2 citations · 2 across the 3 of their papers we have counts for
4 papers
Sparsity and Sentence Structure in Encoder-Decoder Attention of Summarization Systems
Potsawee Manakul, Mark J. F. Gales
Transformer models have achieved state-of-the-art results in a wide range of NLP tasks including summarization. Training and inference using large transformer models can be computa…
Long-Span Summarization via Local Attention and Content Selection
Potsawee Manakul, Mark J. F. Gales
Transformer-based models have achieved state-of-the-art results in a wide range of natural language processing (NLP) tasks including document summarization. Typically these systems…
Attention Forcing for Machine Translation
Qingyun Dou, Yiting Lu, Potsawee Manakul +2
Auto-regressive sequence-to-sequence models with attention mechanisms have achieved state-of-the-art performance in various tasks including Text-To-Speech (TTS) and Neural Machine…
CUED_speech at TREC 2020 Podcast Summarisation Track
Potsawee Manakul, Mark Gales
In this paper, we describe our approach for the Podcast Summarisation challenge in TREC 2020. Given a podcast episode with its transcription, the goal is to generate a summary that…