Papers with task identification
An Ensemble-of-Experts Framework for Rehearsal-free Continual Relation Extraction (2024.findings-acl)
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| Challenge: | Existing methods for continual relation extraction (CRE) are rehearsal-based and need to store samples and thus may encounter privacy and security issues. |
| Approach: | They propose an Ensemble-of-Experts framework for rehearsal-free continual relation extraction that discriminates between experts and augments analogous relations across tasks. |
| Outcome: | The proposed method outperforms existing rehearsal-free methods and is even better than existing methods. |
Lin: Unsupervised Extraction of Tasks from Textual Communication (2020.coling-main)
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| Challenge: | Identifying tasks from emails and chats is a hallmark of collaborative communication . state-of-the-art approaches for task identification rely on large annotated datasets . |
| Approach: | They propose an unsupervised approach to identifying tasks that leverages dependency parsing and VerbNet. |
| Outcome: | The proposed approach yields comparable or more accurate results than supervised models on unseen domains. |