Health Text Simplification: An Annotated Corpus for Digestive Cancer Education and Novel Strategies for Reinforcement Learning

no code implementations • 26 Jan 2024 • Md Mushfiqur Rahman, Mohammad Sabik Irbaz, Kai North, Michelle S. Williams, Marcos Zampieri, Kevin Lybarger

Our innovative RLHF reward function surpassed existing RL text simplification reward functions in effectiveness.

Domain Adaptation Language Modelling +4

Intent Detection and Slot Filling for Home Assistants: Dataset and Analysis for Bangla and Sylheti

1 code implementation • 17 Oct 2023 • Fardin Ahsan Sakib, A H M Rezaul Karim, Saadat Hasan Khan, Md Mushfiqur Rahman

As voice assistants cement their place in our technologically advanced society, there remains a need to cater to the diverse linguistic landscape, including colloquial forms of low-resource languages.

Intent Detection slot-filling +1

To token or not to token: A Comparative Study of Text Representations for Cross-Lingual Transfer

1 code implementation • 12 Oct 2023 • Md Mushfiqur Rahman, Fardin Ahsan Sakib, Fahim Faisal, Antonios Anastasopoulos

To understand the downstream implications of text representation choices, we perform a comparative analysis on language models having diverse text representation modalities including 2 segmentation-based models (\texttt{BERT}, \texttt{mBERT}), 1 image-based model (\texttt{PIXEL}), and 1 character-level model (\texttt{CANINE}).

Cross-Lingual Transfer Dependency Parsing +4

DOANet: a deep dilated convolutional neural network approach for search and rescue with drone-embedded sound source localization

1 code implementation • EURASIP Journal on Audio, Speech, and Music Processing 2020 • Alif Bin Abdul Qayyum, K. M. Naimul Hassan, Adrita Anika, Md. Farhan Shadiq, Md Mushfiqur Rahman, Md. Tariqul Islam, Sheikh Asif Imran, Shahruk Hossain, Mohammad Ariful Haque

DOANet is based on a one-dimensional dilated convolutional neural network that computes the azimuth and elevation angles of the target sound source from the raw audio signal.