Neural Lattice-to-Sequence Models for Uncertain Inputs

EMNLP 2017 Matthias SperberGraham NeubigJan NiehuesAlex Waibel

The input to a neural sequence-to-sequence model is often determined by an up-stream system, e.g. a word segmenter, part of speech tagger, or speech recognizer. These up-stream models are potentially error-prone... (read more)

PDF Abstract

Code


No code implementations yet. Submit your code now

Tasks


Results from the Paper


  Submit results from this paper to get state-of-the-art GitHub badges and help the community compare results to other papers.