Papers Open Intent Detection
“Open Intent Detection” 태그가 달린 논문 7편 · 필터 해제
Ellipsoid-Based Decision Boundaries for Open Intent Classification
Textual open intent classification is crucial for real-world dialogue systems, enabling robust detection of unknown user intents without prior knowledge and contributing to the robustness of the system. While adaptive de…
Open Intent DetectionIntent ClassificationContrastive LearningText ClassificationChatGPT as Data Augmentation for Compositional Generalization: A Case Study in Open Intent Detection
Open intent detection, a crucial aspect of natural language understanding, involves the identification of previously unseen intents in user-generated text. Despite the progress made in this field, challenges persist in h…
Data AugmentationIntent DetectionNatural Language UnderstandingOpen Intent DetectionMetric Learning and Adaptive Boundary for Out-of-Domain Detection
Conversational agents are usually designed for closed-world environments. Unfortunately, users can behave unexpectedly. Based on the open-world environment, we often encounter the situation that the training and test dat…
Metric LearningOpen Intent DetectionOut of Distribution (OOD) DetectionLearning Discriminative Representations and Decision Boundaries for Open Intent Detection
Open intent detection is a significant problem in natural language understanding, which aims to identify the unseen open intent while ensuring known intent identification performance. However, current methods face two ma…
Intent DetectionNatural Language UnderstandingOpen Intent DetectionTEXTOIR: An Integrated and Visualized Platform for Text Open Intent Recognition
TEXTOIR is the first integrated and visualized platform for text open intent recognition. It is composed of two main modules: open intent detection and open intent discovery. Each module integrates most of the state-of-t…
Intent DetectionIntent DiscoveryIntent RecognitionManagement+2Deep Open Intent Classification with Adaptive Decision Boundary
Open intent classification is a challenging task in dialogue systems. On the one hand, it should ensure the quality of known intent identification. On the other hand, it needs to detect the open (unknown) intent without …
ClassificationGeneral Classificationintent-classificationIntent Classification+1Deep Unknown Intent Detection with Margin Loss
Identifying the unknown (novel) user intents that have never appeared in the training set is a challenging task in the dialogue system. In this paper, we present a two-stage method for detecting unknown intents. We use b…
Intent DetectionNovelty DetectionOpen Intent Detection