반응형 분류 전체보기599 [2022-10-23] 오늘의 자연어처리 Improving Chinese Spelling Check by Character Pronunciation Prediction: The Effects of Adaptivity and Granularity Chinese spelling check (CSC) is a fundamental NLP task that detects and corrects spelling errors in Chinese texts. As most of these spelling errors are caused by phonetic similarity, effectively modeling the pronunciation of Chinese characters is a key factor for CSC. In this paper, .. 2022. 10. 23. [2022-10-23] 오늘의 자연어처리 Data-Efficient Strategies for Expanding Hate Speech Detection into Under-Resourced Languages Hate speech is a global phenomenon, but most hate speech datasets so far focus on English-language content. This hinders the development of more effective hate speech detection models in hundreds of languages spoken by billions across the world. More data is needed, but annotating hateful content is expe.. 2022. 10. 23. [2022-10-22] 오늘의 자연어처리 Execution Time Program Verification With Tight Bounds This paper presents a proof system for reasoning about execution time bounds for a core imperative programming language. Proof systems are defined for three different scenarios: approximations of the worst-case execution time, exact time reasoning, and less pessimistic execution time estimation using amortized analysis. We define a Hoare logi.. 2022. 10. 22. [2022-10-21] 오늘의 자연어처리 Language Models Understand Us, Poorly Some claim language models understand us. Others won't hear it. To clarify, I investigate three views of human language understanding: as-mapping, as-reliability and as-representation. I argue that while behavioral reliability is necessary for understanding, internal representations are sufficient; they climb the right hill. I review state-of-the-art languag.. 2022. 10. 21. 이전 1 ··· 116 117 118 119 120 121 122 ··· 150 다음 반응형