MLDublin Meets @ LinkedIn

REGISTRATION CLOSES FRIDAY 15TH

For the penultimate Meetup of 2019, we are very grateful to be hosted by LinkedIn in their Dublin offices in Wilton Place Dublin 2. We start at the usual time of 6pm on Tuesday 19th November with three excellent speakers; Parsa Ghaffari of Aylien, LinkedIn's Deepak Agarwal and TUD and ADAPT Centre Professor, John Kelleher.

When you register for this meetup please be sure to use your first and last names rather than a nickname because LinkedIn security will need to print passes in advance.

6:00 - 6.45: Networking

6.45 - 7.10: "AI that creates professional opportunities at scale"
Deepak Agarwal, LinkedIn

Professional opportunities can manifest itself in several ways like finding a new job, enhancing or learning a new skill through an online course, connecting with someone who can help with new professional opportunities in the future, finding insights about a lead to close a deal, sourcing the best candidate for a job opening, consuming the best professional news to stay informed, and many others. LinkedIn is the largest online professional social network that connects talent with opportunity at scale by leveraging and developing novel AI methods. In this talk, I will provide an overview of how AI is used across LinkedIn and the challenges thereof. The talk would mostly emphasize the principles required to bridge the gap between theory and practice of AI, with copious illustrations from the real world.
Bio:

Deepak Agarwal is a vice president of engineering at LinkedIn where he is responsible for all AI efforts across the company. He is well known for his work on recommender systems and has published a book on the topic. He has published extensively in top-tier computer science conferences and has coauthored several patents. He is a Fellow of the American Statistical Association and has served on the Executive Committee of Knowledge Discovery and Data Mining (KDD). Deepak regularly serves on program committees of various conferences in the field of AI and computer science. He is also an associate editor of two flagship statistics journals

7.10 - 7.35: "Creating Taxonomic Word-Embeddings"
Prof John Kelleher, the ADAPT SFI Research Centre and Technological University of Dublin (TUD)

This talk will begin by introducing a distinction between thematic and taxonomic word embeddings. Based on this distinction it will then contrast and explain the performance of a range of embeddings across a number of semantic relatedness evaluation datasets. A standard approach to creating taxonomic embeddings is to use a random walk across a taxonomy to generate a corpus and then to train the embeddings using this corpus. Building on this approach, the talk will present a series of experiments that first explore how the properties of a taxonomy affect the scaling properties of corpora generated from it, and hence the properties of the resulting embeddings, but also how the results of blending natural and synthesised corpora are affected by the relative sizes of the corpora. The talk presents works done jointly with Magdalena Kacmajor, Alfredo Maldonado and Filip Klubička

7.35 - 8.00: "Turning news into a structured data source using NLP"

Parsa Ghaffari, CEO Aylien

Description: Businesses are increasingly reliant on 3rd party data and information for making optimal decisions. News is a highly rich source of information about events taking place all around the world in real time, yet it has remained widely untapped in business applications due to (i) the large volume of news and media content; and (ii) the complexity of human languages and the challenges it creates for automation and scaling. The big data wave of the early 2010's and the deep learning wave of 2013 onwards have provided us with the tools we need to tackle these two issues. In this talk I will explain how our News Intelligence platform combines NLP and big data technology to extract high quality signals from news.
8.00 - 9.00 Networking