Summary of the paper
| Title | Dependency parsing for interaction detection in pharmacogenomics |
|---|---|
| Authors | Gerold Schneider, Fabio Rinaldi and Simon Clematide |
| Abstract | We give an overview of our approach to the extraction of interactions between pharmacogenomic entities like drugs, genes and diseases and suggest classes of interaction types driven by data from PharmGKB and partly following the top level ontology WordNet and biomedical types from BioNLP. Our text mining approach to the extraction of interactions is based on syntactic analysis. We use syntactic analyses to explore domain events and to suggest a set of interaction labels for the pharmacogenomics domain. |
| Topics | Text mining, Information Extraction, Information Retrieval |
Full paper  |
Dependency parsing for interaction detection in pharmacogenomics |
| Bibtex | @InProceedings{SCHNEIDER12.1052, author = {Gerold Schneider and Fabio Rinaldi and Simon Clematide}, title = {Dependency parsing for interaction detection in pharmacogenomics}, booktitle = {Proceedings of the Eight International Conference on Language Resources and Evaluation (LREC'12)}, year = {2012}, month = {may}, date = {23-25}, address = {Istanbul, Turkey}, editor = {Nicoletta Calzolari (Conference Chair) and Khalid Choukri and Thierry Declerck and Mehmet Uğur Doğan and Bente Maegaard and Joseph Mariani and Asuncion Moreno and Jan Odijk and Stelios Piperidis}, publisher = {European Language Resources Association (ELRA)}, isbn = {978-2-9517408-7-7}, language = {english} } |