28 citations · 43 across the 4 of their papers we have counts for
5 papers
Navigating the Shadows: Unveiling Effective Disturbances for Modern AI Content Detectors
Ying Zhou, Ben He, Le Sun
With the launch of ChatGPT, large language models (LLMs) have attracted global attention. In the realm of article writing, LLMs have witnessed extensive utilization, giving rise to…
Decorate the Examples: A Simple Method of Prompt Design for Biomedical Relation Extraction
Hui-Syuan Yeh, Thomas Lavergne, Pierre Zweigenbaum
Relation extraction is a core problem for natural language processing in the biomedical domain. Recent research on relation extraction showed that prompt-based learning improves th…
CharacterBERT: Reconciling ELMo and BERT for Word-Level Open-Vocabulary Representations From Characters
Hicham El Boukkouri, Olivier Ferret, Thomas Lavergne +3
Due to the compelling improvements brought by BERT, many recent representation models adopted the Transformer architecture as their main building block, consequently inheriting the…
DiaBLa: A Corpus of Bilingual Spontaneous Written Dialogues for Machine Translation
Rachel Bawden, Sophie Rosset, Thomas Lavergne +1
We present a new English-French test set for the evaluation of Machine Translation (MT) for informal, written bilingual dialogue. The test set contains 144 spontaneous dialogues (5…
Efficient Learning of Sparse Conditional Random Fields for Supervised Sequence Labelling
Nataliya Sokolovska, Thomas Lavergne, Olivier Cappé +1
Conditional Random Fields (CRFs) constitute a popular and efficient approach for supervised sequence labelling. CRFs can cope with large description spaces and can integrate some f…