Ani Nenkova facts for kids
| Alma mater | Columbia University (PhD in Computer Science) Sofia University (MS) |
|---|---|
| Scientific career | |
| Fields | Computer Science Computational Linguistics Artificial Intelligence |
| Institutions | Adobe Research University of Pennsylvania Columbia University Sofia University |
| Thesis | Understanding the process of multi-document summarization: content selection, rewrite and evaluation (PhD thesis, 2006) Tableau Methods for Concept Languages (MS thesis, in Bulgarian, 2000) |
| Doctoral Advisor | Kathleen McKeown (Columbia University) |
| Postdoc Advisor | Dan Jurafsky (Stanford NLP) |
| Website | Personal website |
Ani Nenkova is a top scientist at Adobe Research. She is also a professor at the University of Pennsylvania. Her work helps computers understand human language and think like people. She studies how to make computers analyze text quality, recognize feelings, and summarize information.
Contents
Her Journey in Learning
Ani Nenkova started her studies at Sofia University in Bulgaria. She earned her master's degree there. Later, she went to Columbia University in the United States. In 2006, she completed her PhD in computer science. Her advisor at Columbia was Kathleen McKeown.
What She Does
Besides being a professor at the University of Pennsylvania, Ani Nenkova has many important roles. She helps lead a science journal called Transactions of the Association for Computational Linguistics (TACL). She also helps organize big conferences for computer science groups. These groups include ACL, NAACL, and AAAI.
In 2021, Nenkova began a new role at Adobe Research. She became the head of a lab there. She is currently on leave from her teaching position at the University of Pennsylvania.
Her Research Work
Ani Nenkova's research focuses on making computers understand language. This field is called natural language processing. She works on topics like summarizing texts and recognizing emotions. She also studies how people use language in conversations.
Understanding Emotions
Nenkova and her team developed a new way for computers to recognize emotions. They looked at specific parts of words and sounds. This helped computers understand feelings better than before.
What Makes Great Writing
She also explores what makes writing "great." Her goal is to teach computers to understand text like humans do. She uses special datasets that show computers what words mean in different situations. This research aims to create new computer programs. These programs could analyze and understand new texts without needing a human to translate.
Tools She Helped Create
Ani Nenkova and her colleagues have built many useful tools.
- Speciteller is a tool that predicts how specific a sentence is.
- CATS is a collection of science articles. It helps researchers study how science is written for the public.
- SIMetrix (Summary Input Similarity Metrics) is a tool for checking how good a summary is automatically.
