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Research Review Notes

Summaries of academic research papers

Natural Language Processing (almost) from Scratch


Idea

The paper attempts to train a generic single learning system for multi-task learning. The tasks include Part-of-Speech (POS) tagging, chunking (CHUNK), Named Entity Recognition (NER) and Semantic Role Labeling (SRL). The authors intend to achieve this without hand-engineering task-specific features, and instead rely on a large amount on unlabeled data. They also wish to avoid baselines that have been created using differently labeled data.

Background

Method

Observations