2 papers
cs.CL2019
Grammatical Sequence Prediction for Real-Time Neural Semantic Parsing
Chunyang Xiao, Christoph Teichmann, Konstantine Arkoudas
While sequence-to-sequence (seq2seq) models achieve state-of-the-art performance in many natural language processing tasks, they can be too slow for real-time applications. One per…
cs.CL2018
Discovering User Groups for Natural Language Generation
Nikos Engonopoulos, Christoph Teichmann, Alexander Koller
We present a model which predicts how individual users of a dialog system understand and produce utterances based on user groups. In contrast to previous work, these user groups ar…