Paper: The Use Of Metadata Web-Derived Answer Patterns And Passage Context To Improve Reading Comprehension Performance

ACL ID H05-1076
Title The Use Of Metadata Web-Derived Answer Patterns And Passage Context To Improve Reading Comprehension Performance
Venue Conference on Empirical Methods in Natural Language Processing
Session Main Conference
Year 2005
Authors

A reading comprehension (RC) system attempts to understand a document and returns an answer sentence when posed with a question. RC resembles the ad hoc question answering (QA) task that aims to extract an answer from a collection of documents when posed with a question. However, since RC focuses only on a single document, the system needs to draw upon external knowledge sources to achieve deep analysis of passage sentences for answer sentence extraction. This paper proposes an approach towards RC that attempts to utilize external knowledge to improve performance beyond the baseline set by the bag-of-words (BOW) approach. Our approach emphasizes matching of metadata (i.e. verbs, named entities and base noun phrases) in passage context utilization and answer sentence extraction. We have als...