惯性聚合 高效追踪和阅读你感兴趣的博客、新闻、科技资讯
阅读原文 在惯性聚合中打开

推荐订阅源

有赞技术团队
有赞技术团队
美团技术团队
博客园 - 司徒正美
freeCodeCamp Programming Tutorials: Python, JavaScript, Git & More
阮一峰的网络日志
阮一峰的网络日志
S
SegmentFault 最新的问题
博客园_首页
雷峰网
雷峰网
V
V2EX
The Cloudflare Blog
博客园 - 三生石上(FineUI控件)
量子位
Last Week in AI
Last Week in AI
人人都是产品经理
人人都是产品经理
爱范儿
爱范儿
奇客Solidot–传递最新科技情报
奇客Solidot–传递最新科技情报
钛媒体:引领未来商业与生活新知
钛媒体:引领未来商业与生活新知
博客园 - 聂微东
V
Visual Studio Blog
Hugging Face - Blog
Hugging Face - Blog
博客园 - 【当耐特】
Jina AI
Jina AI
月光博客
月光博客
L
LangChain Blog

Paper Index on ACL Anthology

A Bounded Coordination-Support Capability for Multi-Party Settings: Task-State Monitoring in Firefighter Incident Command A Dataset of Latin Etymologies Extracted from Wiktionary An Efficient Approach for Answering Not Readily Attainable Questions for RAG-based Applications Automated German Alt Text Generation for News Charts Call Support Copilot: A Reproducible Multimodal System for Speech Emotion Recognition, Intent Understanding, and Agent Assistance Can Large Language Models Replace Statistical Software? Code-Switching Detection in Multilingual Child Speech with SwissBERT Concept Extraction and Webb’s Depth of Knowledge: Comparing LLM Question Generation Pipelines for Educational Assessment Data Augmentation for Historical NER: A Systematic Comparison of Lexical and LLM-based Approaches Enhancing Retrieval via Cognitively Motivated Document Expansion Extending the Contact Hypothesis: Cross-Linguistic Evaluation of Religion and Nationality Bias When Prompting LLMs in German and Icelandic Extracting Article-Level Legal Dependencies from Swiss Federal Law using LLMs How Good is AI on Swiss Voting Booklets? A Multilingual OCR and Alignment Benchmark Optimizing Large Language Models for Robust Domain-Specific Text-to-SQL: From Prompting to Preference Alignment Proceedings of the 11th Edition of the Swiss Text Analytics Conference Reinforcement Learning for Latent-Space Thinking in LLMs RUMLEM: A Dictionary-Based Lemmatizer for Romansh Skill Extraction from Resumes and Job Offers across Six Languages Text vs. Phoneme Intermediates for Low-Resource Swiss German The Same Email, Signed Differently: Testing Negotiation Bias and Recommendation Stability in LLMs Which Skills Debate Reaches the Public? Comparing Scientific Literature and Media Coverage of AI and LLM Skill Impacts (2022–2025) Controlling Language and Style of Multi-lingual Generative Language Models with Control Vectors Hybrid Human-LLM Corpus Construction and LLM Evaluation for the Caused-Motion Construction Implicit and Indirect: Detecting Face-threatening and Paired Actions in Asynchronous Online Conversations Northern European Journal of Language Technology, Volume 11 A modular architecture for creating multimodal embodied agents with an episodic Knowledge Graph as an explainable and controllable long-term memory A Neural Approach to Discourse Relation Signal Detection An Analysis of Japanese Sentence-final Particle Yone: Compare Yone and Ne in Response Attribution and the discourse structure of reports Automatic Detection of the Bulgarian Evidential Renarrative
The (Possible) Use of AI Tools for Processing Texts in Jo...
2026-04-20 · via Paper Index on ACL Anthology
Abstract

This study examines the technological gaps in text-processing AI tools available to Bulgarian-language journalists and how these tools might better support journalistic practices. Through a systematic analysis of current technologies across three key domains—monitoring and information gathering, content production, and content dissemination—the research reveals significant disparities between international standards and local capabilities. While some resources exist for Bulgarian journalism, including news aggregators, translation services, these tools often lack transparency, update infrequently, or provide insufficient functionality for professional journalistic needs. Large language models (LLMs) offer promising possibilities but remain underutilised in Bulgarian newsrooms. The article provides a case study about the practical use of AI. The study recommends strategic investment in language-specific AI, targeted training, transparency standards, and ethical frameworks to improve journalistic capacity and information quality in Bulgaria, as trustworthy journalism must reach wider audiences to drown out disinformation.