Cover Image

Is text normalization relevant for classifying medieval charters?

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Atzenhofer-Baumgartner, Florian, Kovács, Tamás
Format:	Preprint
Published:	2024
Subjects:	Computation and Language Information Retrieval
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

What Do Humanities Scholars Need? A User Model for Recommendation in Digital Archives
by: Atzenhofer-Baumgartner, Florian, et al.
Published: (2026)

A Multistakeholder Approach to Value-Driven Co-Design of Recommender System Evaluation Metrics in Digital Archives
by: Atzenhofer-Baumgartner, Florian, et al.
Published: (2025)

Specialized text classification: an approach to classifying Open Banking transactions
by: TA, Duc Tuyen, et al.
Published: (2025)

Value Identification in Multistakeholder Recommender Systems for Humanities and Historical Research: The Case of the Digital Archive Monasterium.net
by: Atzenhofer-Baumgartner, Florian, et al.
Published: (2024)

Challenges in Implementing a Recommender System for Historical Research in the Humanities
by: Atzenhofer-Baumgartner, Florian, et al.
Published: (2024)

$\text{R}^2\text{R}$: A Route-to-Rerank Post-Training Framework for Multi-Domain Decoder-Only Rerankers
by: Wang, Xinyu, et al.
Published: (2025)

Facilitating phenotyping from clinical texts: the medkit library
by: Neuraz, Antoine, et al.
Published: (2024)

LLM-as-classifier: Semi-Supervised, Iterative Framework for Hierarchical Text Classification using Large Language Models
by: You, Doohee, et al.
Published: (2025)

Long document summarization using page specific target text alignment and distilling page importance
by: Devi, Pushpa, et al.
Published: (2025)

Evaluation of the phi-3-mini SLM for identification of texts related to medicine, health, and sports injuries
by: Brogly, Chris, et al.
Published: (2025)

PeerQA: A Scientific Question Answering Dataset from Peer Reviews
by: Baumgärtner, Tim, et al.
Published: (2025)

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

An Analysis of Datasets, Metrics and Models in Keyphrase Generation
by: Boudin, Florian, et al.
Published: (2025)

Enhancing Answer Attribution for Faithful Text Generation with Large Language Models
by: Vladika, Juraj, et al.
Published: (2024)

WikiHint: A Human-Annotated Dataset for Hint Ranking and Generation
by: Mozafari, Jamshid, et al.
Published: (2024)

Self-Compositional Data Augmentation for Scientific Keyphrase Generation
by: Houbre, Mael, et al.
Published: (2024)

Millions of $\text{GeAR}$-s: Extending GraphRAG to Millions of Documents
by: Shen, Zhili, et al.
Published: (2025)

Causality extraction from medical text using Large Language Models (LLMs)
by: Gopalakrishnan, Seethalakshmi, et al.
Published: (2024)

Classification performance and reproducibility of GPT-4 omni for information extraction from veterinary electronic health records
by: Wulcan, Judit M, et al.
Published: (2024)

Evaluating Large Language Models in Semantic Parsing for Conversational Question Answering over Knowledge Graphs
by: Schneider, Phillip, et al.
Published: (2024)

Recent advances in text embedding: A Comprehensive Review of Top-Performing Methods on the MTEB Benchmark
by: Cao, Hongliu
Published: (2024)

Automated Generation of Research Workflows from Academic Papers: A Full-text Mining Framework
by: Zhang, Heng, et al.
Published: (2025)

LMK > CLS: Landmark Pooling for Dense Embeddings
by: Doshi, Meet, et al.
Published: (2026)

Comparing Knowledge Sources for Open-Domain Scientific Claim Verification
by: Vladika, Juraj, et al.
Published: (2024)

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

MedSEBA: Synthesizing Evidence-Based Answers Grounded in Evolving Medical Literature
by: Vladika, Juraj, et al.
Published: (2025)

Granite Embedding R2 Models
by: Awasthy, Parul, et al.
Published: (2025)

Survey: Understand the challenges of MachineLearning Experts using Named EntityRecognition Tools
by: Freund, Florian, et al.
Published: (2025)

Query Attribute Modeling: Improving search relevance with Semantic Search and Meta Data Filtering
by: Menon, Karthik, et al.
Published: (2025)

Granite Embedding Models
by: Awasthy, Parul, et al.
Published: (2025)

Benchmarking pre-trained text embedding models in aligning built asset information
by: Shahinmoghadam, Mehrzad, et al.
Published: (2024)

Unmasking Superspreaders: Data-Driven Approaches for Identifying and Comparing Key Influencers of Conspiracy Theories on X.com
by: Kramer, Florian, et al.
Published: (2026)

From Topology to Retrieval: Decoding Embedding Spaces with Unified Signatures
by: Rottach, Florian, et al.
Published: (2025)

CodeTaxo: Enhancing Taxonomy Expansion with Limited Examples via Code Language Prompts
by: Zeng, Qingkai, et al.
Published: (2024)

Ask Optimal Questions: Aligning Large Language Models with Retriever's Preference in Conversation
by: Yoon, Chanwoong, et al.
Published: (2024)

Bootstrap Your Own Context Length
by: Wang, Liang, et al.
Published: (2024)

Bridging Personalization and Control in Scientific Personalized Search
by: Mysore, Sheshera, et al.
Published: (2024)

Streamlining Systematic Reviews: A Novel Application of Large Language Models
by: Trad, Fouad, et al.
Published: (2024)

Item-Language Model for Conversational Recommendation
by: Yang, Li, et al.
Published: (2024)

A Text is Worth Several Tokens: Text Embedding from LLMs Secretly Aligns Well with The Key Tokens
by: Nie, Zhijie, et al.
Published: (2024)