International audienceIn sensitive domains, the sharing of corpora is restricted due to confidentiality, copyrights, or trade secrets. Automatic text generation can help alleviate these issues by producing synthetic texts that mimic the linguistic properties of real documents while preserving confidentiality. In this study, we assess the usability of synthetic corpus as a substitute training corpus for clinical information extraction. Our goal is to automatically produce a clinical case corpus annotated with clinical entities and to evaluate it for a named entity recognition (NER) task. We use two auto-regressive neural models partially or fully trained on generic French texts and fine-tuned on clinical cases to produce a corpus of syntheti...
International audienceA vast amount of crucial information about patients resides solely in unstruct...
International audienceA vast amount of crucial information about patients resides solely in unstruct...
Background: Named entity recognition (NER) systems are commonly built using supervised methods that ...
International audienceIn sensitive domains, the sharing of corpora is restricted due to confidential...
International audienceIn sensitive domains, the sharing of corpora is restricted due to confidential...
International audienceIn sensitive domains, the sharing of corpora is restricted due to confidential...
International audienceIn sensitive domains, the sharing of corpora is restricted due to confidential...
International audienceIn sensitive domains, the sharing of corpora is restricted due to confidential...
A major hurdle in the development of natural language processing (NLP) methods for Electronic Health...
International audienceA vast amount of crucial information about patients resides solely in unstruct...
International audienceA vast amount of crucial information about patients resides solely in unstruct...
International audienceA vast amount of crucial information about patients resides solely in unstruct...
International audienceA vast amount of crucial information about patients resides solely in unstruct...
International audienceA vast amount of crucial information about patients resides solely in unstruct...
International audienceA vast amount of crucial information about patients resides solely in unstruct...
International audienceA vast amount of crucial information about patients resides solely in unstruct...
International audienceA vast amount of crucial information about patients resides solely in unstruct...
Background: Named entity recognition (NER) systems are commonly built using supervised methods that ...
International audienceIn sensitive domains, the sharing of corpora is restricted due to confidential...
International audienceIn sensitive domains, the sharing of corpora is restricted due to confidential...
International audienceIn sensitive domains, the sharing of corpora is restricted due to confidential...
International audienceIn sensitive domains, the sharing of corpora is restricted due to confidential...
International audienceIn sensitive domains, the sharing of corpora is restricted due to confidential...
A major hurdle in the development of natural language processing (NLP) methods for Electronic Health...
International audienceA vast amount of crucial information about patients resides solely in unstruct...
International audienceA vast amount of crucial information about patients resides solely in unstruct...
International audienceA vast amount of crucial information about patients resides solely in unstruct...
International audienceA vast amount of crucial information about patients resides solely in unstruct...
International audienceA vast amount of crucial information about patients resides solely in unstruct...
International audienceA vast amount of crucial information about patients resides solely in unstruct...
International audienceA vast amount of crucial information about patients resides solely in unstruct...
International audienceA vast amount of crucial information about patients resides solely in unstruct...
Background: Named entity recognition (NER) systems are commonly built using supervised methods that ...