반응형 자연어처리572 [2022-12-15] 오늘의 자연어처리 The Turing Deception This research revisits the classic Turing test and compares recent large language models such as ChatGPT for their abilities to reproduce human-level comprehension and compelling text generation. Two task challenges -- summarization, and question answering -- prompt ChatGPT to produce original content (98-99%) from a single text entry and also sequential questions originally.. 2022. 12. 15. [2022-12-14] 오늘의 자연어처리 Chinese Discourse Annotation Reference Manual This document provides extensive guidelines and examples for Rhetorical Structure Theory (RST) annotation in Mandarin Chinese. The guideline is divided into three sections. We first introduce preprocessing steps to prepare data for RST annotation. Secondly, we discuss syntactic criteria to segment texts into Elementary Discourse Units (EDUs). Lastly,.. 2022. 12. 14. [2022-12-13] 오늘의 자연어처리 Comparative Study of Sentiment Analysis for Multi-Sourced Social Media Platforms There is a vast amount of data generated every second due to the rapidly growing technology in the current world. This area of research attempts to determine the feelings or opinions of people on social media posts. The dataset we used was a multi-source dataset from the comment section of various social networking .. 2022. 12. 13. [2022-12-12] 오늘의 자연어처리 A Modality-level Explainable Framework for Misinformation Checking in Social Networks The widespread of false information is a rising concern worldwide with critical social impact, inspiring the emergence of fact-checking organizations to mitigate misinformation dissemination. However, human-driven verification leads to a time-consuming task and a bottleneck to have checked trustworthy informati.. 2022. 12. 12. 이전 1 ··· 100 101 102 103 104 105 106 ··· 143 다음 반응형