Spoken Dialogue Systems

19 papers with code • 0 benchmarks • 2 datasets

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Use these libraries to find Spoken Dialogue Systems models and implementations
4 papers

Most implemented papers

Plato Dialogue System: A Flexible Conversational AI Research Platform

uber-research/plato-research-dialogue-system 17 Jan 2020

Plato has been designed to be easy to understand and debug and is agnostic to the underlying learning frameworks that train each component.

Semantically Conditioned LSTM-based Natural Language Generation for Spoken Dialogue Systems

andy194673/nlg-sclstm-multiwoz EMNLP 2015

Natural language generation (NLG) is a critical component of spoken dialogue and it has a significant impact both on usability and perceived quality.

Slot-Gated Modeling for Joint Slot Filling and Intent Prediction

MiuLab/SlotGated-SLU NAACL 2018

Attention-based recurrent neural network models for joint intent detection and slot filling have achieved the state-of-the-art performance, while they have independent attention weights.

A Context-aware Natural Language Generator for Dialogue Systems

UFAL-DSG/tgen 25 Aug 2016

We present a novel natural language generation system for spoken dialogue systems capable of entraining (adapting) to users' way of speaking, providing contextually appropriate responses.

Towards Learning Transferable Conversational Skills using Multi-dimensional Dialogue Modelling

skeizer/madrigal 31 Mar 2018

Recent statistical approaches have improved the robustness and scalability of spoken dialogue systems.

Natural Language Generation by Hierarchical Decoding with Linguistic Patterns

MiuLab/HNLG NAACL 2018

Natural language generation (NLG) is a critical component in spoken dialogue systems.

Findings of the E2E NLG Challenge

UFAL-DSG/tgen WS 2018

This paper summarises the experimental setup and results of the first shared task on end-to-end (E2E) natural language generation (NLG) in spoken dialogue systems.