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 néoplasie 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.- Anthology ID:
- L16-1725
- Volume:
- Proceedings of the Tenth International Conference on Language Resources and Evaluation (LREC'16)
- Month:
- May
- Year:
- 2016
- Address:
- Portorož, Slovenia
- Editors:
- Nicoletta Calzolari, Khalid Choukri, Thierry Declerck, Sara Goggi, Marko Grobelnik, Bente Maegaard, Joseph Mariani, Helene Mazo, Asuncion Moreno, Jan Odijk, Stelios Piperidis
- Venue:
- LREC
- SIG:
- Publisher:
- European Language Resources Association (ELRA)
- Note:
- Pages:
- 4578–4582
- Language:
- URL:
- https://aclanthology.org/L16-1725
- DOI:
- Cite (ACL):
- Mathieu Lafourcade and Lionel Ramadier. 2016. Semantic Relation Extraction with Semantic Patterns Experiment on Radiology Reports. In Proceedings of the Tenth International Conference on Language Resources and Evaluation (LREC'16), pages 4578–4582, Portorož, Slovenia. European Language Resources Association (ELRA).
- Cite (Informal):
- Semantic Relation Extraction with Semantic Patterns Experiment on Radiology Reports (Lafourcade & Ramadier, LREC 2016)
- PDF:
- https://preview.aclanthology.org/add_acl24_videos/L16-1725.pdf