ODSC Europe 2018

London, UK

Listen to our Chief Scientist speak on Sep 22 at 2pm.

INSIDE THE BLACK BOX: HOW DOES A NEURAL NETWORK UNDERSTAND NAMES?

Abstract: A cornerstone of customer relationship management, chatbot analytics, and research automation systems, Named Entity Recognition (NER) is a key commercial application of Natural Language Processing (NLP). State of the art approaches to NER are purely data driven, leveraging deep neural networks to identify named entity mentions—such as people, organizations, and locations—in lakes of text data. In this talk, I will present our latest research on NER and provide real-life examples of how we are applying these cutting-edge techniques to ten different languages, including Spanish, English, Arabic, Persian, Korean, and Japanese. We’ll look at accuracy, speed, and memory footprint, while comparing some of the best known deep architectures with a basic statistical approach. I will focus on the interpretation of the network, when assigned to learn names across many languages.

We’ll start with a detailed description of our neural architecture for NER, which is based on a generic Long Short-Term Memory (LSTM) implementation, a specific flavour of recurrent neural network for sequence tagging. We encode word as well as letter embeddings as a single neural pipeline. Our decoder is based on Conditional Random Fields (CRF), leveraging label distributions from across the entire input text. We will then look into the internal network activation values, on different input conditions, with a special focus on highly inflected languages. Our latest findings show key neurons that get activated for different linguistic aspects.


地域の選択

イベントの選択

日程

No events were found matching the selected filters
Tysons Corner, VA
Tokyo, Japan
Tokyo, Japan
Tokyo, Japan
Honolulu, HI
Washington, DC
Doha, Qatar
東京都千代田区平河町2-7-3, PMO平河町8F
Tokyo, Japan
Tokyo, Japan
Herndon, VA
Montreal, Canada
Las Vegas, NV
Tampa, FL
Kuwait,
London, UK
Bathesda, MD
Omaha, NE
東京, 日本
Arlington, VA
Myrtle Beach, SC
Tokyo, Japan
Tampa, FL
Zagreb, Croatia
Boston, MA
Fort Belvoir, VA
Fort Belvoir, VA
Tampa, FL
Tampa, FL
Farnborough, England
Tokyo, Japan
東京都,
Tokyo, Japan
Tokyo, Japan
東京, 東京国際フォーラム
東京都千代田区平河町2-7-3, PMO平河町8F
東京, 虎ノ門ヒルズ
Herndon, VA
London, UK
新潟, 越後湯沢公民館
Springfield, VA
Amsterdam, The Netherlands
東京都 永田町,
Abu Dhabi, UAE
London, UK
Serock, Poland
Abu Dhabi, UAE
Olympia, London, UK