I am faculty at Universidad Nacional Autónoma de México (UNAM) in the Instituto de Investigaciones en Matemáticas Aplicadas y Sistemas (IIMAS). My research areas are natural language processing, computational linguistics and information retrieval; specifically applications, search for answers, semantic similarity, attribution of authorship and author profiling. During my Ph.D. I introduced text representation structures based on graphs to facilitate NLP tasks and a new method to calculate the semantic similarity between texts, called soft cosine similarity, which considers the semantic information of characteristics such as words, n-grams, POS tags, etc.
Dr. Helena Gómez Adorno is a professor of Artificial Intelligence at IIMAS-UNAM. Among her research interests areas are natural language processing, computational linguistics, and information retrieval; specifically, question answering, semantic similarity, authorship attribution, and author profiling. Lead a research and development team to implement intelligent systems with the help of machine learning and neural networks.
Awards and honours
Students seeking mentoring in Natural Language Processing may contact me to discuss the possibility. I work closely with the Linguistic Ingeniering group.