Benchmarks
Datasets
Greatest papers with code
Hierarchical Multi-Task Natural Language Understanding for Cross-domain Conversational AI: HERMIT NLU
We present a new neural architecture for wide-coverage Natural Language Understanding in Spoken Dialogue Systems.
Plato Dialogue System: A Flexible Conversational AI Research Platform
• uber-research/plato-research-dialogue-system
• 
Plato has been designed to be easy to understand and debug and is agnostic to the underlying learning frameworks that train each component.
Slot-Gated Modeling for Joint Slot Filling and Intent Prediction
NAACL 2018
• MiuLab/SlotGated-SLU
•
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.
Ranked #6 on
Intent Detection
on SNIPS
INTENT DETECTION SLOT FILLING SPOKEN DIALOGUE SYSTEMS SPOKEN LANGUAGE UNDERSTANDING
Findings of the E2E NLG Challenge
WS 2018
• UFAL-DSG/tgen
•
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.
Ranked #4 on
Data-to-Text Generation
on E2E NLG Challenge
A Context-aware Natural Language Generator for Dialogue Systems
• UFAL-DSG/tgen
•
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.
A dataset for resolving referring expressions in spoken dialogue via contextual query rewrites (CQR)
In this paper, we describe our methodology for creating the query reformulation extension to the dialog corpus, and present an initial set of experiments to establish a baseline for the CQR task.
Semantically Conditioned LSTM-based Natural Language Generation for Spoken Dialogue Systems
EMNLP 2015
• andy194673/nlg-sclstm-multiwoz
• 
Natural language generation (NLG) is a critical component of spoken dialogue and it has a significant impact both on usability and perceived quality.
Natural Language Generation by Hierarchical Decoding with Linguistic Patterns
Natural language generation (NLG) is a critical component in spoken dialogue systems.