Introduction

• The paper presents a database of ranked English and Spanish paraphrases derived by:
• Extracting lexical, phrasal, and syntactic paraphrases from large bilingual parallel corpora.
• Computing the similarity scores for the pair of paraphrases using Google ngrams and the Annotated Gigaword corpus.
• Link to the paper

Extracting Paraphrase from Bilingual Text

• The basic idea is that if two English strings e1 and e2 translate to the same foreign string f (also c...

I am trying a new initiative — a-paper-a-week. This post is the summary of the very first paper I read as a part of this initiative. The idea behind writing such posts is to have a summary of these papers — for my future self and for others. I believe that summarizing an academic writing helps to understand it better.

For my first week, I picked up the paper titled Never-Ending Learning. It is a part of Read The Web project at Carnegie Mellon University. It introduces a new machine learning paradigm called never-ending learning. In most machine learning applications, a system aims to learn a single function or data model from a given data set. But in this new paradigm, the system learns the different type of functions from years of experience in a way that previously learned knowledge makes way for accumulating new types of knowledge. Stagnation and performance plateaus are avoided by the ability to formulate new learning tasks.

Summary

A never-ending learning problem has 2 components — a...