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Found 9 papers, 6 papers with code
An Empirical study to understand the Compositional Prowess of Neural Dialog Models
In this work, we examine the problems associated with neural dialog models under the common theme of compositionality.
Automatic Evaluation and Moderation of Open-domain Dialogue Systems
The development of Open-Domain Dialogue Systems (ODS)is a trending topic due to the large number of research challenges, large societal and business impact, and advances in the underlying technology.
Fine-grained style control in Transformer-based Text-to-speech Synthesis
In this paper, we present a novel architecture to realize fine-grained style control on the transformer-based text-to-speech synthesis (TransformerTTS).
Exploring Wav2vec 2.0 fine-tuning for improved speech emotion recognition
We show that V-FT is able to outperform state-of-the-art models on the IEMOCAP dataset.
Adjusting Image Attributes of Localized Regions with Low-level Dialogue
Our system grounds language on the level of edit operations, and suggests options for a user to choose from.
The Second Conversational Intelligence Challenge (ConvAI2)
We describe the setting and results of the ConvAI2 NeurIPS competition that aims to further the state-of-the-art in open-domain chatbots.
RubyStar: A Non-Task-Oriented Mixture Model Dialog System
RubyStar is a dialog system designed to create "human-like" conversation by combining different response generation strategies.
User Intent Classification using Memory Networks: A Comparative Analysis for a Limited Data Scenario
Since the classifier is meant to serve as a module in a practical dialog system, it needs to be able to work with limited training data and incorporate new data on the fly.
