Search Results for author: Hanlei Zhang

Found 7 papers, 7 papers with code

USNID: A Framework for Unsupervised and Semi-supervised New Intent Discovery

1 code implementation16 Apr 2023 Hanlei Zhang, Hua Xu, Xin Wang, Fei Long, Kai Gao

New intent discovery is of great value to natural language processing, allowing for a better understanding of user needs and providing friendly services.

Clustering Intent Discovery +3

Learning Discriminative Representations and Decision Boundaries for Open Intent Detection

1 code implementation11 Mar 2022 Hanlei Zhang, Hua Xu, Shaojie Zhao, Qianrui Zhou

To address these issues, this paper presents an original framework called DA-ADB, which successively learns distance-aware intent representations and adaptive decision boundaries for open intent detection.

Natural Language Understanding Open Intent Detection

Deep Open Intent Classification with Adaptive Decision Boundary

1 code implementation18 Dec 2020 Hanlei Zhang, Hua Xu, Ting-En Lin

In this paper, we propose a post-processing method to learn the adaptive decision boundary (ADB) for open intent classification.

Classification General Classification +3

Discovering New Intents with Deep Aligned Clustering

2 code implementations16 Dec 2020 Hanlei Zhang, Hua Xu, Ting-En Lin, Rui Lyu

In this work, we propose an effective method, Deep Aligned Clustering, to discover new intents with the aid of the limited known intent data.

Clustering Open Intent Discovery +1

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