Conversational ai: The science behind the alexa prize
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 …
of social conversation as well as free-form conversation over a broad range of domains and …
Alexa prize—state of the art in conversational AI
To advance the state of the art in conversational AI, Amazon launched the Alexa Prize, a 2.5
million dollar competition that challenges university teams to build conversational agents, or" …
million dollar competition that challenges university teams to build conversational agents, or" …
A survey of available corpora for building data-driven dialogue systems
During the past decade, several areas of speech and language understanding have
witnessed substantial breakthroughs from the use of data-driven models. In the area of …
witnessed substantial breakthroughs from the use of data-driven models. In the area of …
Towards exploiting background knowledge for building conversation systems
Existing dialog datasets contain a sequence of utterances and responses without any
explicit background knowledge associated with them. This has resulted in the development …
explicit background knowledge associated with them. This has resulted in the development …
The bottleneck simulator: A model-based deep reinforcement learning approach
Deep reinforcement learning has recently shown many impressive successes. However,
one major obstacle towards applying such methods to real-world problems is their lack of …
one major obstacle towards applying such methods to real-world problems is their lack of …
Dynamic composition for conversational domain exploration
We study conversational domain exploration (CODEX), where the user's goal is to enrich her
knowledge of a given domain by conversing with an informative bot. Such conversations …
knowledge of a given domain by conversing with an informative bot. Such conversations …
Recent Progress in Conversational AI
Z Xue, R Li, M Li - arxiv preprint arxiv:2204.09719, 2022 - arxiv.org
Conversational artificial intelligence (AI) is becoming an increasingly popular topic among
industry and academia. With the fast development of neural network-based models, a lot of …
industry and academia. With the fast development of neural network-based models, a lot of …
Computational models of coherence for open-domain dialogue
A Cervone - 2020 - iris.unitn.it
Coherence is the quality that gives a text its conceptual unity, making a text a coordinated
set of connected parts rather than a random group of sentences (turns, in the case of …
set of connected parts rather than a random group of sentences (turns, in the case of …
Building A User-Centric and Content-Driven Socialbot
H Fang - arxiv preprint arxiv:2005.02623, 2020 - arxiv.org
To build Sounding Board, we develop a system architecture that is capable of
accommodating dialog strategies that we designed for socialbot conversations. The …
accommodating dialog strategies that we designed for socialbot conversations. The …
Conceptual Operations with Semantics for a Companion Robot
A Kotov, L Zaidelman, A Zinina, N Arinkin… - Speech and Computer …, 2020 - Springer
We study the features crucial for a companion robot conceptual processing and suggest a
practical implementation of a cognitive architecture that support these features while …
practical implementation of a cognitive architecture that support these features while …