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 226–250 of 330 papers

Title	Date	Tasks	Status
Bridging the Gap Between Clean Data Training and Real-World Inference for Spoken Language Understanding	Apr 13, 2021	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
Automatic Intent-Slot Induction for Dialogue Systems	Mar 16, 2021	Intent Detectionslot-filling	—Unverified
Joint Intent Detection And Slot Filling Based on Continual Learning Model	Feb 22, 2021	Continual LearningIntent Detection	—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
Joint Intent Detection and Slot Filling with Wheel-Graph Attention Networks	Feb 9, 2021	Graph AttentionIntent Detection	—Unverified
Generalized Zero-shot Intent Detection via Commonsense Knowledge	Feb 4, 2021	Intent Detection	—Unverified
Confusion2vec 2.0: Enriching Ambiguous Spoken Language Representations with Subwords	Feb 3, 2021	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	CodeCode Available
A survey of joint intent detection and slot-filling models in natural language understanding	Jan 20, 2021	ClassificationGeneral Classification	—Unverified
Revisiting Mahalanobis Distance for Transformer-Based Out-of-Domain Detection	Jan 11, 2021	intent-classificationIntent Classification	—Unverified
Encoding Syntactic Knowledge in Transformer Encoder for Intent Detection and Slot Filling	Dec 21, 2020	Intent DetectionMulti-Task Learning	—Unverified
T-WaveNet: Tree-Structured Wavelet Neural Network for Sensor-Based Time Series Analysis	Dec 10, 2020	Activity RecognitionBrain Computer Interface	—Unverified
Few-shot Pseudo-Labeling for Intent Detection	Dec 8, 2020	ClusteringIntent Detection	CodeCode Available
Benchmarking Commercial Intent Detection Services with Practice-Driven Evaluations	Dec 7, 2020	BenchmarkingGoal-Oriented Dialog	CodeCode Available
Federated Learning for Spoken Language Understanding	Dec 1, 2020	Federated LearningIntent Detection	—Unverified
Unified Multi Intent Order and Slot Prediction using Selective Learning Propagation	Dec 1, 2020	Intent DetectionNatural Language Understanding	—Unverified
Balanced Joint Adversarial Training for Robust Intent Detection and Slot Filling	Dec 1, 2020	Intent Detectionslot-filling	—Unverified
Syntactic Graph Convolutional Network for Spoken Language Understanding	Dec 1, 2020	Intent DetectionMulti-Task Learning	—Unverified
Joint Intent Detection and Entity Linking on Spatial Domain Queries	Nov 1, 2020	Entity LinkingIntent Detection	—Unverified
HPERL: 3D Human Pose Estimation from RGB and LiDAR	Oct 16, 2020	3D Human Pose EstimationAction Recognition	CodeCode Available
Few-shot Learning for Multi-label Intent Detection	Oct 11, 2020	Few-Shot LearningIntent Detection	—Unverified
Rank and run-time aware compression of NLP Applications	Oct 6, 2020	Intent DetectionLanguage Modeling	—Unverified
Dynamic Semantic Matching and Aggregation Network for Few-shot Intent Detection	Oct 6, 2020	Few-Shot LearningGeneralized Few-Shot Learning	CodeCode Available
PIN: A Novel Parallel Interactive Network for Spoken Language Understanding	Sep 28, 2020	Intent DetectionLanguage Modelling	—Unverified
Composed Variational Natural Language Generation for Few-shot Intents	Sep 21, 2020	Intent DetectionText Generation	—Unverified
Intent Detection with WikiHow	Sep 12, 2020	Intent Detection	CodeCode Available

Show:10 25 50

← PrevPage 10 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