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Greatest papers with code

Hierarchical Multi-Task Natural Language Understanding for Cross-domain Conversational AI: HERMIT NLU

WS 2019 RasaHQ/rasa

We present a new neural architecture for wide-coverage Natural Language Understanding in Spoken Dialogue Systems.

NATURAL LANGUAGE UNDERSTANDING SPOKEN DIALOGUE SYSTEMS

Plato Dialogue System: A Flexible Conversational AI Research Platform

17 Jan 2020uber-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.

SPOKEN DIALOGUE SYSTEMS

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.

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.

DATA-TO-TEXT GENERATION SPOKEN DIALOGUE SYSTEMS

A Context-aware Natural Language Generator for Dialogue Systems

25 Aug 2016UFAL-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.

SPOKEN DIALOGUE SYSTEMS TEXT GENERATION

A dataset for resolving referring expressions in spoken dialogue via contextual query rewrites (CQR)

28 Mar 2019alexa/alexa-dataset-contextual-query-rewrite

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.

SPOKEN DIALOGUE SYSTEMS SPOKEN LANGUAGE UNDERSTANDING

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.

SPOKEN DIALOGUE SYSTEMS TEXT GENERATION