I'm a first-year PhD student at UC Berkeley School of Information and BAIR working on natural language processing (NLP) and computational social science. I'm supported by a NSF Graduate Research Fellowship and I'm advised by David Bamman.
I'm currently interested in a variety of topics, including the behavior of online communities, sociolinguistic variation, commonsense reasoning, and computational semantics. I'm also collaborating with Linguistics PhD student Dora Demszky in the Stanford NLP group on analyzing textbook content. During summer 2019 I taught AI4ALL at Stanford and Berkeley, mentoring NLP research projects.
I have a M.S. in Computer Science (artificial intelligence) and B.S. in Symbolic Systems (≈ cognitive science) from Stanford. In the past I've worked in the Data Science Lab with Robert West and the SNAP Group with David Jurgens. I'm passionate about education and increasing diversity in science, technology, engineering, and math (STEM). Check out these Medium posts about teaching NLP.
I publish with my name backwards, so citations should refer to "L. Lucy".
Using sentiment induction to understand variation in gendered online communities.
Li Lucy, Julia Mendelsohn.
We examine gender as a social variable on Reddit, and how community-specific sentiment can be a useful indicator of social meaning. Link. Poster.