Multi-modal Deep Learning for Complex Document Understanding with Doug Burdick - #541

Multi-modal Deep Learning for Complex Document Understanding with Doug Burdick - #541

Today we’re joined by Doug Burdick, a principal research staff member at IBM Research. In a recent interview, Doug’s colleague Yunyao Li joined us to talk through some of the broader enterprise NLP problems she’s working on. One of those problems is making documents machine consumable, especially with the traditionally archival file type, the PDF. That’s where Doug and his team come in. In our conversation, we discuss the multimodal approach they’ve taken to identify, interpret, contextualize and extract things like tables from a document, the challenges they’ve faced when dealing with the tables and how they evaluate the performance of models on tables. We also explore how he’s handled generalizing across different formats, how fine-tuning has to be in order to be effective, the problems that appear on the NLP side of things, and how deep learning models are being leveraged within the group. The complete show notes for this episode can be found at twimlai.com/go/541

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Checking in with the Master w/ Garry Kasparov - TWiML Talk #140

Checking in with the Master w/ Garry Kasparov - TWiML Talk #140

In this episode I’m joined by legendary chess champion, author, and fellow at the Oxford Martin School, Garry Kasparov. Garry and I sat down after his keynote at the Figure Eight Train AI conference i...

21 Maj 201832min

Exploring AI-Generated Music with Taryn Southern - TWiML Talk #139

Exploring AI-Generated Music with Taryn Southern - TWiML Talk #139

In this episode I’m joined by Taryn Southern - a singer, digital storyteller and Youtuber, whose upcoming album I AM AI will be produced completely with AI based tools. Taryn and I explore all aspects...

17 Maj 201833min

Practical Deep Learning with Rachel Thomas - TWiML Talk #138

Practical Deep Learning with Rachel Thomas - TWiML Talk #138

In this episode, i'm joined by Rachel Thomas, founder and researcher at Fast AI. If you’re not familiar with Fast AI, the company offers a series of courses including Practical Deep Learning for Coder...

14 Maj 201844min

Kinds of Intelligence w/ Jose Hernandez-Orallo - TWiML Talk #137

Kinds of Intelligence w/ Jose Hernandez-Orallo - TWiML Talk #137

In this episode, I'm joined by Jose Hernandez-Orallo, professor in the department of information systems and computing at Universitat Politècnica de València and fellow at the Leverhulme Centre for th...

10 Maj 201844min

Taming arXiv with Natural Language Processing w/ John Bohannon - TWiML Talk #136

Taming arXiv with Natural Language Processing w/ John Bohannon - TWiML Talk #136

In this episode i'm joined by John Bohannan, Director of Science at AI startup Primer. As you all may know, a few weeks ago we released my interview with Google legend Jeff Dean, which, by the way, yo...

7 Maj 201854min

Epsilon Software for Private Machine Learning with Chang Liu - TWiML Talk #135

Epsilon Software for Private Machine Learning with Chang Liu - TWiML Talk #135

In this episode, our final episode in the Differential Privacy series, I speak with Chang Liu, applied research scientist at Georgian Partners, a venture capital firm that invests in growth stage busi...

4 Maj 201846min

Scalable Differential Privacy for Deep Learning with Nicolas Papernot - TWiML Talk #134

Scalable Differential Privacy for Deep Learning with Nicolas Papernot - TWiML Talk #134

In this episode of our Differential Privacy series, I'm joined by Nicolas Papernot, Google PhD Fellow in Security and graduate student in the department of computer science at Penn State University. N...

3 Maj 201859min

Differential Privacy at Bluecore with Zahi Karam - TWiML Talk #133

Differential Privacy at Bluecore with Zahi Karam - TWiML Talk #133

In this episode of our Differential Privacy series, I'm joined by Zahi Karam, Director of Data Science at Bluecore, whose retail marketing platform specializes in personalized email marketing. I sat d...

1 Maj 201838min

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