scholar.google.com › citations
Sep 10, 2023 · We propose a two-stage learning framework, which sequentially learns the knowledge of different intents in various periods via prompt learning.
Generalized Few-Shot Intent Detection (GFSID) is challenging and realistic because it needs to categorize both seen and novel intents simultaneously.
Sep 10, 2023 · Generalized Few-Shot Intent Detection (GFSID) is challeng- ing and realistic because it needs to categorize both seen and novel intents ...
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 ...
Sep 10, 2023 · Prompt Learning With Knowledge Memorizing Prototypes For Generalized Few-Shot Intent Detection ... Previous GFSID methods rely on the episodic ...
合著作者 ; Prompt Learning With Knowledge Memorizing Prototypes For Generalized Few-Shot Intent Detection. C Luoyiching, Y Li, Y Li, R Li, HT Zheng, N Zhou, H Su.
This paper proposes a novel Semantic Matching and Aggregation Network where semantic components are distilled from utterances via multi-head self-attention.
Our approach revolves around a tailored prompt learning framework specifically designed for metaphor detection. By strategically masking target words and ...
Oct 12, 2022 · Continual Learning aims to learn a sequence of tasks incrementally. Most works in NLP domains focus on text classification tasks in continual ...
Missing: Memorizing | Show results with:Memorizing
... knowledge of previously learned base classes. ... Prompt Learning With Knowledge Memorizing Prototypes For Generalized Few-Shot Intent Detection. Preprint.