Search Results for author: Hanieh Deilamsalehy

Found 7 papers, 2 papers with code

Self-Debiasing Large Language Models: Zero-Shot Recognition and Reduction of Stereotypes

no code implementations3 Feb 2024 Isabel O. Gallegos, Ryan A. Rossi, Joe Barrow, Md Mehrab Tanjim, Tong Yu, Hanieh Deilamsalehy, Ruiyi Zhang, Sungchul Kim, Franck Dernoncourt

Large language models (LLMs) have shown remarkable advances in language generation and understanding but are also prone to exhibiting harmful social biases.

Text Generation Zero-Shot Learning

Boosting Punctuation Restoration with Data Generation and Reinforcement Learning

no code implementations24 Jul 2023 Viet Dac Lai, Abel Salinas, Hao Tan, Trung Bui, Quan Tran, Seunghyun Yoon, Hanieh Deilamsalehy, Franck Dernoncourt, Thien Huu Nguyen

Punctuation restoration is an important task in automatic speech recognition (ASR) which aim to restore the syntactic structure of generated ASR texts to improve readability.

Automatic Speech Recognition Automatic Speech Recognition (ASR) +3

MeetingBank: A Benchmark Dataset for Meeting Summarization

1 code implementation27 May 2023 Yebowen Hu, Tim Ganter, Hanieh Deilamsalehy, Franck Dernoncourt, Hassan Foroosh, Fei Liu

However, there is a crucial lack of annotated meeting corpora for developing this technology, as it can be hard to collect meetings, especially when the topics discussed are confidential.

Meeting Summarization

Curriculum-guided Abstractive Summarization for Mental Health Online Posts

no code implementations2 Feb 2023 Sajad Sotudeh, Nazli Goharian, Hanieh Deilamsalehy, Franck Dernoncourt

Automatically generating short summaries from users' online mental health posts could save counselors' reading time and reduce their fatigue so that they can provide timely responses to those seeking help for improving their mental state.

Abstractive Text Summarization Extreme Summarization +1

TLDR9+: A Large Scale Resource for Extreme Summarization of Social Media Posts

1 code implementation EMNLP (newsum) 2021 Sajad Sotudeh, Hanieh Deilamsalehy, Franck Dernoncourt, Nazli Goharian

Recent models in developing summarization systems consist of millions of parameters and the model performance is highly dependent on the abundance of training data.

Extreme Summarization Sentence

Cannot find the paper you are looking for? You can Submit a new open access paper.