Common Ground For Conversational AI

Machine Learning Scientist, Marco Del Tredici, will describe the Common Ground approach to accumulate conversational information in a more efficient and human-like way.

In conversational QA, models have to leverage information in previous turns to answer upcoming questions. Current approaches, such as Question Rewriting, struggle to extract relevant information as the conversation unwinds. We introduce the Common Ground (CG), an approach to accumulate conversational information as it emerges and select the relevant information at every turn.

We show that CG offers a more efficient and human-like way to exploit conversational information compared to existing approaches, leading to improvements on Open Domain Conversational QA.

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Important information:

The event will be held in English but we will be also accepting considerations, comments and questions in Italian.

The event will be held online and it is free of charge.

After registration and a few days before the event, you will receive a link to access the conference via e-mail.

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Extras about the event.

If you are curious, here's to you a sneak peek of the topics Marco Del Tredici will describe:

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