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Saturday, April 25 • 11:10am - 11:30am
Transforming an Algorithm for Online Recommendations into a Multi-lingual Syntax Parser

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You need solid syntax parsing to really understand the nuance of language. Complicated negation patterns, relationships between entities, entity sentiment assignment (and many other things) are all examples for which having sophisticated syntax understanding is important. The question then is how to get an understanding of syntax across many languages, content types, and contexts. Most traditional model-based approaches require manually coded syntax trees, which are costly to generate, as they require relatively expensive linguist time. These trees exist for some languages, and some content types; but not for, say, German Tweets, or Swedish biotech. It turns out that the problem can be stated as a “similarity” problem, which then looks like a recommendation problem. This presentation will discuss how we leveraged a matrix factorization recommendation algorithm to create a highly efficient, easily extensible syntax parser.

Speakers
SR

Seth Redmore

Lexalytics
@sredmore | Seth Redmore has over 20 years of experience in product marketing and over 10 years of experience in text analytics - from the perspective of a user as well as a vendor. Seth has worked in a number of executive roles at both hardware and software companies, including co-founding Netiverse (who built a high-speed server load balancing system) which was bought by Cisco Systems in 2000. While at Cisco, he worked in a variety of product... Read More →


Saturday April 25, 2015 11:10am - 11:30am
Boardroom

Attendees (14)