Learning what to read: Focused machine reading

09/01/2017
by   Enrique Noriega-Atala, et al.
0

Recent efforts in bioinformatics have achieved tremendous progress in the machine reading of biomedical literature, and the assembly of the extracted biochemical interactions into large-scale models such as protein signaling pathways. However, batch machine reading of literature at today's scale (PubMed alone indexes over 1 million papers per year) is unfeasible due to both cost and processing overhead. In this work, we introduce a focused reading approach to guide the machine reading of biomedical literature towards what literature should be read to answer a biomedical query as efficiently as possible. We introduce a family of algorithms for focused reading, including an intuitive, strong baseline, and a second approach which uses a reinforcement learning (RL) framework that learns when to explore (widen the search) or exploit (narrow it). We demonstrate that the RL approach is capable of answering more queries than the baseline, while being more efficient, i.e., reading fewer documents.

READ FULL TEXT

page 1

page 2

page 3

page 4

research
06/10/2015

Teaching Machines to Read and Comprehend

Teaching machines to read natural language documents remains an elusive ...
research
02/28/2018

Medical Exam Question Answering with Large-scale Reading Comprehension

Reading and understanding text is one important component in computer ai...
research
08/19/2016

Modeling Human Reading with Neural Attention

When humans read text, they fixate some words and skip others. However, ...
research
09/17/2016

ReasoNet: Learning to Stop Reading in Machine Comprehension

Teaching a computer to read and answer general questions pertaining to a...
research
10/12/2021

Tell Me How to Survey: Literature Review Made Simple with Automatic Reading Path Generation

Recent years have witnessed the dramatic growth of paper volumes with pl...
research
01/03/2020

Characterizing Reading Time on Enterprise Emails

Email is an integral part of people's work and life, enabling them to pe...
research
06/09/2016

Key-Value Memory Networks for Directly Reading Documents

Directly reading documents and being able to answer questions from them ...

Please sign up or login with your details

Forgot password? Click here to reset