The identification of semantically similar linguistic expressions despite their formal difference is an important task within NLP applications (information retrieval and extraction, terminology structuring...) We propose to detect the semantic relatedness between biomedical terms from the pharmacovigilance area. Two approaches are exploited: semantic distance within structured resources and terminology structuring methods applied to a raw list of terms. We compare these methods and study their complementarity. The results are evaluated against the reference pharmacovigilance data and manually by an expert.
['Marie Dupuch', 'Laëtitia Dupuch', 'Thierry Hamon', 'Natalia Grabar']
Semantic distance and terminology structuring methods for the detection of semantically close terms