Paper: Evaluating the Impact of Alternative Dependency Graph Encodings on Solving Event Extraction Tasks

ACL ID D10-1096
Title Evaluating the Impact of Alternative Dependency Graph Encodings on Solving Event Extraction Tasks
Venue Conference on Empirical Methods in Natural Language Processing
Session Main Conference
Year 2010
Authors

In state-of-the-art approaches to information extraction (IE), dependency graphs constitute the fundamental data structure for syntactic structuring and subsequent knowledge elicita- tion from natural language documents. The top-performing systems in the BioNLP 2009 Shared Task on Event Extraction all shared the idea to use dependency structures generated by a variety of parsers — either directly or in some converted manner — and optionally modified their output to fit the special needs of IE. As there are systematic differences be- tween various dependency representations be- ing used in this competition, we scrutinize on different encoding styles for dependency in- formation and their possible impact on solv- ing several IE tasks. After assessing more or less established dependency r...