9 citations · 15 across the 4 of their papers we have counts for
3 papers · 1 filter
What Makes Data-to-Text Generation Hard for Pretrained Language Models?
Moniba Keymanesh, Adrian Benton, Mark Dredze
Expressing natural language descriptions of structured facts or relations -- data-to-text generation (D2T) -- increases the accessibility of structured knowledge repositories. Prev…
Privacy Policy Question Answering Assistant: A Query-Guided Extractive Summarization Approach
Moniba Keymanesh, Micha Elsner, Srinivasan Parthasarathy
Existing work on making privacy policies accessible has explored new presentation forms such as color-coding based on the risk factors or summarization to assist users with conscio…
Interpretable Multi-Headed Attention for Abstractive Summarization at Controllable Lengths
Ritesh Sarkhel, Moniba Keymanesh, Arnab Nandi +1
Abstractive summarization at controllable lengths is a challenging task in natural language processing. It is even more challenging for domains where limited training data is avail…