Hellina Nigatu

View My GitHub Profile

Screenshot from 2024-01-25 12-35-43

Hellina Hailu Nigatu | ህሊና ሀይሉ ንጋቱ

📧 hellina underscore nigatu at berkeley dot edu

CV

I am a PhD student at the University of California, Berkeley in the EECS department. I finished my undergrad at Addis Ababa University, Ethiopia in Electrical and Computer Engineering and received my Masters of Science in CS from UC Berkeley in 2023. I am currently co-advised by Prof. Sarah Chasins and Prof. John Canny. I am part of PLAIT, CannyLab and BAIR.

My research interest broadly lies in the intersection of AI and HCI, with a focus on making usable AI tools accessible to end users. I am currently looking into making NLP tools usable and accessible for low-resourced languages. I am also interested in the impact of AI on society, specifically in how it affects Global Majority countries and communities.

Outside of research, I like to read books📚, make and drink traditional Ethiopian coffee☕, knit🧣, explore art🎨, and write✍️.

News

Paper on need-finding work with low-resourced language contributors and their interaction with online knowledge repository accepted to CHI 2024

I received the ACM-W scholarship to attend EMNLP’23 where I will be presenting my work. Thank you to the ACM-W scholarship and Google for sponsoring my travel.

LLM evaluation work [poster] done with my mentee Bontu Fufa Balcha from my course accepted to two workshops!! Black in AI workshop co-located with NeurIPS’23 and WiNLP workshop co-located with EMNLP’23.

I built a library…not the code type…a physical library 🏫…where you find books :-). Read more about it here.

I will be TAing for Addis Coder in Summer 2023!!

Finally translated my website content to Amharic. More languages to come :-))

Was an invited speaker at the Wade Scholarship Program welcome event for 2022 Scholars.

Delighted to announce I am one of the 2022 winners of the SIGHPC Computational and Data Science Fellowship.

Excited to be featured with other Ethiopian women in STEM on BBC Amharic.

Publications

2024

[Link Upcoming] Hellina Hailu Nigatu, John Canny, Sarah Chasins. “Low-Resourced Languages and Online Knowledge Repositories: A Need-Finding Study” Proceedings of ACM Conference on Human Factors in Computing Systems (ACM CHI)–Forthcoming.

2023

[paper] Hellina Hailu Nigatu*, Atnafu Lambebo Tonja*, Jugal Kalita. “The Less the Merrier? Investigating Language Representation in Multilingual Models” Proceedings of Empirical Natural Language Processing (EMNLP) 2023 Findings.

[paper] Hellina Hailu Nigatu, Lisa Pickoff-White, John Canny, Sarah Chasins. “Co-Designing for Transparency: Lessons from Building a Document Organization Tool for the Criminal Justice Domain.” Proceedings of ACM Conference on Fairness, Accountability, and Transparency (ACM FAccT).

[paper] Hellina Hailu Nigatu, John Canny, Sarah Chasins. “A Need Finding Study with Low-Resourced Language Content Creators” Proceedings of 4th ACM African Human-Computer Interaction Conference (AfriCHI 2023)

[paper] Atnafu Lambebo Tonja, Hellina Hailu Nigatu, Olga Kolesnikova, Grigori Sidorov, Alexander Gelbukh, Jugal Kalita. “Enhancing Translation for Indigenous Languages: Experiments with Multilingual Models.” For AmericasNLP 2023 Shared Task on Machine Translation into Indigenous Languages.

2022

[paper] Andrew McCrabb, Hellina Nigatu, Absalat Getachew, Valeria Bertacco. “DyGraph: a dynamic graph generator and benchmark suite.” Proceedings of the 5th ACM SIGMOD Joint International Workshop on Graph Data Management Experiences & Systems (GRADES) and Network Data Analytics (NDA).

[paper] Chris Chinenye Emezue, Hellina Hailu Nigatu, Cynthia Thinwa, Lerato Louis, Idris Abdulmumin, Samuel Gbenga Oyerinde, Benjamin Ayoade Ajibade, Helper Zhou, Emeka Felix Onwuegbuzia, Handel Chiagozie Emezue, Ifeoluwatayo Adeseye Ige, Atnafu Lambebo Tonja, Chiamaka Ijeoma Chukwuneke, Shamsuddeen Hassan Muhammad, Olanrewaju Samuel. “The African Stopwords Project: Curating Stopwords for African Languages” 3rd Workshop on African Natural Language Processing.

Talks

Teaching

Service

Google Scholar Twitter Mastodon