Oscar Lithgow Serrano

Oscar William Lithgow is a postdoctoral researcher in the Natural Language Processing (NLP) group at IDSIA. His research interests lie in the area of semantic similarity, entailment and literature enrichment. Oscar completed his Ph.D. in Computer Science (CS), with the main topic of semantic similarity, at the National Autonomous University of Mexico (UNAM) and an MPhil in CS with a specialty in NLP at the University of Cambridge. During all his Ph.D. he collaborated with the Center of Genomic Sciences in México applying NLP techniques to the curation of genomic literature within a project funded by the US National Institute of Health (NIH).

• Lithgow-Serrano O, Collado-Vides J. In the pursuit of semantic similarity for literature on microbial transcriptional regulation. Pinto D, Singh V, editors. J Intell Fuzzy Syst [Internet]. 2019;36:4777–86. Available from: https://www.medra.org/servlet/aliasResolver?alias=iospress&doi=10.3233/JIFS-1790262.
• Lithgow-Serrano O, Gama-Castro S, Ishida-Gutiérrez C, Mejía-Almonte C, Tierrafría VH, Martínez-Luna S, et al. Similarity corpus on microbial transcriptional regulation. J Biomed Semantics [Internet]. Cold Spring Harbor Laboratory; 2019 [cited 2017 Nov 22];10:8. Available from: https://jbiomedsem.biomedcentral.com/articles/10.1186/s13326-019-0200-x3.
• Rinaldi F, Lithgow O, Gama-Castro S, Solano H, Lopez A, Rascado LJM, et al. Strategies towards digital and semi-automated curation in RegulonDB. Database [Internet]. 2017;2017:1–11. Available from: https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5467572/4.
• Lithgow Serrano OW, Meza Ruiz IV, Orozco Camacho AM, Garcia Flores J, Buscaldi D. LIPN-IIMAS at SemEval-2016 Task 1: Random Forest Regression Experiments on Align-and-Differentiate and Word Embeddings penalizing strategies. Proc 10th Int Work Semant Eval [Internet]. San Diego, California: Association for Computational Linguistics; 2016. p. 726–31. Available from: http://www.aclweb.org/anthology/S16-11125.

E-Mail: oscar AT idsia.ch

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