Hanieh Deilamsalehy

Researcher

Seattle

Hanieh is a NLP researcher at Adobe Research in Seattle. She received her Ph.D. from Michigan Technological University in Electrical and Computer Engineering. Her research interest is broadly Machine Learning with specific focus on Natural Language Processing (NLP).

She has been working on various research projects including text summarization, segmentation, key-phrase extraction, recommendation systems, and etc.

Graduate students with strong background in NLP are welcome to contact her at deilamsa@adobe.com regarding internship opportunities.

Publications

Scaling Up Video Summarization Pretraining with Large Language Models

Argaw, D., Yoon, D., Heilbron, F., Deilamsalehy, H., Bui, T., Wang, Z., Dernoncourt, F., Chung, J. (Jun. 21, 2024)

CVPR 2024

Boosting Punctuation Restoration with Data Generation and Reinforcement Learning

Lai, V., Salinas, A., Tan, H., Bui, T., Tran, Q., Yoon, D., Deilamsalehy, H., Dernoncourt, F., Nguyen, T. (Aug. 24, 2023)

Interspeech 2023

MeetingBank: A Benchmark Dataset for Meeting Summarization

Hu, Y., Ganter, T., Deilamsalehy, H., Dernoncourt, F., Foroosh, H., Liu, F. (Jul. 14, 2023)

ACL 2023

MeetingQA: Extractive Question-Answering on Meeting Transcripts

Prasad, A., Bui, T., Yoon, D., Deilamsalehy, H., Dernoncourt, F., Bansal, M. (Jul. 10, 2023)

ACL 2023

Curricular Next Conversation Prediction Pretraining for Transcript Segmentation

Vijjini, A., Deilamsalehy, H., Dernoncourt, F., Chaturvedi, S. (Jun. 6, 2023)

Findings of EACL 2023

Curriculum-guided Abstractive Summarization for Mental Health Online Posts

Sotudeh, S., Goharian, N., Deilamsalehy, H., Dernoncourt, F. (Dec. 7, 2022)

EMNLP 2022 LOUHI Workshop

Keyphrase Prediction from Video Transcripts: New Dataset and Directions

Veyseh, A., Tran, Q., Yoon, D., Manjunatha, V., Deilamsalehy, H., Jain, R., Bui, T., Chang, W., Dernoncourt, F., Nguyen, T. (Oct. 17, 2022)

COLING 2022