반응형 자연어처리572 [2023-03-19] 오늘의 자연어처리 GLEN: General-Purpose Event Detection for Thousands of Types The development of event extraction systems has been hindered by the absence of wide-coverage, large-scale datasets. To make event extraction systems more accessible, we build a general-purpose event detection dataset GLEN, which covers 3,465 different event types, making it over 20x larger in ontology than any current dataset. GLEN is.. 2023. 3. 19. [2023-03-18] 오늘의 자연어처리 Team SheffieldVeraAI at SemEval-2023 Task 3: Mono and multilingual approaches for news genre, topic and persuasion technique classification This paper describes our approach for SemEval-2023 Task 3: Detecting the category, the framing, and the persuasion techniques in online news in a multi-lingual setup. For Subtask 1 (News Genre), we propose an ensemble of fully trained and adapter mBERT model.. 2023. 3. 18. [2023-03-18] 오늘의 자연어처리 Secret-Keeping in Question Answering Existing question-answering research focuses on unanswerable questions in the context of always providing an answer when a system can\dots but what about cases where a system {\bf should not} answer a question. This can either be to protect sensitive users or sensitive information. Many models expose sensitive information under interrogation by an adversarial.. 2023. 3. 18. [2023-03-17] 오늘의 자연어처리 Milner's Proof System for Regular Expressions Modulo Bisimilarity is Complete (Crystallization: Near-Collapsing Process Graph Interpretations of Regular Expressions) Milner (1984) defined a process semantics for regular expressions. He formulated a sound proof system for bisimilarity of process interpretations of regular expressions, and asked whether this system is complete. We report conceptua.. 2023. 3. 17. 이전 1 ··· 75 76 77 78 79 80 81 ··· 143 다음 반응형