Cover Image

An Improved Method for Class-specific Keyword Extraction: A Case Study in the German Business Registry

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Meisenbacher, Stephen, Schopf, Tim, Yan, Weixin, Holl, Patrick, Matthes, Florian
Format:	Preprint
Published:	2024
Subjects:	Computation and Language
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Thinking Outside of the Differential Privacy Box: A Case Study in Text Privatization with Language Model Prompting
by: Meisenbacher, Stephen, et al.
Published: (2024)

Just Rewrite It Again: A Post-Processing Method for Enhanced Semantic Similarity and Privacy Preservation of Differentially Private Rewritten Text
by: Meisenbacher, Stephen, et al.
Published: (2024)

NLP-KG: A System for Exploratory Search of Scientific Literature in Natural Language Processing
by: Schopf, Tim, et al.
Published: (2024)

With Privacy, Size Matters: On the Importance of Dataset Size in Differentially Private Text Rewriting
by: Meisenbacher, Stephen, et al.
Published: (2025)

A Collocation-based Method for Addressing Challenges in Word-level Metric Differential Privacy
by: Meisenbacher, Stephen, et al.
Published: (2024)

A Case Study on the Impact of Anonymization Along the RAG Pipeline
by: Bodea, Andreea-Elena, et al.
Published: (2026)

Towards A Structured Overview of Use Cases for Natural Language Processing in the Legal Domain: A German Perspective
by: Vladika, Juraj, et al.
Published: (2024)

A Systematic Exploration of Text Decomposition and Budget Distribution in Differentially Private Text Obfuscation
by: Meisenbacher, Stephen, et al.
Published: (2026)

Enterprise Use Cases Combining Knowledge Graphs and Natural Language Processing
by: Schneider, Phillip, et al.
Published: (2024)

1-Diffractor: Efficient and Utility-Preserving Text Obfuscation Leveraging Word-Level Metric Differential Privacy
by: Meisenbacher, Stephen, et al.
Published: (2024)

Leveraging Semantic Triples for Private Document Generation with Local Differential Privacy Guarantees
by: Meisenbacher, Stephen, et al.
Published: (2025)

Lexical Substitution is not Synonym Substitution: On the Importance of Producing Contextually Relevant Word Substitutes
by: Vladika, Juraj, et al.
Published: (2025)

On the Impact of Noise in Differentially Private Text Rewriting
by: Meisenbacher, Stephen, et al.
Published: (2025)

LLM-as-a-Judge for Privacy Evaluation? Exploring the Alignment of Human and LLM Perceptions of Privacy in Textual Data
by: Meisenbacher, Stephen, et al.
Published: (2025)

Efficient Few-shot Learning for Multi-label Classification of Scientific Documents with Many Classes
by: Schopf, Tim, et al.
Published: (2024)

A Comparative Analysis of Word-Level Metric Differential Privacy: Benchmarking The Privacy-Utility Trade-off
by: Meisenbacher, Stephen, et al.
Published: (2024)

Spend Your Budget Wisely: Towards an Intelligent Distribution of the Privacy Budget in Differentially Private Text Rewriting
by: Meisenbacher, Stephen, et al.
Published: (2025)

DP-MLM: Differentially Private Text Rewriting Using Masked Language Models
by: Meisenbacher, Stephen, et al.
Published: (2024)

Investigating User Perspectives on Differentially Private Text Privatization
by: Meisenbacher, Stephen, et al.
Published: (2025)

The Double-edged Sword of LLM-based Data Reconstruction: Understanding and Mitigating Contextual Vulnerability in Word-level Differential Privacy Text Sanitization
by: Meisenbacher, Stephen, et al.
Published: (2025)

SoK: Privacy Risks and Mitigations in Retrieval-Augmented Generation Systems
by: Bodea, Andreea-Elena, et al.
Published: (2026)

When Explainability Meets Privacy: An Investigation at the Intersection of Post-hoc Explainability and Differential Privacy in the Context of Natural Language Processing
by: Dhaini, Mahdi, et al.
Published: (2025)

AGB-DE: A Corpus for the Automated Legal Assessment of Clauses in German Consumer Contracts
by: Braun, Daniel, et al.
Published: (2024)

LLMs for Legal Subsumption in German Employment Contracts
by: Wardas, Oliver, et al.
Published: (2025)

AI-assisted German Employment Contract Review: A Benchmark Dataset
by: Wardas, Oliver, et al.
Published: (2025)

DocIE@XLLM25: In-Context Learning for Information Extraction using Fully Synthetic Demonstrations
by: Popovič, Nicholas, et al.
Published: (2025)

Building a Custom Taxonomy of AI Skills and Tasks from the Ground Up with Job Postings
by: Meisenbacher, Stephen, et al.
Published: (2026)

Attribution, Citation, and Quotation: A Survey of Evidence-based Text Generation with Large Language Models
by: Schreieder, Tobias, et al.
Published: (2025)

Privacy Starts with UI: Privacy Patterns and Designer Perspectives in UI/UX Practice
by: Maloku, Anxhela, et al.
Published: (2026)

Improving Health Question Answering with Reliable and Time-Aware Evidence Retrieval
by: Vladika, Juraj, et al.
Published: (2024)

Is this Idea Novel? An Automated Benchmark for Judgment of Research Ideas
by: Schopf, Tim, et al.
Published: (2026)

Correcting Hallucinations in News Summaries: Exploration of Self-Correcting LLM Methods with External Knowledge
by: Vladika, Juraj, et al.
Published: (2025)

A Knowledge Graph Approach for Exploratory Search in Research Institutions
by: Schopf, Tim, et al.
Published: (2023)

Extracting O*NET Features from the NLx Corpus to Build Public Use Aggregate Labor Market Data
by: Meisenbacher, Stephen, et al.
Published: (2025)

Improving Performance of Automatic Keyword Extraction (AKE) Methods Using PoS-Tagging and Enhanced Semantic-Awareness
by: Altuncu, Enes, et al.
Published: (2022)

SEKE: Specialised Experts for Keyword Extraction
by: Martinc, Matej, et al.
Published: (2024)

Encoded but Not Routed: Explaining the Table-Chart Gap in Scientific Claim Verification
by: Kumar, Sunisth, et al.
Published: (2026)

Conversational Exploratory Search of Scholarly Publications Using Knowledge Graphs
by: Schneider, Phillip, et al.
Published: (2024)

On the Influence of Context Size and Model Choice in Retrieval-Augmented Generation Systems
by: Vladika, Juraj, et al.
Published: (2025)

JaccDiv: A Metric and Benchmark for Quantifying Diversity of Generated Marketing Text in the Music Industry
by: Afzal, Anum, et al.
Published: (2025)