Presentación en IDEAL 2008

Building a Spanish MMTx by using Automatic Translation and Biomedical Ontologies Francisco Carrero 1,2 ; José Carlos Cortizo 1,2 ; José Mª Gómez 3 1 Wipley, Social Gaming Platform http://www.wipley.com 2 Universidad Europea de Madrid http://www.esp.uem.es/gsi 3 Optenet http://www.esp.uem.es/gsi

Outline The MIRCAT project The challenge English MetaMap, a big effort Approaching a Spanish MetaMap Experiments Discussion of the Results and Future Work Francisco Carrero Garcia

The MIRCAT Project The Interface Francisco Carrero Garcia

The MIRCAT Project System’s Architecture Francisco Carrero Garcia

The Challenge Our Goal English docs Medical record Spanish docs Francisco Carrero Garcia

The Challenge The problem We can extract UMLS concepts from English texts using MetaMap... ...but there is no Spanish version of MetaMap Is it difﬁcult to construct a tool like MetaMap? Francisco Carrero Garcia

English MetaMap A big Effort ∼3 years!! Francisco Carrero Garcia

Approaching Spanish MetaMap Two Main Approaches Considered Francisco Carrero Garcia

Approaching Spanish MetaMap Our Approach: Translation and Reuse Optional Francisco Carrero Garcia

Experimental Design Text Collections MedLine Plus medical News http://www.nlm.nih.gov/medlineplus/newsbydate.html Excellent online resource 2000 news, some in English, some in Spanish 600 available in both languages Francisco Carrero Garcia

Experiments Experimental Design MetaMap extracts concepts, allowing multiple representations A => Using compound concepts B => simple concepts 1 => resolves ambiguity by adding all the concepts 2 => ignores ambiguities by choosing the ﬁrst possibility 4 representations: A1, A2, B1, B2 Francisco Carrero Garcia

Experiments Filtering Data representations containing a lot of features do not usually perform very well in text tasks Many classiﬁers degrade in prediction accuracy when faced with many irrelevant features or redundant/correlated ones (“curse of dimensionality”) We apply Zipf’s Law to ﬁlter the attributes Francisco Carrero Garcia

Experiments Results Number of concepts for each representation Francisco Carrero Garcia

Experiments Results Average Similarities Francisco Carrero Garcia

Experiments Results Last Experiments (not in IDEAL paper) Francisco Carrero Garcia

Discussion of the Results Translation The worst results (similarity) are achieved with the most complex (near to humans) representation: A1 B1 is less complex and produces the best results => Our model seems to be more suitable as a plain bag-of- concepts representation Similar to bag-of-words representation, widely used in text processing tasks Francisco Carrero Garcia

Discussion of the Results Classification All results are comparable to classification on original English texts In some cases, are even better Best results using A2+Zipf, +7.8% in AUC UNMKD representations never achieves worse classifications than English Francisco Carrero Garcia

Conclussions and Future Work The “easy way” to construct a Spanish MetaMap is promising Google Translation seems a good tool to adapt English resources to any other languages (like Spanish) We should try other translation tools We are working on applying this approach to other text tasks (like Information Retrieval and Filtering) Francisco Carrero Garcia

Ending... Thank you very much for your attention Francisco Carrero Garcia

Any Question? Francisco Carrero Garcia

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Presentación en IDEAL 2008

by José Carlos Cortizo Pérez on Oct 29, 2008

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Presentación en IDEAL 2008 — Presentation Transcript