Neural Attention

AbstractIn this paper, we study the problem of disfluency detection using the encoder-decoder framework. We treat disfluency detection as a sequence-to-sequence problem and propose a neural attention-based model which can …...

When humans read text, they fixate some words and skip others. However, there have been few attempts to explain skipping behav- ior with computational models, as most ex- isting work …...

Meaning Representation Sho Takase† Jun Suzuki‡ Naoaki Okazaki† Tsutomu Hirao‡ Masaaki Nagata‡ Graduate School of Information Sciences, Tohoku University† NTT Communication Science Laboratories, NTT Corporation‡ {takase, okazaki}@ecei.tohoku.ac.jp {suzuki.jun, hirao.tsutomu, nagata.masaaki}@lab.ntt.co.jp …...

AbstractWhile neural networks with attention mechanisms have achieved superior performance on many natural language processing tasks, it remains unclear to which extent learned attention resembles human visual attention. In this …...