A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2020; you can also visit the original URL.
The file type is
Open domain automated Question Answering (QA) aims to automatically answer users' questions in spoken language. I propose a maximum entropy-based ranking model which effectively integrates various features, including orthographic, lexical, surface pattern, syntactic and semantic features for the answer extraction. To effectively capture syntactic evidence, I present two methods: dependency relation pattern methods and dependency relation path correlation method. Both methods overcome thedoi:10.22028/d291-22541 fatcat:gyec2e3yqfdlro3hwjoetmqok4