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Luis A. Lastras

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2 papers

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AAAI Conference 2020 System Paper

Doc2Dial: A Framework for Dialogue Composition Grounded in Documents

Song Feng
Kshitij Fadnis
Q. Vera Liao
Luis A. Lastras

We introduce DOC2DIAL, an end-to-end framework for generating conversational data grounded in given documents. It takes the documents as input and generates the pipelined tasks for obtaining the annotations speciﬁcally for producing the simulated dialog ﬂows. Then, the dialog ﬂows are used to guide the collection of the utterances via the integrated crowdsourcing tool. The outcomes include the human-human dialogue data grounded in the given documents, as well as various types of automatically or human labeled annotations that help ensure the quality of the dialog data with the ﬂexibility to (re)composite dialogues. We expect such data can facilitate building automated dialogue agents for goal-oriented tasks. We demonstrate DOC2DIAL system with the various domain documents for customer care.

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AAAI Conference 2019 System Paper

MAi: An Intelligent Model Acquisition Interface for Interactive Specification of Dialogue Agents

Tathagata Chakraborti
Christian Muise
Shubham Agarwal
Luis A. Lastras

The state of the art in automated conversational agents for enterprise (e.g. for customer support) require a lengthy design process with experts in the loop who have to figure out and specify complex conversation patterns. This demonstration looks at a prototype interface that aims to bring down the expertise required to design such agents as well as the time taken to do so. Specifically, we will focus on how a metawriter can assist the domain-writer during the design process and how complex conversation patterns can be derived from simplifying abstractions at the interface level.

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