Paper: Modeling Biological Processes for Reading Comprehension

ACL ID D14-1159
Title Modeling Biological Processes for Reading Comprehension
Venue Conference on Empirical Methods in Natural Language Processing
Session Main Conference
Year 2014

Machine reading calls for programs that read and understand text, but most current work only attempts to extract facts from redundant web-scale corpora. In this pa- per, we focus on a new reading compre- hension task that requires complex reason- ing over a single document. The input is a paragraph describing a biological pro- cess, and the goal is to answer questions that require an understanding of the re- lations between entities and events in the process. To answer the questions, we first predict a rich structure representing the process in the paragraph. Then, we map the question to a formal query, which is executed against the predicted structure. We demonstrate that answering questions via predicted structures substantially im- proves accuracy over baselines that use shallower repre...