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Found 11 papers, 4 papers with code
Cross-lingual and Cross-domain Transfer Learning for Automatic Term Extraction from Low Resource Data
Automatic Term Extraction (ATE) is a key component for domain knowledge understanding and an important basis for further natural language processing applications.
Adaptation of Biomedical and Clinical Pretrained Models to French Long Documents: A Comparative Study
Recently, pretrained language models based on BERT have been introduced for the French biomedical domain.
How Important Is Tokenization in French Medical Masked Language Models?
Subword tokenization has become the prevailing standard in the field of natural language processing (NLP) over recent years, primarily due to the widespread utilization of pre-trained language models.
DrBenchmark: A Large Language Understanding Evaluation Benchmark for French Biomedical Domain
This limitation hampers the evaluation of the latest French biomedical models, as they are either assessed on a minimal number of tasks with non-standardized protocols or evaluated using general downstream tasks.
A Large-Scale Dataset for Biomedical Keyphrase Generation
Keyphrase generation is the task consisting in generating a set of words or phrases that highlight the main topics of a document.
Hierarchical Text Segmentation for Medieval Manuscripts
In this paper, we address the segmentation of books of hours, Latin devotional manuscripts of the late Middle Ages, that exhibit challenging issues: a complex hierarchical entangled structure, variable content, noisy transcriptions with no sentence markers, and strong correlations between sections for which topical information is no longer sufficient to draw segmentation boundaries.
TermEval 2020: TALN-LS2N System for Automatic Term Extraction
Automatic terminology extraction is a notoriously difficult task aiming to ease effort demanded to manually identify terms in domain-specific corpora by automatically providing a ranked list of candidate terms.
Towards Automatic Thesaurus Construction and Enrichment.
Thesaurus construction with minimum human efforts often relies on automatic methods to discover terms and their relations.
A study of semantic projection from single word terms to multi-word terms in the environment domain
The semantic projection method is often used in terminology structuring to infer semantic relations between terms.
Mod\'elisation unifi\'ee du document et de son domaine pour une indexation par termes-cl\'es libre et contr\^ol\'ee (Unified document and domain-specific model for keyphrase extraction and assignment )
Dans cet article, nous nous int{\'e}ressons {\`a} l{'}indexation de documents de domaines de sp{\'e}cialit{\'e} par l{'}interm{\'e}diaire de leurs termes-cl{\'e}s. Plus particuli{\`e}rement, nous nous int{\'e}ressons {\`a} l{'}indexation telle qu{'}elle est r{\'e}alis{\'e}e par les documentalistes de biblioth{\`e}ques num{\'e}riques.
