반응형 자연어처리572 [2022-10-25] 오늘의 자연어처리 Audio-to-Intent Using Acoustic-Textual Subword Representations from End-to-End ASR Accurate prediction of the user intent to interact with a voice assistant (VA) on a device (e.g. on the phone) is critical for achieving naturalistic, engaging, and privacy-centric interactions with the VA. To this end, we present a novel approach to predict the user's intent (the user speaking to the device or no.. 2022. 10. 25. [2022-10-24] 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. 24. [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. 이전 1 ··· 114 115 116 117 118 119 120 ··· 143 다음 반응형