SUMMARIZING ONLINE FORUMS INTO QUESTION-CONTEXT-ANSWER TRIPLES

摘要

In this paper, we propose a new approach to extracting question-context-answer triples from online discussion forums. More specifically, we propose a general framework based on Conditional Random Fields (CRFs) for context and answer detection, and also extend the basic framework to utilize contexts for answer detection and to better accommodate the features of forums.