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View article: Topical-Chat: Towards Knowledge-Grounded Open-Domain Conversations
Topical-Chat: Towards Knowledge-Grounded Open-Domain Conversations Open
Building socialbots that can have deep, engaging open-domain conversations with humans is one of the grand challenges of artificial intelligence (AI). To this end, bots need to be able to leverage world knowledge spanning several domains e…
View article: Alexa Conversations: An Extensible Data-driven Approach for Building Task-oriented Dialogue Systems
Alexa Conversations: An Extensible Data-driven Approach for Building Task-oriented Dialogue Systems Open
Traditional goal-oriented dialogue systems rely on various components such as natural language understanding, dialogue state tracking, policy learning and response generation. Training each component requires annotations which are hard to …
View article: Alexa Conversations: An Extensible Data-driven Approach for Building Task-oriented Dialogue Systems
Alexa Conversations: An Extensible Data-driven Approach for Building Task-oriented Dialogue Systems Open
Anish Acharya, Suranjit Adhikari, Sanchit Agarwal, Vincent Auvray, Nehal Belgamwar, Arijit Biswas, Shubhra Chandra, Tagyoung Chung, Maryam Fazel-Zarandi, Raefer Gabriel, Shuyang Gao, Rahul Goel, Dilek Hakkani-Tur, Jan Jezabek, Abhay Jha, J…
View article: Towards Coherent and Engaging Spoken Dialog Response Generation Using Automatic Conversation Evaluators
Towards Coherent and Engaging Spoken Dialog Response Generation Using Automatic Conversation Evaluators Open
Encoder-decoder based neural architectures serve as the basis of state-of-the-art approaches in end-to-end open domain dialog systems. Since most of such systems are trained with a maximum likelihood~(MLE) objective they suffer from issues…
View article: Natural Language Generation at Scale: A Case Study for Open Domain Question Answering
Natural Language Generation at Scale: A Case Study for Open Domain Question Answering Open
Current approaches to Natural Language Generation (NLG) for dialog mainly focus on domain-specific, task-oriented applications (e.g. restaurant booking) using limited ontologies (up to 20 slot types), usually without considering the previo…
View article: Towards Coherent and Engaging Spoken Dialog Response Generation Using Automatic Conversation Evaluators
Towards Coherent and Engaging Spoken Dialog Response Generation Using Automatic Conversation Evaluators Open
Sanghyun Yi, Rahul Goel, Chandra Khatri, Alessandra Cervone, Tagyoung Chung, Behnam Hedayatnia, Anu Venkatesh, Raefer Gabriel, Dilek Hakkani-Tur. Proceedings of the 12th International Conference on Natural Language Generation. 2019.
View article: Advancing the State of the Art in Open Domain Dialog Systems through the Alexa Prize
Advancing the State of the Art in Open Domain Dialog Systems through the Alexa Prize Open
Building open domain conversational systems that allow users to have engaging conversations on topics of their choice is a challenging task. Alexa Prize was launched in 2016 to tackle the problem of achieving natural, sustained, coherent a…
View article: Detecting Offensive Content in Open-domain Conversations using Two Stage\n Semi-supervision
Detecting Offensive Content in Open-domain Conversations using Two Stage\n Semi-supervision Open
As open-ended human-chatbot interaction becomes commonplace, sensitive\ncontent detection gains importance. In this work, we propose a two stage\nsemi-supervised approach to bootstrap large-scale data for automatic sensitive\nlanguage dete…
View article: Detecting Offensive Content in Open-domain Conversations using Two Stage Semi-supervision
Detecting Offensive Content in Open-domain Conversations using Two Stage Semi-supervision Open
As open-ended human-chatbot interaction becomes commonplace, sensitive content detection gains importance. In this work, we propose a two stage semi-supervised approach to bootstrap large-scale data for automatic sensitive language detecti…
View article: Contextual Topic Modeling For Dialog Systems
Contextual Topic Modeling For Dialog Systems Open
Accurate prediction of conversation topics can be a valuable signal for creating coherent and engaging dialog systems. In this work, we focus on context-aware topic classification methods for identifying topics in free-form human-chatbot d…
View article: Alexa Prize — State of the Art in Conversational AI
Alexa Prize — State of the Art in Conversational AI Open
To advance the state of the art in conversational AI, Amazon launched the Alexa Prize, a $2.5 million competition that challenges university teams to build conversational agents, or “socialbots,” that can converse coherently and engagingly…
View article: On Evaluating and Comparing Conversational Agents
On Evaluating and Comparing Conversational Agents Open
Conversational agents are exploding in popularity. However, much work remains in the area of non goal-oriented conversations, despite significant growth in research interest over recent years. To advance the state of the art in conversatio…
View article: Conversational AI: The Science Behind the Alexa Prize
Conversational AI: The Science Behind the Alexa Prize Open
Conversational agents are exploding in popularity. However, much work remains in the area of social conversation as well as free-form conversation over a broad range of domains and topics. To advance the state of the art in conversational …
View article: On Evaluating and Comparing Open Domain Dialog Systems
On Evaluating and Comparing Open Domain Dialog Systems Open
Conversational agents are exploding in popularity. However, much work remains in the area of non goal-oriented conversations, despite significant growth in research interest over recent years. To advance the state of the art in conversatio…
View article: Proceedings of Grand Challenge and Workshop on Human Multimodal Language (Challenge-HML)
Proceedings of Grand Challenge and Workshop on Human Multimodal Language (Challenge-HML) Open
In the last decade, video blogs (vlogs) have become an extremely popular method through which people express sentiment.The ubiquitousness of these videos has increased the importance of multimodal fusion models, which incorporate video and…