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Found 8 papers, 2 papers with code
《动词句法语义信息词典》知识内容说明书(An Introduction to the Syntactic-Semantic Knowledge-Base of Chinese Verbs)
本文首先介绍《实词信息词典》的研制目标与结构内容, 重点介绍其中的《动词信息词典》的体系结构与理论背景;然后, 介绍《动词信息词典》所区分的8种动词小类及其定义, 其为动词所设置的22种语义角色及其定义, 由这些语义角色的不同配置而造成的20来种句法格式及其例句, 其所考察的动词的9种主要的语法功能及其对于该词类的隶属度;最后, 给出《动词信息词典》中检索系统的界面截图, 交代其相应的纸质版本的情况。
双重否定结构自动识别研究(The Research on Automatic Recognition of the Double Negation Structure)
“双重否定结构是一种“通过两次否定表示肯定意义”的特殊结构, 其存在会对自然语言处理中的语义判断与情感分类产生重要影响。本文以“eg eg P== extgreater P”为标准, 对现代汉语中所有的“否定词+否定词”结构进行了遍历研究, 将双重否定结构按照格式分为了3大类, 25小类, 常用双重否定结构或构式132个。结合动词的叙实性、否定焦点、语义否定与语用否定等相关理论, 本文归纳了双重否定结构的三大成立条件, 并据此设计实现了基于规则的双重否定结构自动识别程序。程序实验的精确率为98. 85%, 召回率为98. 90%, F1值为98. 85%。同时, 程序还从96281句语料中获得了8640句精确率约为99%的含有双重否定结构的句子, 为后续基于统计的深度学习模型提供了语料支持的可能。”
DetectRL: Benchmarking LLM-Generated Text Detection in Real-World Scenarios
More importantly, we analyzed the potential impact of writing styles, model types, attack methods, the text lengths, and real-world human writing factors on different types of detectors.
(Perhaps) Beyond Human Translation: Harnessing Multi-Agent Collaboration for Translating Ultra-Long Literary Texts
Recent advancements in machine translation (MT) have significantly enhanced translation quality across various domains.
Findings of the WMT 2023 Shared Task on Discourse-Level Literary Translation: A Fresh Orb in the Cosmos of LLMs
To foster progress in this domain, we hold a new shared task at WMT 2023, the first edition of the Discourse-Level Literary Translation.
A Survey on LLM-Generated Text Detection: Necessity, Methods, and Future Directions
In this survey, we collate recent research breakthroughs in this area and underscore the pressing need to bolster detector research.
