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 301–330 of 330 papers

Title	Date	Tasks	Status
Intent Detection and Slots Prompt in a Closed-Domain Chatbot	Dec 27, 2018	ChatbotClassification	—Unverified
A Bi-model based RNN Semantic Frame Parsing Model for Intent Detection and Slot Filling	Dec 26, 2018	Decoder	CodeCode Available
Joint Slot Filling and Intent Detection via Capsule Neural Networks	Dec 22, 2018	Intent DetectionNatural Language Understanding	CodeCode Available
Intent Detection for code-mix utterances in task oriented dialogue systems	Dec 7, 2018	Intent DetectionTask-Oriented Dialogue Systems	—Unverified
Distributionally Robust Semi-Supervised Learning for People-Centric Sensing	Nov 12, 2018	Activity RecognitionGesture Recognition	—Unverified
Action and intention recognition of pedestrians in urban traffic	Oct 23, 2018	Autonomous DrivingAutonomous Vehicles	—Unverified
A Dual-Attention Hierarchical Recurrent Neural Network for Dialogue Act Classification	Oct 22, 2018	ClassificationDialogue Act Classification	—Unverified
Supervised Clustering of Questions into Intents for Dialog System Applications	Oct 1, 2018	ChatbotClustering	—Unverified
A Self-Attentive Model with Gate Mechanism for Spoken Language Understanding	Oct 1, 2018	Automatic Speech Recognition (ASR)Intent Detection	—Unverified
Chinese User Service Intention Classification Based on Hybrid Neural Network	Sep 25, 2018	ClassificationGeneral Classification	—Unverified
User Information Augmented Semantic Frame Parsing using Coarse-to-Fine Neural Networks	Sep 18, 2018	Intent DetectionSemantic Frame Parsing	—Unverified
Detecting Intentions of Vulnerable Road Users Based on Collective Intelligence	Sep 11, 2018	Activity RecognitionIntent Detection	—Unverified
Zero-shot User Intent Detection via Capsule Neural Networks	Sep 2, 2018	Intent DetectionQuestion Answering	CodeCode Available
Churn Intent Detection in Multilingual Chatbot Conversations and Social Media	Aug 25, 2018	ChatbotIntent Detection	CodeCode Available
Embedding Grammars	Aug 14, 2018	Intent DetectionWord Embeddings	—Unverified
Modeling with Recurrent Neural Networks for Open Vocabulary Slots	Aug 1, 2018	Goal-Oriented Dialogue SystemsIntent Detection	—Unverified
A deep learning approach for understanding natural language commands for mobile service robots	Jul 9, 2018	Action DetectionIntent Detection	—Unverified
Slot-Gated Modeling for Joint Slot Filling and Intent Prediction	Jun 1, 2018	global-optimizationIntent Detection	CodeCode Available
Marrying up Regular Expressions with Neural Networks: A Case Study for Spoken Language Understanding	May 15, 2018	Intent Detectionslot-filling	—Unverified
On the Vector Representation of Utterances in Dialogue Context	May 1, 2018	Document ClassificationIntent Detection	—Unverified
Bringing Semantic Structures to User Intent Detection in Online Medical Queries	Oct 22, 2017	Intent DetectionMulti-Task Learning	—Unverified
Demonstration of interactive teaching for end-to-end dialog control with hybrid code networks	Aug 1, 2017	Dialog LearningEntity Extraction using GAN	—Unverified
Benben: A Chinese Intelligent Conversational Robot	Jul 1, 2017	Chinese Word SegmentationDependency Parsing	—Unverified
A Base Camp for Scaling AI	Dec 23, 2016	Dialog LearningIntent Detection	—Unverified
Attention-Based Recurrent Neural Network Models for Joint Intent Detection and Slot Filling	Sep 6, 2016	Decoderintent-classification	CodeCode Available
Joint Online Spoken Language Understanding and Language Modeling with Recurrent Neural Networks	Sep 6, 2016	BenchmarkingIntent Detection	—Unverified
A Semi Supervised Dialog Act Tagging for Telugu	Dec 1, 2015	Dependency ParsingIntent Detection	—Unverified
Feedback in Conversation as Incremental Semantic Update	Apr 1, 2015	Intent Detection	—Unverified
Clarifying Intentions in Dialogue: A Corpus Study	Apr 1, 2015	Intent Detection	—Unverified
Generating Summaries of Line Graphs	Jun 1, 2014	Intent DetectionText Generation	—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