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
Research stays
Service: COVID-19 in Twitter México · UNAM Posgraduate adviser · UNAM Social Service Program · NLP Summer School 2020 · MEX-A3T Workshop 2020 ·
Students seeking mentoring in Natural Language Processing may contact me to discuss the possibility. I work closely with the Linguistic Ingeniering group.
Ph.D. Students