Paper: Information Extraction over Structured Data: Question Answering with Freebase

ACL ID P14-1090
Title Information Extraction over Structured Data: Question Answering with Freebase
Venue Annual Meeting of the Association of Computational Linguistics
Session Main Conference
Year 2014
Authors

Answering natural language questions us- ing the Freebase knowledge base has re- cently been explored as a platform for ad- vancing the state of the art in open do- main semantic parsing. Those efforts map questions to sophisticated meaning repre- sentations that are then attempted to be matched against viable answer candidates in the knowledge base. Here we show that relatively modest information extrac- tion techniques, when paired with a web- scale corpus, can outperform these sophis- ticated approaches by roughly 34% rela- tive gain.