7 citations · 9 across the 3 of their papers we have counts for
3 papers
cs.CL2021★ 1 cited
Smoothing and Shrinking the Sparse Seq2Seq Search Space
Ben Peters, André F. T. Martins
Current sequence-to-sequence models are trained to minimize cross-entropy and use softmax to compute the locally normalized probabilities over target sequences. While this setup ha…
cs.CL2019★ 7 cited
Sparse Sequence-to-Sequence Models
Ben Peters, Vlad Niculae, André F. T. Martins
Sequence-to-sequence models are a powerful workhorse of NLP. Most variants employ a softmax transformation in both their attention mechanism and output layer, leading to dense alig…
cs.CL2017★ 1 cited
Massively Multilingual Neural Grapheme-to-Phoneme Conversion
Ben Peters, Jon Dehdari, Josef van Genabith
Grapheme-to-phoneme conversion (g2p) is necessary for text-to-speech and automatic speech recognition systems. Most g2p systems are monolingual: they require language-specific data…