activity
20092026
most citedQuestions & Answers for TEI Newcomers

9 citations · 9 across the 6 of their papers we have counts for

collaborators

6 papers

cs.CL2026

Where Does Authorship Signal Emerge in Encoder-Based Language Models?

Francis Kulumba, Guillaume Vimont, Laurent Romary +1

Authorship attribution models fine-tuned with the same pretrained encoder, data, and loss can differ four-fold in performance depending only on their scoring mechanism. We use mech…

cs.DL2025

Making Software FAIR: A machine-assisted workflow for the research software lifecycle

Petr Knoth, Laurent Romary, Patrice Lopez +7

A key issue hindering discoverability, attribution and reusability of open research software is that its existence often remains hidden within the manuscript of research papers. Fo…

cs.CV2024

Diachronic Document Dataset for Semantic Layout Analysis

Thibault Clérice, Juliette Janes, Hugo Scheithauer +5

We present a novel, open-access dataset designed for semantic layout analysis, built to support document recreation workflows through mapping with the Text Encoding Initiative (TEI…

cs.DL2024

HALvest-Contrastive: Retrieval-Like Authorship Attribution with Patch-Level Late Interaction

Francis Kulumba, Wissam Antoun, Guillaume Vimont +2

Authorship attribution asks whether two pieces of text share a writer, but topical confound makes the task deceptively easy: two authors covering the same topic may look more alike…

cs.DL2011

Scholarly Communication

Laurent Romary

The chapter tackles the role of scholarly publication in the research process (quality, preservation) and looks at the consequences of new information technologies in the organizat…

cs.DL2009★ 9 cited

Questions & Answers for TEI Newcomers

Laurent Romary

This paper provides an introduction to the Text Encoding Initia-tive (TEI), focused at bringing in newcomers who have to deal with a digital document project and are looking at the…