Biomedical Concept Recognition in French Text Using Automatic Translation of English Terms
نویسندگان
چکیده
We addressed the task to automatically recognize and normalize entities in a French medical corpus. To increase the coverage of our initial French terminology, English terms were translated into French by two different automatic translators. Indexing with a terminology that contained the intersection of the translated terms in combination with several post-processing steps to reduce the number of false-positive detections, gave the best performance results.
منابع مشابه
BIOTEX: A system for Biomedical Terminology Extraction, Ranking, and Validation
Term extraction is an essential task in domain knowledge acquisition. Although hundreds of terminologies and ontologies exist in the biomedical domain, the language evolves faster than our ability to formalize and catalog it. We may be interested in the terms and words explicitly used in our corpus in order to index or mine this corpus or just to enrich currently available terminologies and ont...
متن کاملDriven Decoding for machine translation (Vers un décodage guidé pour la traduction automatique) [in French]
Driven Decoding for machine translation Recently, the concept of driven decoding (DD), has been sucessfully applied to the automatic speech recognition (speech-to-text) task : an auxiliary transcription guide the decoding process. There is a strong interest in applying this concept to statistical machine translation (SMT). This paper presents our approach on this topic. Our first attempt in dri...
متن کاملA multilingual gold-standard corpus for biomedical concept recognition: the Mantra GSC
OBJECTIVE To create a multilingual gold-standard corpus for biomedical concept recognition. MATERIALS AND METHODS We selected text units from different parallel corpora (Medline abstract titles, drug labels, biomedical patent claims) in English, French, German, Spanish, and Dutch. Three annotators per language independently annotated the biomedical concepts, based on a subset of the Unified M...
متن کاملAutomatic Translation of Biomedical Terms by Supervised Machine Learning
In this paper, we present a simple yet efficient automatic system to translate biomedical terms. It mainly relies on a machine learning approach able to infer rewriting rules from pair of terms in two languages. Given a new term, these rules are then used to transform the initial term into its translation. Since conflicting rules may produce different translations, we also use language modeling...
متن کاملEnrichment of French Biomedical Ontologies with UMLS Concepts and Semantic Types for Biomedical Named Entity Recognition Though Ontological Semantic Annotation
Medical terminologies and ontologies are a crucial resource for semantic annotation of biomedical text. In French, there are considerably less resources and tools to use them than in English. Some terminologies from the Unified Medical Language System have been translated but often the identifiers used in the UMLS Metathesaurus, that make its huge integrated value, have been lost during the pro...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
عنوان ژورنال:
دوره شماره
صفحات -
تاریخ انتشار 2015