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Titlebook: Automated Taxonomy Discovery and Exploration; Jiaming Shen,Jiawei Han Book 2022 The Editor(s) (if applicable) and The Author(s), under exc

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樓主: ONSET
21#
發(fā)表于 2025-3-25 06:11:58 | 只看該作者
Roberto Sabadini,Bert Vermeersentive expansion framework with thorough experiment analysis. After that, we discuss how to extend this expansion framework by exploiting automatically discovered negative sets and incorporating signals from pre-trained language model. Finally, we conclude this chapter with interesting future research directions.
22#
發(fā)表于 2025-3-25 10:52:42 | 只看該作者
https://doi.org/10.1007/978-94-017-7552-6rk effectively leverages user-input guidances to construct a task-specific concept taxonomy. After that, we discuss the experiment findings and conclude this chapter with some interesting future research directions.
23#
發(fā)表于 2025-3-25 12:22:20 | 只看該作者
TPW and , Induced by Ice-Sheet Loading,ically expands existing taxonomies without manually labeled data. Then, we discuss a few extensions of our framework that further improves the taxonomy enrichment quality. Finally, we conclusion this chapter and layout some future research directions.
24#
發(fā)表于 2025-3-25 18:00:57 | 只看該作者
Concept Set Expansion,tive expansion framework with thorough experiment analysis. After that, we discuss how to extend this expansion framework by exploiting automatically discovered negative sets and incorporating signals from pre-trained language model. Finally, we conclude this chapter with interesting future research directions.
25#
發(fā)表于 2025-3-25 21:52:40 | 只看該作者
26#
發(fā)表于 2025-3-26 01:17:26 | 只看該作者
Taxonomy Enrichment,ically expands existing taxonomies without manually labeled data. Then, we discuss a few extensions of our framework that further improves the taxonomy enrichment quality. Finally, we conclusion this chapter and layout some future research directions.
27#
發(fā)表于 2025-3-26 04:47:05 | 只看該作者
28#
發(fā)表于 2025-3-26 11:33:57 | 只看該作者
29#
發(fā)表于 2025-3-26 13:57:38 | 只看該作者
Covert Channels in SIP for VoIP Signallingtaxonomy-guided classification task. Specifically, we first formulate this task as a hierarchical multi-label text classification problem and then propose a weakly-supervised method to address it. After that, we discuss the experiment findings and conclude this chapter with future research directions.
30#
發(fā)表于 2025-3-26 20:42:23 | 只看該作者
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