I hold PhD in Computer Science with the focus area of Natural Language Processing, also known as Computational Linguistics. Generally speaking, I work on natural language understanding employing various text classification approaches. This includes answer quality prediction as an (question, answer) pair classification problem, short text classification into multi-label categories for e-commerce search queries, fake news detection as text classification problem, as well as abusive language detection in tweets in medium-resourced languages (Urdu). The methods range from traditional ML to BERT-based models.
Additionally, I have work on semantic similarity and text representation via embeddings.
Previously, I also worked on natural object naming in images, image classification, automated fact detection/open information extraction, text quality evaluation (informativeness measure), semantic ontologies, and semiotics.
Learn more http://alisazhila.com
Contact Alisa at alisa /dot/ zhila at-sign ronininstitute “dot” org