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[2022-12-03] 오늘의 자연어처리 Open Relation and Event Type Discovery with Type Abstraction Conventional closed-world information extraction (IE) approaches rely on human ontologies to define the scope for extraction. As a result, such approaches fall short when applied to new domains. This calls for systems that can automatically infer new types from given corpora, a task which we refer to as type discovery. To tackle this p.. 2022. 12. 3.
[2022-12-02] 오늘의 자연어처리 X-PuDu at SemEval-2022 Task 6: Multilingual Learning for English and Arabic Sarcasm Detection Detecting sarcasm and verbal irony from people's subjective statements is crucial to understanding their intended meanings and real sentiments and positions in social scenarios. This paper describes the X-PuDu system that participated in SemEval-2022 Task 6, iSarcasmEval - Intended Sarcasm Detection in .. 2022. 12. 2.
[2022-12-01] 오늘의 자연어처리 Lifelong Embedding Learning and Transfer for Growing Knowledge Graphs Existing knowledge graph (KG) embedding models have primarily focused on static KGs. However, real-world KGs do not remain static, but rather evolve and grow in tandem with the development of KG applications. Consequently, new facts and previously unseen entities and relations continually emerge, necessitating an embedding mod.. 2022. 12. 1.
[2022-11-30] 오늘의 자연어처리 Attack on Unfair ToS Clause Detection: A Case Study using Universal Adversarial Triggers Recent work has demonstrated that natural language processing techniques can support consumer protection by automatically detecting unfair clauses in the Terms of Service (ToS) Agreement. This work demonstrates that transformer-based ToS analysis systems are vulnerable to adversarial attacks. We conduct expe.. 2022. 11. 30.
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