SOTAVerified

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

Showing 251300 of 330 papers

TitleStatusHype
Self-Attention Networks for Intent Detection0
Attention-based Graph ResNet for Motor Intent Detection from Raw EEG signalsCode2
Query Intent Detection from the SEO Perspective0
Learning with Weak Supervision for Email Intent Detection0
FuSSI-Net: Fusion of Spatio-temporal Skeletons for Intention Prediction NetworkCode0
Enriched Pre-trained Transformers for Joint Slot Filling and Intent Detection0
AGIF: An Adaptive Graph-Interactive Framework for Joint Multiple Intent Detection and Slot FillingCode1
TOD-BERT: Pre-trained Natural Language Understanding for Task-Oriented DialogueCode1
CG-BERT: Conditional Text Generation with BERT for Generalized Few-shot Intent Detection0
Efficient Intent Detection with Dual Sentence EncodersCode1
A Post-processing Method for Detecting Unknown Intent of Dialogue System via Pre-trained Deep Neural Network ClassifierCode0
ScopeIt: Scoping Task Relevant Sentences in Documents0
MCENET: Multi-Context Encoder Network for Homogeneous Agent Trajectory Prediction in Mixed TrafficCode1
Transformer-Capsule Model for Intent Detection0
MindReading: An Ultra-Low-Power Photonic Accelerator for EEG-based Human Intention Recognition0
DFKI Cabin Simulator: A Test Platform for Visual In-Cabin Monitoring Functions0
Sequence Labeling Approach to the Task of Sentence Boundary DetectionCode0
User-in-the-loop Adaptive Intent Detection for Instructable Digital AssistantCode0
“Where is My Parcel?” Fast and Efficient Classifiers to Detect User Intent in Natural LanguageCode0
Cost-Based Goal Recognition Meets Deep Learning0
Attention-Informed Mixed-Language Training for Zero-shot Cross-lingual Task-oriented Dialogue SystemsCode0
Improving Robustness of Task Oriented Dialog Systems0
Zero-shot Cross-lingual Dialogue Systems with Transferable Latent Variables0
Improving Slot Filling by Utilizing Contextual Information0
RNN based Incremental Online Spoken Language Understanding0
Intention Recognition of Pedestrians and Cyclists by 2D Pose EstimationCode0
Risk-Aware Reasoning for Autonomous Vehicles0
預訓練詞向量模型應用於客服對話系統意圖偵測之研究(Study on Pre-trained Word Vector Model Applied to Intent Detection of Customer Service Dialogue System)0
Towards Multimodal Understanding of Passenger-Vehicle Interactions in Autonomous Vehicles: Intent/Slot Recognition Utilizing Audio-Visual Data0
CM-Net: A Novel Collaborative Memory Network for Spoken Language UnderstandingCode0
A Stack-Propagation Framework with Token-Level Intent Detection for Spoken Language UnderstandingCode0
Unsupervised dialogue intent detection via hierarchical topic model0
Proactive Intention Recognition for Joint Human-Robot Search and Rescue Missions through Monte-Carlo Planning in POMDP Environments0
DELTA: A DEep learning based Language Technology plAtformCode0
Structured Knowledge Discovery from Massive Text Corpus0
OCC: A Smart Reply System for Efficient In-App Communications0
Almawave-SLU: A new dataset for SLU in Italian0
Multi-lingual Intent Detection and Slot Filling in a Joint BERT-based Model0
Multimodal Uncertainty Reduction for Intention Recognition in Human-Robot Interaction0
A Novel Bi-directional Interrelated Model for Joint Intent Detection and Slot FillingCode0
Intention-aware Long Horizon Trajectory Prediction of Surrounding Vehicles using Dual LSTM Networks0
Deep Unknown Intent Detection with Margin LossCode0
Joint Multiple Intent Detection and Slot Labeling for Goal-Oriented Dialog0
