3 papers
cs.CY2025
Why Slop Matters
Cody Kommers, Eamon Duede, Julia Gordon +6
AI-generated "slop" is often seen as digital pollution. We argue that this dismissal of the topic risks missing important aspects of AI Slop that deserve rigorous study. AI Slop se…
cs.CL2025
Ground Truth Generation for Multilingual Historical NLP using LLMs
Clovis Gladstone, Zhao Fang, Spencer Dean Stewart
Historical and low-resource NLP remains challenging due to limited annotated data and domain mismatches with modern, web-sourced corpora. This paper outlines our work in using larg…
cs.CL2025
A Comparative Analysis of Word Segmentation, Part-of-Speech Tagging, and Named Entity Recognition for Historical Chinese Sources, 1900-1950
Zhao Fang, Liang-Chun Wu, Xuening Kong +1
This paper compares large language models (LLMs) and traditional natural language processing (NLP) tools for performing word segmentation, part-of-speech (POS) tagging, and named e…