Paper: A Multi-resolution Framework for Information Extraction from Free Text

ACL ID P07-1075
Title A Multi-resolution Framework for Information Extraction from Free Text
Venue Annual Meeting of the Association of Computational Linguistics
Session Main Conference
Year 2007
Authors

Extraction of relations between entities is an important part of Information Extraction on free text. Previous methods are mostly based on statistical correlation and depend- ency relations between entities. This paper re-examines the problem at the multi- resolution layers of phrase, clause and sen- tence using dependency and discourse rela- tions. Our multi-resolution framework ARE (Anchor and Relation) uses clausal relations in 2 ways: 1) to filter noisy de- pendency paths; and 2) to increase reliabil- ity of dependency path extraction. The re- sulting system outperforms the previous approaches by 3%, 7%, 4% on MUC4, MUC6 and ACE RDC domains respec- tively.