[1412.6980] Adam: A Method for Stochastic Optimization

http://arxiv.org/abs/1412.6980

We introduce Adam, an algorithm for first-order gradient-based optimization of stochastic objective functions.

Overview of the TAC 2008 Update Summarization Task

http://www.nist.gov/tac/publications/2008/additional.papers/update_summ_overview08.proceedings.pdf

Abstract
The summarization track at the Text Analysis
Conference (TAC) is a direct continuation
of the Document Understanding
Conference (DUC) series of workshops,
focused on providing common data and
evaluation framework for research in automatic
summarization.

Learning Character-level Representations for Part-of-Speech Tagging

http://jmlr.org/proceedings/papers/v32/santos14.pdf

In this paper, we propose a deep neural network that learns character-level representation of words and associate them with usual word representations to perform POS tagging.