Name
Abstract | ||
|---|---|---|
This work presents a practical system for indexing terms and relations from French radiology reports, called IMAIOS. In this paper, we present how semantic relations (causes, consequences, symptoms, locations, parts…) between medical terms can be extracted. For this purpose, we handcrafted some linguistic patterns from on a subset of our radiology report corpora. As semantic patterns (de (of)) may be too general or ambiguous, semantic constraints have been added. For instance, in the sentence neoplasie du sein (neoplasm of breast) the system knowing neoplasm as a disease and breast as an anatomical location, identify the relation as being a location: neoplasm r-lieu breast. An evaluation of the effect of semantic constraints is proposed. |
Year | Venue | Field |
|---|---|---|
2016 | LREC | Anatomical location,Information retrieval,Computer science,Search engine indexing,Semantic relation,Natural language processing,Artificial intelligence,Radiology,Sentence,Relationship extraction,Radiology report |
DocType | Citations | PageRank |
Conference | 0 | 0.34 |
References | Authors | |
13 | 2 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Mathieu Lafourcade | 1 | 120 | 22.29 |
| Lionel Ramadier | 2 | 1 | 2.42 |