16 citations · 38 across the 7 of their papers we have counts for
9 papers
A Benchmark Corpus for the Detection of Automatically Generated Text in Academic Publications
Vijini Liyanage, Davide Buscaldi, Adeline Nazarenko
Automatic text generation based on neural language models has achieved performance levels that make the generated text almost indistinguishable from those written by humans. Despit…
A Robust Linguistic Platform for Efficient and Domain specific Web Content Analysis
Thierry Hamon, Adeline Nazarenko, Thierry Poibeau +2
Web semantic access in specific domains calls for specialized search engines with enhanced semantic querying and indexing capacities, which pertain both to information retrieval (I…
Ontologies and Information Extraction
Claire Nédellec, Adeline Nazarenko
This report argues that, even in the simplest cases, IE is an ontology-driven process. It is not a mere text filtering method based on simple pattern matching and keywords, because…
The ALVIS Format for Linguistically Annotated Documents
Adeline Nazarenko, Erick Alphonse, Julien Derivière +3
The paper describes the ALVIS annotation format designed for the indexing of large collections of documents in topic-specific search engines. This paper is exemplified on the biolo…
Event-based Information Extraction for the biomedical domain: the Caderige project
Erick Alphonse, Sophie Aubin, Philippe Bessières +9
This paper gives an overview of the Caderige project. This project involves teams from different areas (biology, machine learning, natural language processing) in order to develop…
Using NLP to build the hypertextuel network of a back-of-the-book index
Touria Aït El Mekki, Adeline Nazarenko
Relying on the idea that back-of-the-book indexes are traditional devices for navigation through large documents, we have developed a method to build a hypertextual network that he…