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 2650 of 330 papers

TitleStatusHype
IntentGPT: Few-shot Intent Discovery with Large Language Models0
A Pointer Network-based Approach for Joint Extraction and Detection of Multi-Label Multi-Class Intents0
Generate then Refine: Data Augmentation for Zero-shot Intent DetectionCode0
Intent Detection in the Age of LLMs0
Benchmarking Adaptive Intelligence and Computer Vision on Human-Robot Collaboration0
Discerning the Chaos: Detecting Adversarial Perturbations while Disentangling Intentional from Unintentional Noises0
Experimental Evaluation of Machine Learning Models for Goal-oriented Customer Service Chatbot with Pipeline Architecture0
EmotionQueen: A Benchmark for Evaluating Empathy of Large Language Models0
Diversity-grounded Channel Prototypical Learning for Out-of-Distribution Intent Detection0
MIDAS: Multi-level Intent, Domain, And Slot Knowledge Distillation for Multi-turn NLUCode0
Interpretation of the Intent Detection Problem as Dynamics in a Low-dimensional Space0
Few-Shot Transfer Learning for Individualized Braking Intent Detection on Neuromorphic Hardware0
dzFinNlp at AraFinNLP: Improving Intent Detection in Financial Conversational Agents0
AraFinNLP 2024: The First Arabic Financial NLP Shared Task0
One Stone, Four Birds: A Comprehensive Solution for QA System Using Supervised Contrastive LearningCode0
CroPrompt: Cross-task Interactive Prompting for Zero-shot Spoken Language Understanding0
Towards Spoken Language Understanding via Multi-level Multi-grained Contrastive Learning0
DarijaBanking: A New Resource for Overcoming Language Barriers in Banking Intent Detection for Moroccan Arabic SpeakersCode0
Learning Multimodal Confidence for Intention Recognition in Human-Robot Interaction0
Can LLMs Deeply Detect Complex Malicious Queries? A Framework for Jailbreaking via Obfuscating Intent0
A Two-Stage Prediction-Aware Contrastive Learning Framework for Multi-Intent NLU0
A Weight-aware-based Multi-source Unsupervised Domain Adaptation Method for Human Motion Intention RecognitionCode0
PreGSU-A Generalized Traffic Scene Understanding Model for Autonomous Driving based on Pre-trained Graph Attention Network0
Gaze-Guided Graph Neural Network for Action Anticipation Conditioned on Intention0
Intent Detection and Entity Extraction from BioMedical LiteratureCode0
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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-ID (BLSTM) networkAccuracy97.76Unverified
8SF-IDAccuracy97.76Unverified
9JointBERT-CAEAccuracy97.5Unverified
10Stack-Propagation (+BERT)Accuracy97.5Unverified
#ModelMetricClaimedVerifiedStatus
1SSRANAccuracy98.4Unverified
2BiSLUAccuracy97.8Unverified
3DGIFAccuracy97.8Unverified
4TFMNAccuracy97.7Unverified
5Co-guiding NetAccuracy97.7Unverified
6TFMN (PACL)Accuracy97.4Unverified
7MISCAAccuracy97.3Unverified
8Uni-MISAccuracy97.2Unverified
9SLIMAccuracy97.2Unverified
10SLIM (PACL)Accuracy96.9Unverified
#ModelMetricClaimedVerifiedStatus
1DGIFAccuracy83.3Unverified
2UGENAccuracy83Unverified
3TFMN (PACL)Accuracy82.9Unverified
4SLIM (PACL)Accuracy81.9Unverified
5BiSLUAccuracy81.5Unverified
6TFMNAccuracy79.8Unverified
7Co-guiding NetAccuracy79.1Unverified
8RoBERTa (PACL)Accuracy79.1Unverified
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