A Self-Attention Joint Model for Spoken Language Understanding in Situational Dialog Applications0
Natural Language Interactions in Autonomous Vehicles: Intent Detection and Slot Filling from Passenger Utterances0
Integrating Text and Image: Determining Multimodal Document Intent in Instagram PostsCode0
Spoken Language Intent Detection using Confusion2VecCode0
Question Embeddings Based on Shannon Entropy: Solving intent classification task in goal-oriented dialogue systemCode0
Expanding the Text Classification Toolbox with Cross-Lingual Embeddings0
BERT for Joint Intent Classification and Slot FillingCode1
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1Bi-model with decoderAccuracy98.99Unverified
2Transformer-CapsuleAccuracy98.89Unverified
3Attention Encoder-Decoder NNAccuracy98.43Unverified
4Joint model with recurrent slot label contextAccuracy98.4Unverified
5CTRANAccuracy98.07Unverified
6Joint BERT + CRFAccuracy97.9Unverified
7SF-IDAccuracy97.76Unverified
8SF-ID (BLSTM) networkAccuracy97.76Unverified
9JointBERT-CAEAccuracy97.5Unverified
10Joint BERTAccuracy97.5Unverified
#ModelMetricClaimedVerifiedStatus
1SSRANAccuracy98.4Unverified
2BiSLUAccuracy97.8Unverified
3DGIFAccuracy97.8Unverified
4Co-guiding NetAccuracy97.7Unverified
5TFMNAccuracy97.7Unverified
6TFMN (PACL)Accuracy97.4Unverified
7MISCAAccuracy97.3Unverified
8Uni-MISAccuracy97.2Unverified
9SLIMAccuracy97.2Unverified
10UGENAccuracy96.9Unverified
#ModelMetricClaimedVerifiedStatus
1DGIFAccuracy83.3Unverified
2UGENAccuracy83Unverified
3TFMN (PACL)Accuracy82.9Unverified
4SLIM (PACL)Accuracy81.9Unverified
5BiSLUAccuracy81.5Unverified
6TFMNAccuracy79.8Unverified
7RoBERTa (PACL)Accuracy79.1Unverified
8Co-guiding NetAccuracy79.1Unverified
9Uni-MISAccuracy78.5Unverified
10SLIMAccuracy78.3Unverified
#ModelMetricClaimedVerifiedStatus
1CTRANAccuracy99.42Unverified
2Stack-Propagation (+BERT)Accuracy99Unverified
3JointBERT-CAEAccuracy98.3Unverified
4AGIFAccuracy98.1Unverified
5LIDSNetAccuracy98Unverified
6Stack-PropagationAccuracy98Unverified
7SF-IDAccuracy97.43Unverified
8SF-ID (BLSTM) networkAccuracy97.43Unverified
9Capsule-NLUAccuracy97.3Unverified
10Slot-Gated BLSTM with AttensionAccuracy97Unverified
#ModelMetricClaimedVerifiedStatus
1plain-LSTMF10.89Unverified
2linear-NgramsF10.87Unverified
3glove-LSTMF10.86Unverified
#ModelMetricClaimedVerifiedStatus
1RoBERTa-Large + ICDAAccuracy (%)94.42Unverified
2OCaTS (kNN-GPT-4)Accuracy (%)82.7Unverified
#ModelMetricClaimedVerifiedStatus
1JointBERT-CAEIntent Accuracy97.7Unverified
#ModelMetricClaimedVerifiedStatus
1RoBERTa-Large + ICDAAccuracy (%)89.79Unverified
#ModelMetricClaimedVerifiedStatus
1RoBERTa-Large + ICDAAccuracy (%)84.01Unverified
#ModelMetricClaimedVerifiedStatus
1CM-NetAcc94.56Unverified
#ModelMetricClaimedVerifiedStatus
1RoBERTa-Large + ICDAAccuracy (%)97.12Unverified
#ModelMetricClaimedVerifiedStatus
1RoBERTa-Large + ICDAAccuracy (%)94.84Unverified
#ModelMetricClaimedVerifiedStatus
1RoBERTa-Large + ICDAAccuracy (%)92.62Unverified
#ModelMetricClaimedVerifiedStatus
1MIDASAccuracy94.27Unverified
#ModelMetricClaimedVerifiedStatus
1RoBERTa-Large + ICDAAccuracy (%)92.57Unverified
#ModelMetricClaimedVerifiedStatus
1RoBERTa-Large + ICDAAccuracy (%)87.41Unverified
#ModelMetricClaimedVerifiedStatus
1RoBERTa-Large + ICDAAccuracy (%)82.45Unverified
#ModelMetricClaimedVerifiedStatus
1MIDASAccuarcy85.02Unverified
#ModelMetricClaimedVerifiedStatus
1General SLU Model w/ ProfileAccuracy0.85Unverified