Sciweavers

Share
FSKD
2006
Springer

A Maximum Entropy Model Based Answer Extraction for Chinese Question Answering

9 years 5 months ago
A Maximum Entropy Model Based Answer Extraction for Chinese Question Answering
We regard answer extraction of Question Answering (QA) system as a classification problem, classifying answer candidate sentences into positive or negative. To confirm the feasibility of this new approach, we first extract features concerning question sentences and answer words from question answer pairs (QA pair), then we conduct experiments based on these features, using Maximum Entropy Model (MEM) as a Machine Learning (ML) technique. The
Ang Sun, Minghu Jiang, Yanjun Ma
Added 23 Aug 2010
Updated 23 Aug 2010
Type Conference
Year 2006
Where FSKD
Authors Ang Sun, Minghu Jiang, Yanjun Ma
Comments (0)
books