Paper: Deep Learning for NLP (without Magic)

ACL ID P12-4005
Title Deep Learning for NLP (without Magic)
Venue Annual Meeting of the Association of Computational Linguistics
Session Tutorial Abstracts
Year 2012

Tutorial Abstracts of ACL 2012, page 5, Jeju, Republic of Korea, 8 July 2012. c?2012 Association for Computational Linguistics Deep Learning for NLP (without Magic) Richard Socher Yoshua Bengio? Christopher D. Manning, Computer Science Department, Stanford University ? DIRO, Universite? de Montre?al, Montre?al, QC, Canada 1 Abtract Machine learning is everywhere in today?s NLP, but by and large machine learning amounts to numerical optimization of weights for human designed repre- sentations and features. The goal of deep learning is to explore how computers can take advantage of data to develop features and representations appro- priate for complex interpretation tasks. This tuto- rial aims to cover the basic motivation, ide...