available	1	5
OpenUE: An Open Toolkit of Universal Extraction from Text	Oct 1, 2020	Event ExtractionIntent Detection	CodeCode Available	1	5
A Label-Aware BERT Attention Network for Zero-Shot Multi-Intent Detection in Spoken Language Understanding	Nov 1, 2021	Intent DetectionSpoken Language Understanding	CodeCode Available	1	5
Learning Class-Transductive Intent Representations for Zero-shot Intent Detection	Dec 3, 2020	Intent DetectionMulti-Task Learning	CodeCode Available	1	5
Discriminative Nearest Neighbor Few-Shot Intent Detection by Transferring Natural Language Inference	Oct 25, 2020	Few-Shot LearningGoal-Oriented Dialog	CodeCode Available	1	5
DeepStruct: Pretraining of Language Models for Structure Prediction	May 21, 2022	coreference-resolutionCoreference Resolution	CodeCode Available	1	5
DialogUSR: Complex Dialogue Utterance Splitting and Reformulation for Multiple Intent Detection	Oct 20, 2022	Intent Detection	CodeCode Available	1	5
Token-Level Supervised Contrastive Learning for Punctuation Restoration	Jul 19, 2021	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	CodeCode Available	1	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